MongoDB (MDB - Free Report) ended the recent trading session at $371.09, demonstrating a +2.44% change from the preceding day's closing price. The stock outpaced the S&P 500's daily loss of 0.52%. Elsewhere, the Dow saw a downswing of 1.24%, while the tech-heavy Nasdaq depreciated by 0.21%.
The stock of database platform has fallen by 14.04% in the past month, lagging the Computer and Technology sector's loss of 7.7% and the S&P 500's loss of 1.21%.
The upcoming earnings release of MongoDB will be of great interest to investors. The company's upcoming EPS is projected at $1.6, signifying a 21.21% increase compared to the same quarter of the previous year. Meanwhile, the Zacks Consensus Estimate for revenue is projecting net sales of $759.63 million, up 20.9% from the year-ago period.
For the entire fiscal year, the Zacks Consensus Estimates are projecting earnings of $6.5 per share and a revenue of $3.02 billion, representing changes of +30.78% and +22.65%, respectively, from the prior year.
Investors might also notice recent changes to analyst estimates for MongoDB. These latest adjustments often mirror the shifting dynamics of short-term business patterns. As a result, upbeat changes in estimates indicate analysts' favorable outlook on the business health and profitability.
Our research shows that these estimate changes are directly correlated with near-term stock prices. To take advantage of this, we've established the Zacks Rank, an exclusive model that considers these estimated changes and delivers an operational rating system.
The Zacks Rank system, running from #1 (Strong Buy) to #5 (Strong Sell), holds an admirable track record of superior performance, independently audited, with #1 stocks contributing an average annual return of +25% since 1988. Within the past 30 days, our consensus EPS projection remained stagnant. As of now, MongoDB holds a Zacks Rank of #1 (Strong Buy).
In terms of valuation, MongoDB is presently being traded at a Forward P/E ratio of 55.77. This denotes a premium relative to the industry average Forward P/E of 20.75.
It's also important to note that MDB currently trades at a PEG ratio of 2.55. Comparable to the widely accepted P/E ratio, the PEG ratio also accounts for the company's projected earnings growth. As the market closed yesterday, the Internet - Software industry was having an average PEG ratio of 1.31.
The Internet - Software industry is part of the Computer and Technology sector. With its current Zacks Industry Rank of 83, this industry ranks in the top 34% of all industries, numbering over 250.
The Zacks Industry Rank evaluates the power of our distinct industry groups by determining the average Zacks Rank of the individual stocks forming the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.
You can find more information on all of these metrics, and much more, on Zacks.com.
Here are three stocks with buy ranks and strong growth characteristics for investors to consider today October 22nd:
MongoDB (MDB - Free Report) : This database software company, that has built its data developer platform around a flexible document-based architecture, carries a Zacks Rank #1 (Strong Buy), and has witnessed the Zacks Consensus Estimate for its current year earnings increasing 7.1% over the last 60 days.
MongoDB has a PEG ratio of 2.8 compared with 3.2 for the industry. The company possesses a Growth Score of A.
Marathon Petroleum (MPC - Free Report) : This company, which is a leading independent refiner, transporter and marketer of petroleum products, carries a Zacks Rank #1, and has witnessed the Zacks Consensus Estimate for its current year earnings increasing 36.3% over the last 60 days.
Marathon Petroleum has a PEG ratio of 0.12 compared with 0.30 for the industry. The company possesses a Growth Score of A.
ATI INC (ATI - Free Report) : This company, which is a diversified global specialty materials producer, carries a Zacks Rank #1, and has witnessed the Zacks Consensus Estimate for its current year earnings increasing 7.8% over the last 60 days.
ATI has a PEG ratio of 1.07 compared with 1.52 for the industry. The company possesses a Growth Score of B.
See the full list of top ranked stocks here.
Learn more about the Growth score and how it is calculated here.
On October 21, 2026, MongoDB Inc (MDB) shares rose 6.7% to a current price of $390.75. The stock has demonstrated volatility over the past year, with a 52-week
NEW ORLEANS--(BUSINESS WIRE)--Former Attorney General of Louisiana, Charles C. Foti, Jr., Esq., a partner at the law firm of Kahn Swick & Foti, LLC (“KSF”), announces that KSF continues its investigation into MongoDB, Inc. (NasdaqGM: MDB).
According to a securities class action complaint filed against the Company, in the first quarter of fiscal year 2024, in an effort to sustain MongoDB’s rapid growth, the Company implemented a new go-to-market strategy that eliminated sales incentives for obtaining one-year commitments from customers. The complaint alleges that this change created the illusion of sustainable growth by boosting short-term customer and workload acquisitions that had little long-term growth potential, because less information about customers’ prospective consumption was gathered during contract negotiations. Then, on May 30, 2024, despite the Company’s allegedly positive statements about its growth prospects, MongoDB released its first quarter fiscal year 2025 results and lowered its fiscal year 2025 guidance, admitting that it had “lost some focus on workload growth potential” and that workloads acquired in fiscal year 2024 were growing more slowly than expected.
Thereafter, the Company and certain of its executives were sued in a securities class action lawsuit, charging them with failing to disclose material information during the Class Period, violating federal securities laws. Recently, the Court presiding over the case denied the defendants’ motion to dismiss the case in part, allowing the case to continue.
KSF’s investigation is focusing on whether MongoDB’s officers and/or directors breached their fiduciary duties to its shareholders or otherwise violated state or federal laws.
If you have information that would assist KSF in its investigation, or have been a long-term holder of MongoDB shares and would like to discuss your legal rights, you may, without obligation or cost to you, call toll-free at 1-833-538-3606 or email KSF Managing Partner Lewis Kahn ([email protected]), or visit https://www.ksfcounsel.com/cases/nasdaqgm-mdb/ to learn more.
About Kahn Swick & Foti, LLC
KSF, whose partners include former Louisiana Attorney General Charles C. Foti, Jr., is one of the nation’s premier boutique securities litigation law firms. This past year, KSF was ranked by SCAS among the top 10 firms nationally based upon total settlement value. KSF serves a variety of clients, including public and private institutional investors, and retail investors - in seeking recoveries for investment losses emanating from corporate fraud or malfeasance by publicly traded companies. KSF has offices in New York, Delaware, California, Louisiana, Chicago, and a representative office in Luxembourg.
TOP 10 Plaintiff Law Firms - According to ISS Securities Class Action Services
To learn more about KSF, you may visit www.ksfcounsel.com.
MongoDB (NASDAQ:MDB – Get Free Report) and Salesforce (NYSE:CRM – Get Free Report) are both large-cap technology companies, but which is the better investment? We will compare the two companies based on the strength of their dividends, profitability, institutional ownership, risk, analyst recommendations, earnings and valuation.
Valuation & Earnings
This table compares MongoDB and Salesforce”s revenue, earnings per share (EPS) and valuation.
Gross Revenue
Price/Sales Ratio
Net Income
Earnings Per Share
Price/Earnings Ratio
MongoDB
$2.46 billion
11.98
-$71.15 million
$0.71
516.18
Salesforce has higher revenue and earnings than MongoDB. Salesforce is trading at a lower price-to-earnings ratio than MongoDB, indicating that it is currently the more affordable of the two stocks.
Profitability
This table compares MongoDB and Salesforce’s net margins, return on equity and return on assets.
Net Margins
Return on Equity
Return on Assets
MongoDB
2.12%
1.06%
0.84%
Salesforce
21.99%
24.90%
11.27%
Institutional and Insider Ownership
89.3% of MongoDB shares are held by institutional investors. Comparatively, 80.4% of Salesforce shares are held by institutional investors. 2.6% of MongoDB shares are held by insiders. Comparatively, 3.5% of Salesforce shares are held by insiders. Strong institutional ownership is an indication that hedge funds, large money managers and endowments believe a company will outperform the market over the long term.
Analyst Recommendations
This is a breakdown of current ratings for MongoDB and Salesforce, as provided by MarketBeat.com.
MongoDB presently has a consensus target price of $462.91, indicating a potential upside of 26.31%. Salesforce has a consensus target price of $278.12, indicating a potential upside of 12.75%. Given MongoDB’s stronger consensus rating and higher possible upside, equities research analysts clearly believe MongoDB is more favorable than Salesforce.
Volatility & Risk
MongoDB has a beta of 1.74, indicating that its stock price is 74% more volatile than the S&P 500. Comparatively, Salesforce has a beta of 1.26, indicating that its stock price is 26% more volatile than the S&P 500.
Summary
Salesforce beats MongoDB on 9 of the 15 factors compared between the two stocks.
About MongoDB
(Get Free Report)
MongoDB, Inc., together with its subsidiaries, provides general purpose database platform worldwide. The company provides MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB. It offers professional services comprising consulting and training. The company was formerly known as 10gen, Inc. and changed its name to MongoDB, Inc. in August 2013. MongoDB, Inc. was incorporated in 2007 and is headquartered in New York, New York.
About Salesforce
(Get Free Report)
Salesforce, Inc. provides Customer Relationship Management (CRM) technology that brings companies and customers together worldwide. The company's service includes sales to store data, monitor leads and progress, forecast opportunities, gain insights through analytics and artificial intelligence, and deliver quotes, contracts, and invoices; and service that enables companies to deliver trusted and highly personalized customer support at scale. In addition, its platform offering comprise a flexible platform that enables companies of various sizes, locations, and industries to build business workflow and apps with customer; online learning platform that allows anyone to learn in-demand Salesforce skills; and Slack, an intelligent productivity platform. The company's marketing services enables companies to plan, personalize, automate, and optimize customer marketing journey, connecting interaction, and connected products; and commerce services, which empowers shopping experience across various customer touchpoint, such as mobile, web, social, and stores and provides click-to-code tools that offers customers to build and deploy solutions. Further, its analytics offering includes Tableau, an end-to-end analytics solution for range of enterprise use cases and intelligent analytics with AI models, spot trends, predict outcomes, creates summaries, timely recommendations, and take action from any device; and integration service including MuleSoft, which provides building blocks to deliver end-to-end and connected experiences. Additionally, the company provides data cloud, a hyperscale data engine native to Salesforce; vertical services to meet the needs of customers in industries, such as financial services, healthcare and life sciences, manufacturing and automotive and government; and offers salesforce starter for small and medium-sized businesses. Salesforce, Inc. was incorporated in 1999 and is headquartered in San Francisco, California.
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In the latest close session, MongoDB (MDB - Free Report) was up +2.86% at $366.49. The stock exceeded the S&P 500, which registered a gain of 0.33% for the day. Elsewhere, the Dow gained 1.08%, while the tech-heavy Nasdaq added 0.08%.
Shares of the database platform witnessed a loss of 5.33% over the previous month, trailing the performance of the Computer and Technology sector with its gain of 1.62%, and the S&P 500's gain of 1.41%.
The upcoming earnings release of MongoDB will be of great interest to investors. In that report, analysts expect MongoDB to post earnings of $1.6 per share. This would mark year-over-year growth of 21.21%. Our most recent consensus estimate is calling for quarterly revenue of $759.79 million, up 20.93% from the year-ago period.
For the entire fiscal year, the Zacks Consensus Estimates are projecting earnings of $6.5 per share and a revenue of $3.02 billion, representing changes of +30.78% and +22.69%, respectively, from the prior year.
Investors should also take note of any recent adjustments to analyst estimates for MongoDB. Such recent modifications usually signify the changing landscape of near-term business trends. Hence, positive alterations in estimates signify analyst optimism regarding the business and profitability.
Empirical research indicates that these revisions in estimates have a direct correlation with impending stock price performance. To benefit from this, we have developed the Zacks Rank, a proprietary model which takes these estimate changes into account and provides an actionable rating system.
The Zacks Rank system, running from #1 (Strong Buy) to #5 (Strong Sell), holds an admirable track record of superior performance, independently audited, with #1 stocks contributing an average annual return of +25% since 1988. Over the last 30 days, the Zacks Consensus EPS estimate has witnessed an unchanged state. MongoDB currently has a Zacks Rank of #1 (Strong Buy).
Looking at valuation, MongoDB is presently trading at a Forward P/E ratio of 54.85. For comparison, its industry has an average Forward P/E of 20.42, which means MongoDB is trading at a premium to the group.
It is also worth noting that MDB currently has a PEG ratio of 2.5. The PEG ratio is akin to the commonly utilized P/E ratio, but this measure also incorporates the company's anticipated earnings growth rate. The Internet - Software industry currently had an average PEG ratio of 1.18 as of yesterday's close.
The Internet - Software industry is part of the Computer and Technology sector. This group has a Zacks Industry Rank of 83, putting it in the top 34% of all 250+ industries.
The Zacks Industry Rank gauges the strength of our individual industry groups by measuring the average Zacks Rank of the individual stocks within the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.
Be sure to use Zacks.com to monitor all these stock-influencing metrics, and more, throughout the forthcoming trading sessions.
Key Takeaways MongoDB's customers generating at least $100,000 in ARR increased 17% year over year.Atlas revenues grew approximately 29%, benefiting from strong large-enterprise demand.Net ARR expansion improved to 122%, reflecting increasing customer spending.
MongoDB (MDB - Free Report) is benefiting from deeper adoption among large enterprises, strengthening recurring revenue growth and cloud database consumption. In the second quarter of fiscal 2027, the company had nearly 3,000 customers generating at least $100,000 in annual recurring revenues (ARR), up 17% year over year. Revenue growth from this cohort outpaced total company revenue growth, underscoring MongoDB’s success in moving upmarket.
Atlas remains central to this momentum. Revenues increased approximately 29% year over year for the fifth consecutive quarter, marking a record $127 million growth. Strength among its largest customers, particularly in North America, supported this performance. MongoDB’s total-company net ARR expansion rate rose to 122% from 119% a year earlier, indicating stronger expansion across its existing customer base.
Deeper platform adoption is also strengthening growth. Among Atlas customers generating at least $100,000 in ARR, 48% used two or more features, up from 42% a year earlier, driven by increasing Search and Vector Search adoption. Enterprise Advanced further supports expansion through regulated and hybrid deployments.
MongoDB raised its full-year fiscal 2027 Atlas growth outlook to approximately 27%, up 300 basis points from the midpoint of its previous guidance. Growing enterprise workloads, multiproduct adoption and AI-driven demand position the company for sustained revenue expansion.
How Do Competitors Fare Against MDB?Amazon (AMZN - Free Report) competes with MongoDB through its fully managed DocumentDB service, which supports MongoDB-compatible applications and scalable document databases. Amazon offers automated database management, high availability and integration with AWS infrastructure, appealing to enterprises modernizing cloud workloads. Its established hyperscaler relationships position Amazon as a formidable competitor for large enterprise database spending.
Microsoft (MSFT - Free Report) challenges MongoDB through Azure Cosmos DB for MongoDB, which supports document databases, vector search and AI-powered applications. Microsoft benefits from Azure's extensive enterprise relationships and integration with cloud and AI services. As businesses consolidate database workloads within their cloud ecosystems, Microsoft presents significant competition for MongoDB's expanding large-enterprise customer base.
MDB’s Share Price Performance, Valuation & EstimatesShares of MDB have declined 15.1% year to date, significantly underperforming the broader Zacks Computer and Technology sector's 19.2% growth.
Image Source: Zacks Investment Research
From a valuation standpoint, MDB stock is currently trading at a forward 12-month Price/Sales ratio of 8.41X compared with the Internet – Software industry’s 4.35X. MDB has a Value Score of C.
Image Source: Zacks Investment Research
The Zacks Consensus Estimate projects 2026 earnings of $6.50 per share, representing a substantial 30.78% year-over-year gain. Estimates have been raised over both the past 30 and 60 days, suggesting continued improvement in analysts’ expectations.
Image Source: Zacks Investment Research
MongoDB currently sports a Zacks Rank #1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.
Key Takeaways MongoDB's shares have fallen 11.1% YTD, trailing the tech sector amid valuation and competitive concerns.Atlas grew about 29% in Q2 FY27, with a record $127 million in incremental year-over-year revenues.Enterprise Advanced sales rose about 36%, while 30% of Atlas ARR comes from customers with an AI use case. Shares of MongoDB (MDB - Free Report) have declined 11.1% year to date (YTD), underperforming the broader Zacks Computer and Technology sector and the Zacks Internet Software industry, which have gained 22.5% and 11%, respectively.
MDB has also lagged competitors Datadog (DDOG - Free Report) , Snowflake (SNOW - Free Report) and Nutanix (NTNX - Free Report) . During the same timeframe, Datadog, Snowflake and Nutanix have gained 108.3%, 63.1% and 41%, respectively. These competitors are strengthening their positions in the cloud infrastructure, enterprise data management and AI-driven software markets, with Datadog, Snowflake and Nutanix benefiting from growing demand for their respective offerings.
MongoDB's weak stock performance reflects investor concerns regarding its premium valuation, consumption-driven revenue model and intensifying competition. Despite accelerating revenue growth, uncertainty surrounding the pace of AI monetization and the sustainability of enterprise spending continues to weigh on investor sentiment.
However, we believe the decline presents an attractive buying opportunity, supported by robust Atlas adoption, strengthening Enterprise Advanced demand, expanding AI capabilities and improving profitability. Upward earnings estimate revisions and an improving growth outlook further reinforce MongoDB's long-term investment appeal. Let's discuss in detail.
MDB Stock’s Price Performance
Image Source: Zacks Investment Research
MongoDB Benefits From Strong Atlas GrowthMongoDB's Atlas cloud database platform remains its primary growth driver, benefiting from accelerating cloud adoption, enterprise modernization and increasing demand for scalable data infrastructure.
In the second quarter of fiscal 2027, Atlas revenues increased approximately 29% year over year for the fifth consecutive quarter. The platform generated a record $127 million in year-over-year incremental revenues, reflecting strong consumption trends among large enterprise customers, particularly in North America.
MongoDB's expanding customer base underscores its growth momentum. The company ended the quarter with 70,600 customers, adding a record 2,900 net new customers sequentially. Atlas customers reached 69,300, up from 58,500 in the year-ago quarter.
The company's net annual recurring revenue (ARR) expansion rate improved to 122% from 119% a year earlier. Moreover, customers generating at least $100,000 in ARR increased 17% year over year to nearly 3,000, highlighting strengthening enterprise adoption.
Management expects Atlas revenues to grow approximately 27% in fiscal 2027, up 300 basis points from its previous outlook. Sustained enterprise demand, increasing multiproduct adoption and expanding workloads are expected to support growth.
AI Innovation Expands MongoDB's Growth OpportunitiesMongoDB is benefiting from growing demand for AI-powered applications that require real-time operational data, flexible database architectures and advanced retrieval capabilities.
Its integrated platform combines operational databases, Atlas Search, Vector Search, Voyage AI embedding models and reranking capabilities, enabling enterprises to develop AI applications without relying on multiple disconnected systems.
The company recently introduced Automated Voyage Embeddings, the Atlas Embedding and Reranking API, voyage-code-4 and Vector Search in Atlas Stream Processing. These innovations simplify AI application development while improving retrieval accuracy and efficiency.
MongoDB also launched its fully managed Atlas Model Context Protocol (MCP) Server, connecting AI coding agents such as Claude Code, Codex, Grok Build and Devin directly to Atlas data.
AI adoption is gaining traction among customers. Voyage customer count nearly doubled sequentially for the second consecutive quarter, while Atlas Vector Search adoption continued to outpace overall company growth. The company indicates that approximately 30% of Atlas ARR comes from customers with at least one AI use case, demonstrating growing AI exposure, although this does not represent AI-specific revenue.
MongoDB's expanding relationships with AI-native companies, including ElevenLabs and Fireflies, further strengthen its positioning. As enterprises increasingly deploy AI agents and intelligent applications, demand for scalable operational databases is likely to accelerate.
Enterprise Advanced Strengthens MDB's ProspectsMongoDB's Enterprise Advanced (EA) business provides another growth opportunity through its ability to support self-managed, private-cloud and hybrid deployments.
EA and other revenues surged approximately 36% year over year in the second quarter of fiscal 2027, driven by broad-based enterprise demand across financial services, technology and the public sector.
The introduction of Search and Vector Search capabilities in Enterprise Advanced strengthens MongoDB's competitive positioning among regulated organizations seeking to deploy AI applications without transferring sensitive data to public clouds.
Management raised its fiscal 2027 EA and other revenue growth outlook to approximately 11% from the earlier mid-single-digit expectation. The company's run-anywhere strategy, which allows customers to deploy applications across cloud and on-premises environments, should support sustained enterprise adoption.
MDB's Earnings Estimates Show Upward MomentumThe Zacks Consensus Estimate for fiscal 2027 earnings is pegged at $6.50 per share, increasing from $6.06 over the past 60 days and implying 30.78% year-over-year growth.
The consensus estimate for fiscal 2028 earnings stands at $7.75 per share, rising from $7.26 over the past 60 days and indicating 19.36% annual growth.
For the third quarter of fiscal 2027, the consensus estimate for earnings stands at $1.60 per share, implying 21.21% growth from the year-ago quarter. These positive revisions reflect strengthening expectations regarding MongoDB's earnings potential.
Image Source: Zacks Investment Research
Valuation: MDB Shares Trade at a PremiumMongoDB’s shares remain expensive relative to the industry, as suggested by its Value Score of F. In terms of forward 12-month price-to-sales (P/S), MDB trades at 8.81X, significantly higher than the industry's 4.49X.
However, this premium is supported by MongoDB's strong Atlas growth, expanding AI capabilities, increasing enterprise adoption and improving profitability.
MDB Stock’s Valuation
Image Source: Zacks Investment Research
ConclusionDespite its year-to-date underperformance and premium valuation, MongoDB's accelerating cloud database adoption, expanding AI opportunities, resilient Enterprise Advanced business and improving profitability strengthen its long-term growth prospects.
Positive earnings estimate revisions and robust enterprise demand further support the investment case. Although competitive pressures and consumption-related uncertainty remain concerns, the company's strong fundamentals suggest that the recent share-price weakness offers an opportunity for long-term investors to accumulate MDB shares.
MongoDB currently sports a Zacks Rank #1 (Strong Buy) along with a Growth Score of A — a combination that underscores its solid growth prospects and attractive investment opportunity, per the Zacks methodology. You can see the complete list of today’s Zacks #1 Rank stocks here.
The company's CEO was poached by another tech company.
*Stock prices used were the afternoon prices of Oct. 10, 2026. The video was published on Oct. 12, 2026.
Parkev Tatevosian, CFA has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends MongoDB. The Motley Fool has a disclosure policy. Parkev Tatevosian is an affiliate of The Motley Fool and may be compensated for promoting its services. If you choose to subscribe through his link, he will earn some extra money that supports his channel. His opinions remain his own and are unaffected by The Motley Fool.
MongoDB Inc (NASDAQ:MDB), the US database software company, has retained a 'Buy' rating from Bank of America Securities and $540 price target, with the broker citing its long-term growth prospects in artificial intelligence and enterprise modernisation.
Analysts reaffirmed the rating following an investor meeting with management, highlighting MongoDB’s document-based database technology as a differentiated platform for businesses modernising their systems and developing AI applications.
The broker sees Atlas Infinite, MongoDB’s platform designed to let computing power and storage capacity scale independently, as a potential catalyst for adoption of AI workloads that require flexible infrastructure.
The platform is intended to support agentic artificial intelligence, in which software systems can perform tasks and take actions with limited human intervention, creating potential demand for databases that can respond to changing workloads.
Bank of America’s assessment reflects MongoDB’s long-term targets for annual revenue growth above 20% and generally accepted accounting principles (GAAP) profitability from 2027.
The broker raised its revenue forecasts for financial 2028 by 3% to $3.65 billion and for financial 2029 by 6% to $4.39 billion, reflecting greater confidence in the company’s growth trajectory.
It also increased its projected non-GAAP operating margins to 21.9% for financial 2028 and 22.9% for financial 2029, signalling expectations of improving profitability as revenue expands.
However, the leadership transition remains a near-term risk, while competition from traditional database providers such as PostgreSQL continues to shape investor debate over MongoDB’s competitive advantages.
Bank of America will monitor Atlas revenue growth and net revenue retention, which measures spending changes among existing customers, for evidence that Atlas Infinite is translating into sustained customer adoption.
The $540 price target reflects the broker’s confidence that MongoDB can combine AI-related demand with enterprise modernisation to deliver durable revenue growth and margin expansion.
Shareholders are encouraged to contact the firm to discuss their rights and options at no cost or obligation. We would handle any matter on a contingent fee basis, whereby you would not be responsible for out-of-pocket payment of our legal fees or expenses.
Shareholders should contact the firm immediately as there may be limited time to enforce your rights.
, /PRNewswire/ -- Halper Sadeh LLC, an investor rights law firm, is investigating whether certain officers and directors of MongoDB, Inc. (NASDAQ: MDB) breached their fiduciary duties to shareholders.
If you currently own MongoDB stock and are a long-term shareholder, you may be able to seek corporate governance reforms, the return of funds back to the company, a court-approved financial incentive award, or other relief and benefits. Please click here to learn more about your legal rights and options or contact Daniel Sadeh or Zachary Halper at (212) 763-0060 or [email protected] or [email protected].
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Attorney Advertising. Prior results do not guarantee a similar outcome.
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MongoDB, Inc. (NASDAQ:MDB – Get Free Report) has been assigned an average recommendation of “Moderate Buy” from the thirty-seven research firms that are covering the company, Marketbeat reports. Seven equities research analysts have rated the stock with a hold rating, twenty-eight have assigned a buy rating and two have issued a strong buy rating on the company. The average 12 month price objective among brokers that have updated their coverage on the stock in the last year is $462.59.
A number of brokerages recently issued reports on MDB. Evercore reissued an “outperform” rating on shares of MongoDB in a research report on Thursday, September 24th. Piper Sandler reaffirmed an “overweight” rating and set a $470.00 price target on shares of MongoDB in a research report on Wednesday, September 30th. Rosenblatt Securities boosted their price objective on MongoDB from $395.00 to $445.00 and gave the company a “buy” rating in a research note on Wednesday, September 2nd. Cantor Fitzgerald reiterated an “overweight” rating and issued a $540.00 price objective on shares of MongoDB in a research note on Friday, October 2nd. Finally, Guggenheim reissued a “buy” rating and issued a $560.00 price objective on shares of MongoDB in a report on Tuesday, September 29th.
Check Out Our Latest Stock Report on MDB
MongoDB Price Performance Shares of NASDAQ:MDB opened at $360.71 on Wednesday. MongoDB has a 12 month low of $215.68 and a 12 month high of $473.10. The firm has a market capitalization of $29.06 billion, a P/E ratio of 508.04, a P/E/G ratio of 38.59 and a beta of 1.74. The company’s fifty day moving average price is $393.08 and its 200 day moving average price is $334.91. MongoDB (NASDAQ:MDB – Get Free Report) last released its quarterly earnings data on Tuesday, September 1st. The company reported $1.90 earnings per share (EPS) for the quarter, beating the consensus estimate of $1.62 by $0.28. MongoDB had a net margin of 2.12% and a return on equity of 1.06%. The company had revenue of $771.77 million during the quarter, compared to the consensus estimate of $735.01 million. During the same quarter in the prior year, the firm posted $1.00 earnings per share. MongoDB’s revenue for the quarter was up 30.5% on a year-over-year basis. MongoDB has set its Q3 2027 guidance at 1.570-1.610 EPS and its FY 2027 guidance at 6.390-6.580 EPS. On average, sell-side analysts anticipate that MongoDB will post 0.47 EPS for the current year.
Insider Buying and Selling at MongoDB In related news, Director Hope Cochran sold 1,000 shares of the company’s stock in a transaction on Thursday, September 17th. The shares were sold at an average price of $375.92, for a total value of $375,920.00. Following the completion of the sale, the director owned 28,326 shares in the company, valued at $10,648,309.92. This represents a 3.41% decrease in their position. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which is available through the SEC website. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Dwight Merriman sold 6,000 shares of the firm’s stock in a transaction on Monday, August 17th. The stock was sold at an average price of $451.75, for a total transaction of $2,710,500.00. Following the transaction, the director directly owned 452,896 shares in the company, valued at $204,595,768. The trade was a 1.31% decrease in their ownership of the stock. The SEC filing for this sale provides additional information. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. In the last quarter, insiders sold 17,000 shares of company stock valued at $7,792,320. 2.60% of the stock is owned by insiders.
Hedge Funds Weigh In On MongoDB Hedge funds and other institutional investors have recently made changes to their positions in the stock. Juncture Wealth Strategies LLC increased its position in MongoDB by 10.3% in the 3rd quarter. Juncture Wealth Strategies LLC now owns 792 shares of the company’s stock valued at $276,000 after acquiring an additional 74 shares during the period. MassMutual Private Wealth & Trust FSB raised its stake in MongoDB by 5,333.3% during the 3rd quarter. MassMutual Private Wealth & Trust FSB now owns 8,150 shares of the company’s stock valued at $2,841,000 after acquiring an additional 8,000 shares during the last quarter. Versant Capital Management Inc lifted its position in MongoDB by 8.7% during the 3rd quarter. Versant Capital Management Inc now owns 1,712 shares of the company’s stock worth $597,000 after acquiring an additional 137 shares during the period. QRG Capital Management Inc. lifted its position in MongoDB by 10.3% during the 2nd quarter. QRG Capital Management Inc. now owns 1,341 shares of the company’s stock worth $450,000 after acquiring an additional 125 shares during the period. Finally, Envestnet Portfolio Solutions Inc. grew its stake in shares of MongoDB by 59.3% in the 2nd quarter. Envestnet Portfolio Solutions Inc. now owns 7,243 shares of the company’s stock valued at $2,433,000 after purchasing an additional 2,697 shares during the last quarter. Hedge funds and other institutional investors own 89.29% of the company’s stock.
MongoDB Company Profile (Get Free Report)
MongoDB, Inc develops and provides a general-purpose, document-oriented database platform. Its technology is designed to help organizations store, manage and analyze structured and unstructured data for applications such as artificial intelligence, analytics, mobile services, e-commerce and enterprise software.
The company’s principal offering is MongoDB Atlas, a fully managed cloud database service available across major cloud infrastructure providers. MongoDB also offers Enterprise Advanced, which provides commercial database software, security, operational controls and support for organizations running databases in their own environments or across hybrid and multicloud infrastructures.
Further Reading Five stocks we like better than MongoDB Constellation Energy’s Google Deal Shows Why Nuclear Uprates Matter for AI Lamb Weston’s Turnaround Is Starting to Look Real These 3 Stocks Got the Most Love From Analysts in September Record French Debt Could Create Opportunities for U.S. Market Operators
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MassMutual Private Wealth & Trust FSB increased its position in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 5,333.3% during the 3rd quarter, according to the company in its most recent Form 13F filing with the Securities and Exchange Commission (SEC). The institutional investor owned 8,150 shares of the company’s stock after purchasing an additional 8,000 shares during the period. MassMutual Private Wealth & Trust FSB’s holdings in MongoDB were worth $2,841,000 at the end of the most recent quarter.
Other hedge funds and other institutional investors have also recently added to or reduced their stakes in the company. Versant Capital Management Inc boosted its stake in MongoDB by 8.7% during the 3rd quarter. Versant Capital Management Inc now owns 1,712 shares of the company’s stock valued at $597,000 after purchasing an additional 137 shares in the last quarter. QRG Capital Management Inc. raised its stake in shares of MongoDB by 10.3% in the 2nd quarter. QRG Capital Management Inc. now owns 1,341 shares of the company’s stock worth $450,000 after buying an additional 125 shares in the last quarter. Envestnet Portfolio Solutions Inc. raised its stake in shares of MongoDB by 59.3% in the 2nd quarter. Envestnet Portfolio Solutions Inc. now owns 7,243 shares of the company’s stock worth $2,433,000 after buying an additional 2,697 shares in the last quarter. SkyView Investment Advisors LLC acquired a new stake in shares of MongoDB in the second quarter valued at $252,000. Finally, Sequoia Financial Advisors LLC lifted its holdings in shares of MongoDB by 36.7% in the second quarter. Sequoia Financial Advisors LLC now owns 2,610 shares of the company’s stock valued at $877,000 after buying an additional 701 shares during the period. Institutional investors own 89.29% of the company’s stock.
Insider Activity In other news, Director Hope Cochran sold 1,000 shares of the company’s stock in a transaction dated Thursday, September 17th. The stock was sold at an average price of $375.92, for a total value of $375,920.00. Following the transaction, the director owned 28,326 shares in the company, valued at $10,648,309.92. This represents a 3.41% decrease in their position. The sale was disclosed in a document filed with the Securities & Exchange Commission, which is available at this link. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Dwight Merriman sold 10,000 shares of the stock in a transaction that occurred on Friday, August 14th. The stock was sold at an average price of $470.59, for a total transaction of $4,705,900.00. Following the completion of the sale, the director directly owned 962,953 shares of the company’s stock, valued at $453,156,052.27. This trade represents a 1.03% decrease in their ownership of the stock. The disclosure for this sale is available in the SEC filing. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. In the last ninety days, insiders have sold 17,000 shares of company stock worth $7,792,320. Company insiders own 2.60% of the company’s stock.
MongoDB Stock Up 0.4% MDB opened at $359.23 on Tuesday. The firm has a market capitalization of $28.94 billion, a P/E ratio of 505.96, a PEG ratio of 38.46 and a beta of 1.74. The stock has a fifty day moving average of $392.08 and a 200-day moving average of $334.26. MongoDB, Inc. has a 12-month low of $215.68 and a 12-month high of $473.10. MongoDB (NASDAQ:MDB – Get Free Report) last issued its quarterly earnings results on Tuesday, September 1st. The company reported $1.90 earnings per share for the quarter, beating analysts’ consensus estimates of $1.62 by $0.28. The business had revenue of $771.77 million for the quarter, compared to the consensus estimate of $735.01 million. MongoDB had a return on equity of 1.06% and a net margin of 2.12%.MongoDB’s revenue for the quarter was up 30.5% compared to the same quarter last year. During the same quarter in the previous year, the company posted $1.00 earnings per share. MongoDB has set its Q3 2027 guidance at 1.570-1.610 EPS and its FY 2027 guidance at 6.390-6.580 EPS. On average, analysts expect that MongoDB, Inc. will post 0.47 earnings per share for the current fiscal year.
Analysts Set New Price Targets A number of research firms recently issued reports on MDB. Wells Fargo & Company lifted their target price on MongoDB from $375.00 to $475.00 and gave the stock an “overweight” rating in a report on Tuesday, August 25th. Weiss Ratings raised shares of MongoDB from a “sell (d-)” rating to a “hold (c-)” rating in a report on Wednesday, September 2nd. Scotiabank restated an “outperform” rating on shares of MongoDB in a research report on Wednesday, September 2nd. Monness Crespi & Hardt lifted their price objective on shares of MongoDB from $460.00 to $500.00 and gave the stock a “buy” rating in a research note on Wednesday, September 2nd. Finally, Oppenheimer boosted their target price on shares of MongoDB from $410.00 to $475.00 and gave the stock an “outperform” rating in a report on Wednesday, August 12th. Two analysts have rated the stock with a Strong Buy rating, twenty-eight have issued a Buy rating and seven have issued a Hold rating to the stock. Based on data from MarketBeat, the stock currently has an average rating of “Moderate Buy” and an average price target of $462.59.
Read Our Latest Stock Analysis on MDB
MongoDB Company Profile (Free Report)
MongoDB, Inc develops and provides a general-purpose, document-oriented database platform. Its technology is designed to help organizations store, manage and analyze structured and unstructured data for applications such as artificial intelligence, analytics, mobile services, e-commerce and enterprise software.
The company’s principal offering is MongoDB Atlas, a fully managed cloud database service available across major cloud infrastructure providers. MongoDB also offers Enterprise Advanced, which provides commercial database software, security, operational controls and support for organizations running databases in their own environments or across hybrid and multicloud infrastructures.
See Also Five stocks we like better than MongoDB NVIDIA’s Record High Raises a Bigger Question About How Far the Rally Can Run A Manufacturing Surprise Could Be a Big Win for These 2 Companies What a $1 Billion Chip Deal Says About Amazon’s AI Ambitions 3 Stocks Benefiting From AI Demand Just Announced Major Buybacks Want to see what other hedge funds are holding MDB? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for MongoDB, Inc. (NASDAQ:MDB – Free Report).
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Key Takeaways AI evolves from perception to agentic systems.Meta's Muse outpaces ChatGPT's launch record.Meta drives growth targeting enterprise AI. The Four Waves of the AI RevolutionAccording to NVIDIA’s ((NVDA - Free Report) ) iconic CEO Jensen Huang, there are four waves of the artificial intelligence revolution:
1. Perception AI (2012): Started over a decade ago. Focused on core recognition tasks like speech recognition and image classification.
2. Generative AI: Dominated recent years and characterized by large language models like OpenAI’s ChatGPT and Alphabet’s ((GOOGL - Free Report) ) Gemini that generate text, code, and images based on predictive patterns.
3. Agentic AI (Entering this Phase Now): Enables models to reason, plan, and perform complex multi-step tasks independently.
4. Physical AI (likely to be in 2027/2028): The next major industrial revolution. Integrates AI into real-world applications, advanced automation, and human-like robots that understand the laws of physics.
What is Agentic AI?Agentic AI refers to artificial intelligence systems that can act independently to achieve multi-step goals without human supervision. Investors can think of agentic AI applications as the technology equivalent of a personal assistant. Unlike traditional chatbots that only answer single prompts, agentic AI has agency. It breaks user’s request into small steps, creates plans, uses tools (like external websites or APIs), and adapts to new information to complete an entire workflow on its own.
Real-World Agentic AI Examples
Imagine that you want to book the cheapest one-way flight from New York to London. Rather than manually searching through numerous websites, you can prompt an agentic AI application to do the work for you. Once the flight is found, the user merely has to confirm payment. Agentic AI can also be used in corporate settings. For instance, an e-commerce company can leverage agentic AI to conduct refunds. With clear rules, the AI system can decide whether a refund is allowed, process it automatically, update the in-house database, and create a shipping label. Agentic AI can even help financial companies to scan for fraud, automate loan approvals, and handle compliance checks.
Meta Launches “Muse” Personal AI AssistantOn September 8th,tech giant Meta Platforms ((META - Free Report) ) launched “Muse”, its first personal AI agent. Muse uses built-in intelligence to browse the internet and connect users to their favorite applications, like travel website Expedia ((EXPE - Free Report) ) or Google’s Gmail.
Muse Dethrones ChatGPTOver the past few months, the number of AI product launches has been dizzying as tech companies look to cash in on the hype surrounding Wall Street’s hottest industry, artificial intelligence. In September alone, OpenAI expanded the “GPT-6” universe, Anthropic released “Claude Opus 5.5,” xAI launched “Grok 4.7,” and Google updated its family of applications. However, Meta’s “Muse” launch is arguably the most significant application release thus far in the AI revolution. In fact, within just a handful of days, Muse jumped to #1 on the Apple ((AAPL - Free Report) ) App Store and Google Play. Meanwhile, according to Apptopia app analytics, Meta reached 1.1 million installs roughly 10 days after launch, surpassing ChatGPT’s 2022 launch. For context, before the Muse launch, ChatGPT was the fastest-growing consumer application in history.
Image Source: Zacks Investment Research
Mark Zuckerberg is VindicatedThe business community widely recognizes Meta founder and CEO Mark Zuckerberg for his high-stakes, forward-looking business strategy. Zuck’s business acumen perfectly embodies hockey legend Wayne Gretzky’s famous philosophy:
“Skate to where the puck is going to be, not where it has been.”
For instance, Zuckerberg understood the threat of mobile-first, photo-centric social media platforms. In 2012, he shelled out $1 billion for Instagram. At the time, critics scoffed at a $1 billion purchase for an app with fewer than 20 employees. Today, Instagram is worth between $250 and $350 billion. Two years later, Zuckerberg saw that the future of global communication belonged to lightweight, cross-platform messaging networks. Zuckerberg paid a mind-boggling $19 billion for “WhatsApp,” outbidding Google. Today, WhatsApp boasts 3.3 billion global monthly active users and is valued at well over $100 billion.
Despite the impressive track record, Zuckerberg and the Meta team still have their fair share of doubters. In fact, Meta shares have traded in a sloppy, frustrating price consolidation for two years.
Image Source: Zacks Investment Research
However, investors are finally catching on to the potential of Meta’s AI ambitions. In September, Meta shares jumped more than 25%, marking its largest monthly gain in over a decade.
Image Source: Zacks Investment Research
In 2026, Meta spent more than $100 billion on its AI investments. In fact, Meta even poached top AI talent from industry peers for a cool $100 million. The enormous spending has created fear, uncertainty, and doubt across Wall Street. That said, Muse should dispel that fear. That fear has led to a reasonable 25x P/E ratio for Meta shares.
Image Source: Zacks Investment Research
Wall Street Analysts Will Need to Play Catch-UpDespite the fact that Meta just had the most successful AI launch in history, most Wall Street analysts have not raised their earnings revisions to reflect that success. Actually, more analysts tracked by Zacks Investment Research have lowered their targets for next quarter over the past 60 days.
Image Source: Zacks Investment Research
Meta Aims at Enterprise MarketLast week, MongoDB ((MDB - Free Report) ) CEO CJ Desai jumped ship to run Meta’s enterprise platform business, underscoring that Meta has a “rare advantage” across models, infrastructure and agents. Zuckerberg commented that:
“We believe superintelligence will create significant new opportunities for all people and businesses. Meta already serves billions of people at scale and helps hundreds of millions of businesses reach customers. Today we are starting the next major pillar of our business, Meta Enterprise Platform, to help businesses use AI to grow and transform in new ways as well. Meta Enterprise Platform will use our strengths that few other companies have: advanced models, leading agents, large-scale infrastructure, and years of working closely with many businesses. Initially, we will focus on bringing our full technology stack, including the Muse agent, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers to help them grow.”
Meta’s move into the enterprise market is a brilliant one. Enterprise customers not only have deeper pockets, but they also tend to be stickier clients. According to The Business Research Company, the enterprise AI market will grow from ~$40 billion in 2026 to ~$164 billion by 2030, which assumes a juicy compound annual growth rate (CAGR) of 42%.
Image Source: The Business Research Commpany
Meta Price TargetIf Meta shares can break out of the current multi-year base, the Fibonacci extensions suggest a target of $1,000 per share by the end of next year is reasonable.
Image Source: TradingView
Bottom Line
As Meta bridges the gap between consumer-facing autonomy and high-value enterprise utility, the broader market is only beginning to wake up to what is happening. Backed by a robust technology stack, record-breaking adoption metrics, and massive long-term vision, Meta has positioned itself at the epicenter of the agentic revolution. For investors willing to look past near-term spending anxieties, the launch of Muse may well be remembered as the catalyst that sent Meta shares to $1,000.
MongoDB, Inc. (NASDAQ:MDB – Get Free Report) rose 6% during trading on Wednesday. The company traded as high as $370.43 and last traded at $357.5260. Approximately 1,907,032 shares changed hands during trading, a decline of 4% from the average session volume of 1,992,845 shares. The stock had previously closed at $337.19.
MongoDB News Summary Here are the key news stories impacting MongoDB this week:
Positive Sentiment: At Investor Day, MongoDB raised its long-term outlook, targeting total revenue growth of at least 20% for fiscal 2028–2030, compared with its previous high-teens expectation. Management also expects Atlas growth of roughly 25% annually over the next three years and continued margin expansion. MongoDB has AI momentum on its side, BofA says following investor day Positive Sentiment: New offerings—including MongoDB 9.0, Atlas Infinite, and Atlas Agent Engine—strengthen the company’s artificial-intelligence platform positioning. Bank of America called the event a net positive and maintained its Buy rating. Positive Sentiment: Analysts largely remain constructive: Needham, RBC, Citizens JMP, and others reaffirmed bullish ratings, with published price targets ranging from $385 to $519. Increased call-option activity also signals speculative bullish interest, though it is not a fundamental catalyst. Neutral Sentiment: MongoDB’s latest quarterly results exceeded expectations, with adjusted earnings of $1.90 per share versus a $1.62 consensus and revenue of $771.8 million versus $735.0 million expected. However, the stock remains about 7.1% below its level immediately after that report, as investors seek evidence that the longer-term targets can be delivered. Why Is MongoDB Down Since Last Earnings Report? Negative Sentiment: Desai’s sudden departure to lead Meta Platforms’ Enterprise Platform unit has raised concerns about execution, succession, and the loss of leadership during MongoDB’s AI expansion. The company must now conduct a CEO search, leaving investors focused on whether its strategy can continue without disruption. Do CEOs Matter? MongoDB Shareholders Are About to Find Out Negative Sentiment: Some firms reduced their targets despite retaining positive ratings, including Stifel at $385, Stephens at $372, and BMO at $420. MongoDB also trades at a demanding valuation, increasing sensitivity to any slowdown or disappointment in its ambitious growth plans. Wall Street Analysts Forecast Growth Several equities analysts recently weighed in on the stock. Wells Fargo & Company increased their price target on shares of MongoDB from $375.00 to $475.00 and gave the company an “overweight” rating in a research report on Tuesday, August 25th. Mizuho set a $460.00 target price on shares of MongoDB in a research note on Tuesday. Scotiabank reissued an “outperform” rating on shares of MongoDB in a research report on Wednesday, September 2nd. The Goldman Sachs Group increased their target price on shares of MongoDB from $453.00 to $520.00 and gave the company a “buy” rating in a research report on Wednesday, September 2nd. Finally, Rosenblatt Securities raised their price target on shares of MongoDB from $395.00 to $445.00 and gave the stock a “buy” rating in a research note on Wednesday, September 2nd. Two research analysts have rated the stock with a Strong Buy rating, twenty-eight have given a Buy rating and seven have given a Hold rating to the company’s stock. According to data from MarketBeat.com, the stock has an average rating of “Moderate Buy” and an average target price of $462.59.
View Our Latest Analysis on MongoDB MongoDB Trading Up 0.9% The firm has a fifty day moving average of $389.89 and a two-hundred day moving average of $333.01. The company has a market cap of $28.34 billion, a PE ratio of 495.39, a price-to-earnings-growth ratio of 37.45 and a beta of 1.75.
MongoDB (NASDAQ:MDB – Get Free Report) last released its quarterly earnings data on Tuesday, September 1st. The company reported $1.90 EPS for the quarter, beating the consensus estimate of $1.62 by $0.28. The business had revenue of $771.77 million for the quarter, compared to the consensus estimate of $735.01 million. MongoDB had a net margin of 2.12% and a return on equity of 1.06%. The company’s revenue was up 30.5% compared to the same quarter last year. During the same period in the prior year, the firm earned $1.00 earnings per share. MongoDB has set its Q3 2027 guidance at 1.570-1.610 EPS and its FY 2027 guidance at 6.390-6.580 EPS. Sell-side analysts expect that MongoDB, Inc. will post 0.47 EPS for the current fiscal year.
Insider Activity at MongoDB In related news, Director Dwight A. Merriman sold 6,000 shares of MongoDB stock in a transaction that occurred on Monday, August 17th. The shares were sold at an average price of $451.75, for a total value of $2,710,500.00. Following the completion of the transaction, the director directly owned 452,896 shares in the company, valued at approximately $204,595,768. The trade was a 1.31% decrease in their position. The transaction was disclosed in a filing with the Securities & Exchange Commission, which is accessible through this hyperlink. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Hope F. Cochran sold 1,000 shares of MongoDB stock in a transaction that occurred on Thursday, September 17th. The shares were sold at an average price of $375.92, for a total transaction of $375,920.00. Following the completion of the transaction, the director owned 28,326 shares of the company’s stock, valued at $10,648,309.92. This represents a 3.41% decrease in their ownership of the stock. The disclosure for this sale is available in the SEC filing. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. In the last three months, insiders sold 17,000 shares of company stock worth $7,792,320. Insiders own 2.60% of the company’s stock.
Hedge Funds Weigh In On MongoDB A number of large investors have recently made changes to their positions in MDB. Cassaday & Co Wealth Management LLC bought a new stake in shares of MongoDB during the 1st quarter valued at $34,000. Smallwood Wealth Investment Management LLC bought a new position in MongoDB in the 2nd quarter worth about $34,000. NBH Bank purchased a new position in MongoDB during the 2nd quarter valued at about $34,000. CX Institutional grew its holdings in MongoDB by 94.3% during the 2nd quarter. CX Institutional now owns 103 shares of the company’s stock valued at $35,000 after buying an additional 50 shares in the last quarter. Finally, Root Financial Partners LLC grew its holdings in MongoDB by 58.2% during the 4th quarter. Root Financial Partners LLC now owns 87 shares of the company’s stock valued at $37,000 after buying an additional 32 shares in the last quarter. 89.29% of the stock is owned by institutional investors.
About MongoDB (Get Free Report)
MongoDB, Inc develops and provides a general-purpose, document-oriented database platform. Its technology is designed to help organizations store, manage and analyze structured and unstructured data for applications such as artificial intelligence, analytics, mobile services, e-commerce and enterprise software.
The company’s principal offering is MongoDB Atlas, a fully managed cloud database service available across major cloud infrastructure providers. MongoDB also offers Enterprise Advanced, which provides commercial database software, security, operational controls and support for organizations running databases in their own environments or across hybrid and multicloud infrastructures.
Further Reading Five stocks we like better than MongoDB Everyone in AI Is Quietly Copying Palantir’s Playbook Advanced Micro Devices Is Spending $8.2 Billion to Learn What AI Needs Next JPMorgan Bets on Genius Sports as the Market Loses Patience Apple’s $5.7 Billion Patent Verdict Raises a Bigger Royalty Question Receive News & Ratings for MongoDB Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for MongoDB and related companies with MarketBeat.com's FREE daily email newsletter.
U.S. stocks settled mixed on Wednesday, with the Dow Jones index falling more than 400 points during the session following the release of PCE data.
The Dow Jones closed lower by around 444 points to 50,906.05 on Wednesday. The S&P 500 fell 0.25% to 7,651.54, while the Nasdaq Composite gained 0.24% at 26,861.06 during Wednesday’s session.
Wall Street analysts make new stock picks on a daily basis. Unfortunately for investors, not all analysts have particularly impressive track records at predicting market movements. Even when it comes to one single stock, analyst ratings and price targets can vary widely, leaving investors confused about which analyst’s opinion to trust.
Benzinga’s Analyst Ratings API is a collection of the highest-quality stock ratings curated by the Benzinga news desk via direct partnerships with major sell-side banks. Benzinga displays overnight ratings changes on a daily basis three hours prior to the U.S. equity market opening. Data specialists at investment dashboard provider Toggle.ai recently uncovered that the analyst insights Benzinga Pro subscribers and Benzinga readers regularly receive can successfully be used as trading indicators to outperform the stock market.
Top Analyst Picks: Fortunately, any Benzinga reader can access the latest analyst ratings on the Analyst Stock Ratings page. One of the ways traders can sort through Benzinga’s extensive database of analyst ratings is by analyst accuracy. Here’s a look at the most recent stock picks from each of the five most accurate Wall Street analysts, according to Benzinga Analyst Stock Ratings.
Analyst: Leo Mariani
Analyst Firm: Roth Capital Ratings Accuracy: 86% Latest Rating: Maintained a Buy rating on Sable Offshore Corp (NYSE:SOC) and cut the price target from $11 to $10 on Sept. 30. This analyst sees around 190% upside in the stock. Recent News: On Aug. 10, Sable Offshore reported worse-than-expected second-quarter financial results. Analyst: Sergey Glinyanov
Analyst Firm: Freedom Broker Ratings Accuracy: 81% Latest Rating: Initiated coverage on Matson Inc (NYSE:MATX) with a Buy rating and a price target of $260 on Sept. 30. This analyst sees around 15% upside in the stock. Recent News: On Aug. 3, Matson posted strong quarterly results. Analyst: Hames Khorsand
Analyst Firm: BWS Financial Ratings Accuracy: 77% Latest Rating: Maintained a Buy rating on John B Sanfilippo & Son Inc (NASDAQ:JBSS) with a price target of $109 on Sept. 30. This analyst sees around 64% gain in the stock. Recent News: On Aug. 19, John B. Sanfilippo & Son reported worse-than-expected fourth-quarter EPS results. Analyst: Karl Keirstead
Analyst Firm: UBS Ratings Accuracy: 75% Latest Rating: Maintained a Neutral rating on Mongodb Inc (NASDAQ:MDB) and cut the price target from $410 to $375 on Sept. 30. This analyst expects around 6% surge in the stock. Recent News: On Sept. 28, the company announced CEO Chirantan Desai has stepped down effective immediately to pursue a senior role at Meta Platforms. Analyst: Christopher Stathoulopoulos
Analyst Firm: Susquehanna Ratings Accuracy: 75% Latest Rating: Maintained a Positive rating on Carnival Corporation Ltd (NYSE:CCL) and raised the price target from $28 to $29 on Sept. 30. This analyst sees around 16% jump in the stock. Recent News: On Sept. 29, Carnival reported better-than-expected third-quarter financial results and raised its FY26 adjusted EPS guidance above estimates. Photo via Shutterstock
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It has been about a month since the last earnings report for MongoDB (MDB - Free Report) . Shares have lost about 7.1% in that time frame, underperforming the S&P 500.
Will the recent negative trend continue leading up to its next earnings release, or is MongoDB due for a breakout? Before we dive into how investors and analysts have reacted as of late, let's take a quick look at the most recent earnings report in order to get a better handle on the important catalysts.
MDB Q2 Earnings Beat Estimates on Atlas & EA Strength, Outlook RaisedMongoDB delivered second-quarter fiscal 2027 non-GAAP earnings of $1.90 per share, which rose 90% year over year and topped the Zacks Consensus Estimate by 18.75%.
Total revenues increased 30.5% year over year to $771.8 million and surpassed the consensus estimate by 5.2%. Results benefited from strength among large enterprise customers, solid Atlas consumption and broad Enterprise Advanced demand.
Total company net ARR expansion improved to 122% from 119% a year ago and 121% in the prior quarter.
MDB's Q2 Revenue Mix Reflects Broad StrengthSubscription revenues rose 30.5% year over year to $747.1 million, while services revenues increased 29.3% to $24.6 million. The subscription business remained the primary contributor to the top line.
Atlas-related revenues totaled $565.9 million, up 28.9% from $439.0 million a year ago. MongoDB Enterprise Advanced and other revenues reached $181.2 million, rising 35.9% from $133.4 million, reflecting broad strength across financial services, the public sector and technology.
MongoDB's Customer Metrics Keep ExpandingMongoDB ended the quarter with more than 70,600 customers, up from 59,900 a year ago, after adding approximately 2,900 customers sequentially. Atlas customers increased to more than 69,300 from 58,500 in the prior-year period.
Customers generating at least $100,000 in annual recurring revenues rose 17% year over year to 2,999. Among Atlas customers in this cohort, 48% used two or more platform features, up from 42%, driven largely by Vector Search and text search adoption. Remaining performance obligations climbed 91% to $1.52 billion.
MongoDB's Q2 Operating DetailsIn the fiscal second quarter, MongoDB’s non-GAAP gross profit increased to $585.7 million, with the non-GAAP gross margin expanding to 76% from 74% a year ago.
Subscription gross margin was 78.3%, up about 70 basis points, primarily reflecting the higher Enterprise Advanced revenue mix.
Non-GAAP sales and marketing expenses rose 6.9% year over year to $215.7 million. Research and development expenses increased 30.7% to $137.4 million, while general and administrative expenses advanced 9.6% to $46.7 million.
Non-GAAP income from operations rose to $185.9 million from $86.8 million. The corresponding operating margin expanded to 24% from 15%, underscoring stronger operating leverage alongside the quarter's revenue growth.
MongoDB's Balance Sheet & Cash FlowAs of July 31, 2026, MongoDB had cash, cash equivalents and short-term investments of $2.4 billion compared with $2.4 billion as of April 30, 2026.
During the quarter, the company allocated $100 million toward share repurchases and $59 million to settle taxes on employee restricted stock units.
Operating cash flow was $141.9 million in the fiscal second quarter compared with $201.6 million reported in the prior quarter.
Free cash flow during the quarter was $137.6 million compared with $197.5 million in the prior quarter.
MongoDB Raises Fiscal 2027 GuidanceFor the third quarter of fiscal 2027, MongoDB expects revenues of $756 million to $761 million. Non-GAAP income from operations is projected between $152 million and $156 million, while non-GAAP earnings are expected between $1.57 and $1.61 per share.
For fiscal 2027, revenues are now anticipated between $2.99 billion and $3.03 billion, up from the prior $2.92-$2.96 billion range. Non-GAAP earnings are projected between $6.39 and $6.58 per share compared with the previous $5.95-$6.14 range. Management now expects Atlas growth of approximately 27% and Enterprise Advanced and other revenue growth of about 11% for the year.
How Have Estimates Been Moving Since Then?It turns out, estimates revision have trended upward during the past month.
The consensus estimate has shifted 296.43% due to these changes.
VGM ScoresAt this time, MongoDB has a great Growth Score of A, a grade with the same score on the momentum front. However, the stock has a grade of F on the value side, putting it in the lowest quintile for this investment strategy.
Overall, the stock has an aggregate VGM Score of C. If you aren't focused on one strategy, this score is the one you should be interested in.
OutlookEstimates have been broadly trending upward for the stock, and the magnitude of these revisions looks promising. It comes with little surprise MongoDB has a Zacks Rank #1 (Strong Buy). We expect an above average return from the stock in the next few months.
Performance of an Industry PlayerMongoDB is part of the Zacks Internet - Software industry. Over the past month, Rubrik, Inc. (RBRK - Free Report) , a stock from the same industry, has gained 31.3%. The company reported its results for the quarter ended July 2026 more than a month ago.
Rubrik, Inc. reported revenues of $427.26 million in the last reported quarter, representing a year-over-year change of +37.9%. EPS of $0.20 for the same period compares with -$0.03 a year ago.
For the current quarter, Rubrik, Inc. is expected to post earnings of $0.09 per share, indicating a change of -10% from the year-ago quarter. The Zacks Consensus Estimate has changed -0.4% over the last 30 days.
The overall direction and magnitude of estimate revisions translate into a Zacks Rank #3 (Hold) for Rubrik, Inc.. Also, the stock has a VGM Score of C.
MongoDB (NASDAQ:MDB) used its 2026 Investor Day to outline a leadership transition, new AI-focused product launches and updated long-term financial targets, with executives emphasizing continued investment in enterprise sales, partnerships and application modernization.
Chief Financial Officer Mike Berry said former CEO CJ resigned last Friday to take a role at Meta, and the board named former longtime CEO Dev Ittycheria as interim president and CEO while it searches for a permanent successor. Berry said the company expects “business as usual” during the transition and described MongoDB as being supported by a broader management team rather than any one individual.
Ittycheria said the board has already begun its CEO search and that the company is seeking a leader with experience building software companies and understanding both technology and go-to-market execution. He said his immediate priorities are sustaining business momentum, sharpening product and sales execution, and supporting MongoDB’s culture. AI Strategy Centers on Data, Scale and Flexibility Ittycheria framed MongoDB’s strategy as an effort to become an “intelligent data platform,” arguing that AI and agentic applications need fresh operational data, precise retrieval, elastic scaling, state management and governance. He said AI represents a tailwind for the company because it can create more software workloads, introduce new workloads involving agents and memory, and expand MongoDB’s customer base among AI-native companies and frontier labs.
The company cited its JSON document model, retrieval capabilities, security tools and ability to run across cloud and self-managed environments as differentiators. Ittycheria said customers are increasingly selective about where AI workloads run because of intellectual-property protection, data residency and sovereignty concerns.
Ben Cefalo, MongoDB’s chief product officer for core products, said the company is continuing to invest in Enterprise Advanced, its self-managed offering, alongside the Atlas cloud service. He said customers in regulated industries and geographies with specific data requirements need deployment flexibility, while companies also want protection against dependence on a single environment.
Cefalo said MongoDB 9.0 delivers performance improvements including up to 20% higher transactional throughput, 35% faster reads, 30% faster updates and twice the throughput on larger instances. The release also expands the company’s Queryable Encryption capability, which allows customers to query encrypted data while retaining encryption of the data and query.
Atlas Infinite and Agent Engine Announced MongoDB also introduced Atlas Infinite, a new Atlas deployment option that separates compute from storage. Cefalo said the architecture is designed to handle bursty and unpredictable agent-driven workloads by allowing compute and storage to scale independently. Atlas Infinite is in public preview on AWS, according to management, while the existing Atlas offering is being renamed Atlas Core Database.
The company said Atlas Infinite has been in private preview with customers including Icon Solutions, PicPay and Carrier. Cefalo said the offering is intended to support elastic scaling, tunable performance and reduced capacity-planning complexity, though it is not a separate database requiring application code changes.
Pablo Stern-Plaza, chief product officer for AI and emerging products, announced Atlas Agent Engine, an agentic infrastructure product that combines persistent memory, security guardrails, governance and runtime capabilities. The offering is designed to work across clouds, models, frameworks and data sources, management said.
Stern-Plaza said Agent Engine is available to existing Atlas customers through public preview. He said the product can create monetization opportunities through agent runtime and memory services while also driving Atlas consumption. Management expects the product to become generally available later in the current fiscal year or early in the following year.
Citizens Bank SVP and Head of Data Platform Vikas Agarwal said the bank is using MongoDB Atlas for tier-one applications and is exploring multi-agent systems for platform resiliency and issue identification. He said the Agent Engine memory capabilities, flexible model choices and security features were particularly relevant for the bank’s use cases.
Go-to-Market and Partnership Investment Chief Revenue Officer Ryan Mac Ban said MongoDB plans to increase its focus on enterprise executive buyers, AI and digital-native customers, product specialization and application modernization. The company is also targeting growth in U.S. federal, Asia-Pacific and Japan markets, he said.
Mac Ban said MongoDB’s application modernization platform, combined with AI tooling and partners such as Cognition, is intended to reduce the cost and time required to migrate legacy Oracle, SQL and relational workloads. Ittycheria said advances in AI model capability have improved the viability of modernization initiatives that had previously been difficult because rewriting application logic was complex.
Chief Customer Officer Erica Volini said the company is expanding its partner ecosystem across coding agents, AI platforms, systems integrators, hyperscalers, neoclouds and independent software vendors. She said roughly half of MongoDB revenue is supported by a hyperscaler partner and marketplace revenue is growing faster than overall revenue year over year.
Updated Financial Targets Berry said MongoDB met or exceeded the commitments it outlined at its prior investor day. Atlas revenue grew about 29% in fiscal 2026, while the company’s fiscal 2027 guidance calls for approximately 27% Atlas growth. Enterprise Advanced and other revenue grew 7% in fiscal 2026, and the fiscal 2027 outlook implies 11% growth.
For the longer term, MongoDB shortened its target horizon from three-to-five years to three years and raised several growth objectives:
Total revenue growth of more than 20%. Atlas revenue growth in the mid-20% range. Enterprise Advanced and other ARR growth of more than 10%. Annual non-GAAP operating-margin expansion of 100 to 200 basis points. Free-cash-flow conversion of 80% to 100% of non-GAAP operating income. Berry said MongoDB expects to remain GAAP profitable beyond fiscal 2027 and aims to approach a Rule of 50 profile by the end of the three-year period, though he did not formally commit to that outcome. He also said the board approved an additional $1 billion for the company’s share-repurchase plan.
Management said AI-native and frontier-lab customers account for roughly 3% to 5% of Atlas revenue, but that revenue from the cohort grew 165% year over year. Berry said the company views the segment as small but rapidly expanding, while its larger enterprise customers continue to be a major source of expansion, cross-selling and new workload adoption.
About MongoDB (NASDAQ:MDB) MongoDB, Inc develops and provides a general-purpose, document-oriented database platform. Its technology is designed to help organizations store, manage and analyze structured and unstructured data for applications such as artificial intelligence, analytics, mobile services, e-commerce and enterprise software.
The company’s principal offering is MongoDB Atlas, a fully managed cloud database service available across major cloud infrastructure providers. MongoDB also offers Enterprise Advanced, which provides commercial database software, security, operational controls and support for organizations running databases in their own environments or across hybrid and multicloud infrastructures.
MongoDB, Inc. (NASDAQ:MDB – Get Free Report) was the recipient of some unusual options trading on Wednesday. Investors purchased 29,206 call options on the company. This represents an increase of approximately 40% compared to the typical daily volume of 20,822 call options.
Trending Headlines about MongoDB Here are the key news stories impacting MongoDB this week:
Positive Sentiment: MongoDB raised its fiscal 2028–2030 revenue-growth target to at least 20%, up from the high teens. Bank of America called the Investor Day a net positive and maintained its Buy rating, citing accelerating AI momentum and confidence in the company’s strategy. MongoDB has AI momentum on its side, BofA says following investor day Positive Sentiment: Management expects Atlas growth of roughly 25% over the next three years and outlined a path to GAAP profitability by fiscal 2027, alongside annual operating-margin expansion of 100–200 basis points. MongoDB guides for 25% Atlas growth over next three years Positive Sentiment: New products—including MongoDB 9.0, Atlas Infinite and Atlas Agent Engine—are aimed at AI workloads and unpredictable demand. MongoDB 9.0 offers higher throughput and faster reads and updates, while Atlas Infinite is designed to scale rapidly and Agent Engine combines retrieval, memory and governance for production AI agents. MongoDB launches MongoDB 9.0 and Atlas Infinite Positive Sentiment: Several analysts remain constructive: Citizens JMP, RBC and Needham reaffirmed positive ratings, with price targets ranging from $430 to $519. Unusually heavy call-option activity also suggests renewed speculative interest after the selloff. Neutral Sentiment: Analyst views were mixed on valuation and near-term execution. BMO and Stifel lowered their price targets while retaining Outperform or Buy ratings, and Stephens cut its target while maintaining Equal Weight. Negative Sentiment: CEO Chirantan “CJ” Desai’s immediate departure to join Meta remains the key risk, raising questions about leadership continuity and strategy execution. Former CEO Dev Ittycheria is serving as interim CEO while MongoDB searches for a permanent replacement, although the company reaffirmed its financial guidance. MongoDB is down after CEO Desai’s sudden exit MongoDB Stock Up 3.4% Shares of NASDAQ:MDB opened at $348.61 on Thursday. The business has a fifty day moving average of $388.84 and a two-hundred day moving average of $332.36. The stock has a market cap of $28.08 billion, a P/E ratio of 491.00, a PEG ratio of 36.22 and a beta of 1.58. MongoDB has a 52-week low of $215.68 and a 52-week high of $473.10.
MongoDB (NASDAQ:MDB – Get Free Report) last issued its earnings results on Tuesday, September 1st. The company reported $1.90 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $1.62 by $0.28. MongoDB had a return on equity of 1.06% and a net margin of 2.12%.The business had revenue of $771.77 million during the quarter, compared to the consensus estimate of $735.01 million. During the same period last year, the company earned $1.00 EPS. The company’s revenue for the quarter was up 30.5% on a year-over-year basis. MongoDB has set its Q3 2027 guidance at 1.570-1.610 EPS and its FY 2027 guidance at 6.390-6.580 EPS. On average, equities analysts anticipate that MongoDB will post 0.47 earnings per share for the current year. Insider Buying and Selling at MongoDB In other MongoDB news, Director Dwight A. Merriman sold 10,000 shares of the stock in a transaction that occurred on Friday, August 14th. The stock was sold at an average price of $470.59, for a total transaction of $4,705,900.00. Following the completion of the transaction, the director owned 962,953 shares of the company’s stock, valued at $453,156,052.27. This represents a 1.03% decrease in their ownership of the stock. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which is available through this hyperlink. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Hope F. Cochran sold 1,000 shares of the firm’s stock in a transaction that occurred on Thursday, September 17th. The shares were sold at an average price of $375.92, for a total value of $375,920.00. Following the completion of the transaction, the director owned 28,326 shares in the company, valued at approximately $10,648,309.92. This trade represents a 3.41% decrease in their position. Additional details regarding this sale are available in the official SEC disclosure. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Over the last ninety days, insiders have sold 17,000 shares of company stock worth $7,792,320. Insiders own 2.60% of the company’s stock.
Hedge Funds Weigh In On MongoDB Several institutional investors and hedge funds have recently bought and sold shares of the company. Arrowstreet Capital Limited Partnership increased its stake in MongoDB by 21.8% during the fourth quarter. Arrowstreet Capital Limited Partnership now owns 1,336,397 shares of the company’s stock worth $560,872,000 after acquiring an additional 239,338 shares during the last quarter. Capital World Investors lifted its stake in shares of MongoDB by 129.1% in the 4th quarter. Capital World Investors now owns 980,182 shares of the company’s stock valued at $411,373,000 after purchasing an additional 552,434 shares during the last quarter. Fred Alger Management LLC grew its holdings in shares of MongoDB by 7.3% during the 4th quarter. Fred Alger Management LLC now owns 561,614 shares of the company’s stock worth $235,704,000 after purchasing an additional 38,225 shares during the period. Bank of America Corp DE grew its holdings in shares of MongoDB by 0.3% during the 1st quarter. Bank of America Corp DE now owns 555,305 shares of the company’s stock worth $135,922,000 after purchasing an additional 1,852 shares during the period. Finally, Harel Insurance Investments & Financial Services Ltd. increased its position in shares of MongoDB by 55.0% during the 1st quarter. Harel Insurance Investments & Financial Services Ltd. now owns 549,970 shares of the company’s stock worth $134,616,000 after purchasing an additional 195,250 shares during the last quarter. 89.29% of the stock is currently owned by institutional investors and hedge funds.
Wall Street Analyst Weigh In Several research analysts recently commented on the company. Needham & Company LLC reissued a “buy” rating and issued a $430.00 price objective on shares of MongoDB in a research note on Wednesday. Weiss Ratings raised shares of MongoDB from a “sell (d-)” rating to a “hold (c-)” rating in a research note on Wednesday, September 2nd. Mizuho set a $460.00 target price on shares of MongoDB in a report on Tuesday. Sanford C. Bernstein upped their target price on shares of MongoDB from $449.00 to $484.00 and gave the stock an “outperform” rating in a report on Wednesday, September 2nd. Finally, Guggenheim reissued a “buy” rating and issued a $560.00 price target on shares of MongoDB in a research note on Tuesday. Two investment analysts have rated the stock with a Strong Buy rating, twenty-eight have given a Buy rating and seven have issued a Hold rating to the stock. Based on data from MarketBeat, the stock presently has an average rating of “Moderate Buy” and a consensus target price of $462.59.
Read Our Latest Analysis on MongoDB
About MongoDB (Get Free Report)
MongoDB, Inc develops and provides a general-purpose, document-oriented database platform. Its technology is designed to help organizations store, manage and analyze structured and unstructured data for applications such as artificial intelligence, analytics, mobile services, e-commerce and enterprise software.
The company’s principal offering is MongoDB Atlas, a fully managed cloud database service available across major cloud infrastructure providers. MongoDB also offers Enterprise Advanced, which provides commercial database software, security, operational controls and support for organizations running databases in their own environments or across hybrid and multicloud infrastructures.
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MongoDB Inc (NASDAQ:MDB) raised its long-term growth targets at its investor day, with Bank of America saying the event was a net positive and maintaining its Buy rating on the stock.
For fiscal 2028 to 2030, the database company now targets total revenue growth of 20% or more, up from the high teens. It lifted its Atlas growth target to the mid-20% range from 20% or more, and its Enterprise Advanced (EA) ARR growth target to 10% or more from low-to-mid single digits.
The company also kept its goal of 100 to 200 basis points of annual non-GAAP operating margin expansion.
The news caused MongoDB shares to claw back some of its earlier losses this week after a surprise CEO shakeup. Chirantan "CJ" Desai left to lead a new Meta division, while MongoDB appointed Dev Ittycheria interim CEO.
Shares were up 4.5% on Wednesday.
At the investor day, management tied the higher targets to identifiable drivers, including enterprise AI workloads, AI-native adoption, product innovation, application modernization and partnerships, the BofA analysts said in a note. They expect the new targets to push consensus growth and profitability forecasts higher, since current forecasts sit below the long-term goals.
The standout disclosure, according to BofA, was that AI-native customers now account for 3% to 5% of Atlas revenue. That revenue grew 165% year over year in the fiscal second quarter of 2027, accelerating from 129% growth in the same quarter a year earlier.
About 40% of Atlas annual recurring revenue now comes from customers with at least one AI use case, up from roughly 30% a year ago. The AI-native customer base has also grown to more than 2,200, an increase of over 500 from a year ago.
MongoDB also highlighted new and expanded offerings, including Atlas Agent Engine, which extends the company's role beyond the database and memory layer into agent deployment.
The firm said near-term execution remains a risk as the leadership transition unfolds, as does the question of whether growing AI adoption converts into large production deployments and meaningful Atlas revenue rather than staying in experimentation and pilot workloads.
Analyst’s Disclosure: I/we have a beneficial long position in the shares of META either through stock ownership, options, or other derivatives. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.
MongoDB Stock Drops 17% After CEO Exit—What Investors Should KnowMongoDB NASDAQ: MDB used its 2026 Investor Day to outline a leadership transition, new AI-focused product launches and updated long-term financial targets, with executives emphasizing continued investment in enterprise sales, partnerships and application modernization.
Chief Financial Officer Mike Berry said former CEO CJ resigned last Friday to take a role at Meta, and the board named former longtime CEO Dev Ittycheria as interim president and CEO while it searches for a permanent successor. Berry said the company expects “business as usual” during the transition and described MongoDB as being supported by a broader management team rather than any one individual.
Get MongoDB alerts:
MarketBeat Week in Review – 09/07 - 09/11Ittycheria said the board has already begun its CEO search and that the company is seeking a leader with experience building software companies and understanding both technology and go-to-market execution. He said his immediate priorities are sustaining business momentum, sharpening product and sales execution, and supporting MongoDB’s culture.
AI Strategy Centers on Data, Scale and Flexibility Ittycheria framed MongoDB’s strategy as an effort to become an “intelligent data platform,” arguing that AI and agentic applications need fresh operational data, precise retrieval, elastic scaling, state management and governance. He said AI represents a tailwind for the company because it can create more software workloads, introduce new workloads involving agents and memory, and expand MongoDB’s customer base among AI-native companies and frontier labs.
Could Snowflake's Big Quarter Be a Sign of More to Come?The company cited its JSON document model, retrieval capabilities, security tools and ability to run across cloud and self-managed environments as differentiators. Ittycheria said customers are increasingly selective about where AI workloads run because of intellectual-property protection, data residency and sovereignty concerns.
Ben Cefalo, MongoDB’s chief product officer for core products, said the company is continuing to invest in Enterprise Advanced, its self-managed offering, alongside the Atlas cloud service. He said customers in regulated industries and geographies with specific data requirements need deployment flexibility, while companies also want protection against dependence on a single environment.
Cefalo said MongoDB 9.0 delivers performance improvements including up to 20% higher transactional throughput, 35% faster reads, 30% faster updates and twice the throughput on larger instances. The release also expands the company’s Queryable Encryption capability, which allows customers to query encrypted data while retaining encryption of the data and query.
Atlas Infinite and Agent Engine Announced MongoDB also introduced Atlas Infinite, a new Atlas deployment option that separates compute from storage. Cefalo said the architecture is designed to handle bursty and unpredictable agent-driven workloads by allowing compute and storage to scale independently. Atlas Infinite is in public preview on AWS, according to management, while the existing Atlas offering is being renamed Atlas Core Database.
The company said Atlas Infinite has been in private preview with customers including Icon Solutions, PicPay and Carrier. Cefalo said the offering is intended to support elastic scaling, tunable performance and reduced capacity-planning complexity, though it is not a separate database requiring application code changes.
Pablo Stern-Plaza, chief product officer for AI and emerging products, announced Atlas Agent Engine, an agentic infrastructure product that combines persistent memory, security guardrails, governance and runtime capabilities. The offering is designed to work across clouds, models, frameworks and data sources, management said.
Stern-Plaza said Agent Engine is available to existing Atlas customers through public preview. He said the product can create monetization opportunities through agent runtime and memory services while also driving Atlas consumption. Management expects the product to become generally available later in the current fiscal year or early in the following year.
Citizens Bank SVP and Head of Data Platform Vikas Agarwal said the bank is using MongoDB Atlas for tier-one applications and is exploring multi-agent systems for platform resiliency and issue identification. He said the Agent Engine memory capabilities, flexible model choices and security features were particularly relevant for the bank’s use cases.
Go-to-Market and Partnership Investment Chief Revenue Officer Ryan Mac Ban said MongoDB plans to increase its focus on enterprise executive buyers, AI and digital-native customers, product specialization and application modernization. The company is also targeting growth in U.S. federal, Asia-Pacific and Japan markets, he said.
Mac Ban said MongoDB’s application modernization platform, combined with AI tooling and partners such as Cognition, is intended to reduce the cost and time required to migrate legacy Oracle, SQL and relational workloads. Ittycheria said advances in AI model capability have improved the viability of modernization initiatives that had previously been difficult because rewriting application logic was complex.
Chief Customer Officer Erica Volini said the company is expanding its partner ecosystem across coding agents, AI platforms, systems integrators, hyperscalers, neoclouds and independent software vendors. She said roughly half of MongoDB revenue is supported by a hyperscaler partner and marketplace revenue is growing faster than overall revenue year over year.
Updated Financial Targets Berry said MongoDB met or exceeded the commitments it outlined at its prior investor day. Atlas revenue grew about 29% in fiscal 2026, while the company’s fiscal 2027 guidance calls for approximately 27% Atlas growth. Enterprise Advanced and other revenue grew 7% in fiscal 2026, and the fiscal 2027 outlook implies 11% growth.
For the longer term, MongoDB shortened its target horizon from three-to-five years to three years and raised several growth objectives:
Total revenue growth of more than 20%. Atlas revenue growth in the mid-20% range. Enterprise Advanced and other ARR growth of more than 10%. Annual non-GAAP operating-margin expansion of 100 to 200 basis points. Free-cash-flow conversion of 80% to 100% of non-GAAP operating income. Berry said MongoDB expects to remain GAAP profitable beyond fiscal 2027 and aims to approach a Rule of 50 profile by the end of the three-year period, though he did not formally commit to that outcome. He also said the board approved an additional $1 billion for the company’s share-repurchase plan.
Management said AI-native and frontier-lab customers account for roughly 3% to 5% of Atlas revenue, but that revenue from the cohort grew 165% year over year. Berry said the company views the segment as small but rapidly expanding, while its larger enterprise customers continue to be a major source of expansion, cross-selling and new workload adoption.
About MongoDB (NASDAQ:MDB)MongoDB, Inc develops and provides a general-purpose, document-oriented database platform. Its technology is designed to help organizations store, manage and analyze structured and unstructured data for applications such as artificial intelligence, analytics, mobile services, e-commerce and enterprise software.
The company's principal offering is MongoDB Atlas, a fully managed cloud database service available across major cloud infrastructure providers. MongoDB also offers Enterprise Advanced, which provides commercial database software, security, operational controls and support for organizations running databases in their own environments or across hybrid and multicloud infrastructures.
This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest reporting and unbiased coverage. Please send any questions or comments about this story to [email protected].
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MongoDB, Inc. (MDB) Analyst/Investor Day September 29, 2026 11:00 AM EDT
Company Participants
Jess Lubert - Vice President of Investor Relations
Michael Berry - CFO & Principal Financial Officer
Dev Ittycheria - Interim President & CEO and Director
Benjamin Cefalo - Chief Product Officer of Core Products
Pablo Stern-Plaza - Chief Product Officer of AI & Emerging Products
Ryan Ban - Chief Revenue Officer
Erica Volini - Chief Customer Officer
Conference Call Participants
Keith Bachman - BMO Capital Markets Equity Research
Sanjit Singh - Morgan Stanley, Research Division
Rishi Jaluria - RBC Capital Markets, Research Division
Aleksandr Zukin - Wolfe Research, LLC
Vikas Agarwal
Madhav Jha
Jason Ader - William Blair & Company L.L.C., Research Division
Tyler Radke - Citigroup Inc., Research Division
Ryan MacWilliams - Wells Fargo Securities, LLC, Research Division
Sitikantha Panigrahi - Mizuho Securities USA LLC, Research Division
Ivan Feinseth - Tigress Financial Partners LLC, Research Division
Patrick Edwin Colville - Scotiabank Global Banking and Markets, Research Division
S. Kirk Materne - Evercore ISI Institutional Equities, Research Division
Raimo Lenschow - Barclays Bank PLC, Research Division
Matthew Martino - Goldman Sachs Group, Inc., Research Division
Steven Koenig - Macquarie Research
Ioannis Samoilis - Robert W. Baird & Co. Incorporated, Research Division
Conversation
Jess Lubert
Vice President of Investor Relations
Welcome to MongoDB's 2026 Investor Day. Thank you so much for joining us, whether you're here in person with us at the Nasdaq MarketSite or joining us online via the webcast. My name is Jess Lubert, Head of Investor Relations at MongoDB. We have a packed agenda. We're excited to talk about our market opportunity, some of our new innovations, hopefully, you read about earlier today as well as to provide you with the opportunity to hear directly from some of our senior leaders.
Before we get started, a few quick housekeeping items. We expect today's program to run about 4 hours, concluding around 3:15 p.m. We will have 2 breaks. We'll have a
MongoDB Interim President and CEO Dev Ittycheria discusses the outlook for the company after Meta Platforms tapped former CEO Chirantan “CJ” Desai to lead a new AI platform for enterprise customers. He speaks on "Bloomberg The Close.
Dev Ittycheria, MongoDB Interim President and CEO, joins 'Squawk on the Street' to discuss former CEO CJ Desai stepping down to join Meta Platforms as its chief enterprise platform officer, Investor Day, and more.
MongoDB, Inc. (NASDAQ:MDB) is trading lower on Tuesday. Yesterday, the shares fell by more than 18%. The move was triggered by the announcement that the CEO is leaving the company.
A powerful reversal took place. This is why MongoDB is the Stock of the Day.
• What’s going on with MDB shares now?
Successful traders understand how important trader psychology is when they analyze the markets. The emotions of traders and investors can have a significant impact on how a stock trades.
As you can see on the chart, yesterday’s low was at exactly $300.
There is no way finding support at this price can be explained or understood by using traditional financial metrics such as the PE or PB ratios.
This price action is the result of psychology. People like to place their orders at round levels.
There is another reason why there is support around the $300 level. It is also the result of psychology.
People who sold shares while the stock was at $300 in late May regretted their decision to sell when the price rallied. They experienced seller’s remorse.
Some vowed that if possible, they would repurchase the shares at the same price they sold for. When MongoDB dropped back to this level in late June, they placed buy orders.
These orders created support.
Then a similar dynamic took place. After the shares rallied, a number of people who sold at the bottom regretted it. When the stock fell back to $300 in late July, some of these regretful sellers entered the market as buyers, and their buying formed support.
Many newer traders think that stocks move because of fundamentals. This may be the case sometimes.
But many times, moves result from the psychology and emotions of the people doing the trading. MongoDB’s chart is a good illustration of this.
Photo: Shutterstock
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A surprise CEO departure sent MongoDB tumbling 25% in a month while its database rivals barely flinched, and now one major Wall Street bank sees a setup that could reward patient investors.
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MongoDB (NASDAQ:MDB | MDB Price Prediction) currently trades at $334.68, and the average analyst price target is $456.88. The stock is about 36.5% below where Wall Street thinks it belongs.
MongoDB sells a general-purpose database platform built on Atlas, its fully managed cloud database. Revenue rose 30.5% year over year last quarter to $771.77 million, beating consensus.
Citigroup’s Tyler Radke holds the Street-high $565 target, meaning roughly 68.8% upside.
A Surprise CEO Exit Hit MongoDB Weeks After It Beat and Raised Meta hired away CEO CJ Desai to lead its new Meta Enterprise Platform. MongoDB shares fell 18.46% in a single session. Former CEO Dev Ittycheria, who ran the company from 2014 to 2025, returned as interim CEO, and the board hired a search firm.
Shares were $446.62 a month ago, sliding to $410.44 before the announcement. The one-month decline stands at 25.06%, while the S&P 500 slipped only 0.49%.
Fundamentals held steady. MongoDB reaffirmed its Q3 and full-year guidance when announcing Desai’s exit. The market is pricing in leadership risk: two CEO changes in under a year and a search with no set end date.
Citi’s $565 Target Rests on Atlas, AI, and Margin Gains Analysts remain bullish because the business improves. Citi raised its target to $565 from $545 and reiterated its Buy rating after the latest beat-and-raise quarter. Its thesis: Atlas consumption is picking up, AI-native apps built with integrated Vector Search are expanding the addressable market, and operating leverage should grow as cloud usage outpaces sales and marketing spend.
Atlas revenue grew approximately 29% to $565.92 million and exceeded guidance by about 300 basis points. Remaining performance obligations jumped 91% to $1.52 billion. Non-GAAP operating margin reached 24%, up from 15% a year earlier.
Voyage customer count roughly doubled quarter over quarter for the second consecutive quarter. One frontier AI lab moved its chat memory to Atlas and got reads 10x faster than Postgres. Full-year guidance calls for $2.99 billion to $3.03 billion in revenue and non-GAAP EPS of $6.39 to $6.58.
The CEO who presented this plan has left. The Investor Day under interim leadership is the first test of whether the strategy holds.
MongoDB Fell Alone While Its Data Peers Held Firm Snowflake (NYSE:SNOW) gained 0.04% over the past month and trades at $328.05, against a $425.19 average target that meaning 29.6% upside. Among 51 analysts, 9 rate it Strong Buy, 35 Buy, 5 Hold, 1 Sell and 1 Strong Sell. That is less meaning upside than MongoDB’s.
Datadog (NASDAQ:DDOG) rose 13.39% over the month and trades at $268.70, against a $286.26 target that meaning just 6.5% upside. Of 46 analysts, 41 rate it Buy or Strong Buy. After a big run, Wall Street sees little room left.
Elastic (NYSE:ESTC) fell 11.98% over the month and trades at $87.96, against a $110.69 target that meaning 25.8% upside. Coverage is more divided, with 12 Holds among 31 analysts.
MongoDB has the largest implied upside in the group. A single event caused the gap, making it easier to judge than a sector-wide selloff.
A 20% Year-to-Date Loss While the S&P 500 Climbs At $334.68, MongoDB sits well below the $456.88 consensus target from 41 analysts. The ratings break down this way:
Strong Buy: 8 Buy: 24 Hold: 8 Strong Sell: 1 The stock is down 20.26% year to date, while the S&P 500 is up 12.26%. It trades at about 70x forward earnings, well under its 52-week high of $473.1.
Leadership Risk Is Priced In, but the Growth Engine Still Runs MongoDB looks constructive here if Investor Day and the CEO search point to continuity, with Atlas tracking its roughly 27% full-year growth guide and margins holding. In that case, execution closes the gap to consensus. The risks worth monitoring: the search drags on, other executives follow Desai out, or Atlas consumption weakens in the holiday-affected fourth quarter that management noted. At 70x forward earnings, the stock has little margin for a trip.
The setup leans constructive. Guidance is intact, the interim CEO ran the company for over a decade, and the business posted its fastest growth in years. The consensus target looks reachable.
Contact [email protected] for any questions or corrections.
MongoDB NASDAQ: MDB suffered a steep market drawdown after its CEO, CJ Desai, unexpectedly left for Meta Platforms NASDAQ: META. This exit creates a disconnect between MongoDB's executive volatility and its underlying operational stability.
Atlas Agent Engine unifies governance, memory, and retrieval, ending the choice between a stitched-together stack and being locked into one vendor's model and cloud
, /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB) today launched Atlas Agent Engine, a unified execution, memory, and governance layer for production AI agents, at its Investor Day at the Nasdaq MarketSite in New York City. While AI agents prove their value quickly in proof-of-concept testing, bringing them into production remains a major bottleneck. Doing so requires accurate retrieval, persistent memory, and enterprise-grade security and governance. Without a single platform, engineering teams must stitch together disparate tools that break every time underlying models or frameworks evolve. That's what Atlas Agent Engine is designed to solve for.
"Investigating unusual activity in our payment network today means our analysts stitching together data from multiple systems by hand, often under time pressure. We're excited about the potential for an intelligent agent, built on MongoDB's Atlas Agent Engine, to shrink the time between a problem emerging and our team acting on it, giving our analysts more time to focus on the judgment calls that matter most," said Amar Akshat, SVP of Architecture, Paysafe.
Atlas Agent Engine is available today in public preview. New and existing Atlas customers can get started at agentengine.mongodb.com.
Atlas Agent Engine gives teams a modular way to put agents into production. Retrieval is powered by MongoDB Voyage AI, whose embedding and reranking models rank among the top performers on RTEB, a benchmark built to reflect real enterprise retrieval instead of academic datasets. Customers can adopt the memory and governance layers independently or with the runtime, using existing models and frameworks they know. Atlas Agent Engine is available today in public preview, with consumption-based pricing for Atlas Agent Runtime and Atlas Agent Memory. Usage draws on customers' existing Atlas commitments, so adoption extends infrastructure already in place rather than requiring a new contract.
"Context is the critical success factor in successfully using agents for application development. Enterprises are currently struggling to assess, integrate and manage information across multiple systems to enable an ontology for autonomous agentic work." said James Governor, co-founder of RedMonk. "MongoDB Atlas Agent Engine is designed to bake governance into agentic app development with a single platform for memory and identity."
Atlas Agent Engine is built with the ecosystem enterprises already trust. Frontier Labs bring the best available models directly to where enterprise data already lives. System integrator partners bring the industry expertise and delivery experience customers rely on for agent deployments.
"Atlas Agent Engine brings the enterprise-ready capabilities, context, and constraints needed to help AI agents deliver real-world impact. Combined with Accenture's governance, architecture, and deep industry expertise, it creates a powerful foundation for accelerating AI transformation and delivering outcomes at scale. Our shared commitment to delivery and customer success makes this partnership particularly strong," said Ram Ramalingam, Global Lead, SW Engineering & Head of RDE Accenture.
Built to get agents into production
Enterprises building agents often run into the same three challenges: actions nobody can govern, agents that forget, and lock-in to a single model or framework. Atlas Agent Engine solves all three, grounded in the same operational platform that more than 70,000 customers already run on, with enterprises like Paysafe already building toward production.
"Organizations that want to put agents in production are being forced into a false tradeoff: either adopt one vendor's runtime and accept being locked into a model and cloud, or piece together a framework and manage governance and memory on their own," said Pablo Stern-Plaza, Chief Product Officer, AI and Emerging Products, MongoDB. "With the launch of Atlas Agent Engine, that false tradeoff ends today. Enterprises get the real-time context their agents need, with governance and security built in from the start, and the freedom to run any model, any framework, and on any cloud. We didn't want to ask customers to predict the future. We wanted to build something that works no matter what they choose."
Governed by default. Most platforms handle identity, audit, guardrails, and cost controls as separate systems teams have to stitch together themselves. Atlas Agent Engine puts it all behind one control plane: every action is logged against a real identity, human or agent, and governed by policy that can't be quietly switched off. Governance is built in, not bolted on after launch. So when someone asks what an agent did and who authorized it, the answer takes seconds, not weeks. And because governance, memory, and retrieval run as one system instead of stitched-together services, there's less to secure and fewer places for things to break.
Memory and retrieval built in. Without built-in memory, agents start every conversation from zero, and teams end up rebuilding memory infrastructure for every new agent. Atlas Agent Engine builds memory into the platform itself, using Voyage AI embeddings and MongoDB's native retrieval, so agents get more accurate while spending fewer tokens.
Open design. Standardizing on one model, cloud, or framework is one of the riskiest infrastructure bets a leader can make in a market that moves this fast. Atlas Agent Engine is neutral across AI models and frameworks. Because it's built on open standards like MCP and A2A, changing course later only takes a configuration change rather than an expensive rebuild. It will also run across any cloud, self-managed or even a laptop, so the same agent works everywhere without rebuilding cloud by cloud. Atlas Agent Engine adds governed execution, memory, and cost control on top of what teams already run, rather than asking them to replace it.
MongoDB is committed to giving customers the openness and security they need. We are joining the Linux Foundation's Open Secure AI Alliance and Agentic AI Foundation to drive open software and standards for secure, interoperable agents—so organizations can move agents into production with the flexibility and control to scale as their needs evolve.
Atlas Agent Engine, MongoDB 9.0, and Atlas Infinite, also announced today, build on each other: MongoDB 9.0 strengthens the foundation every MongoDB customer already runs on, Atlas Infinite removes the limits on how that foundation can scale, and Atlas Agent Engine puts AI agents to work on top of both, governed and grounded in real-time data. Together with Voyage AI's industry-leading embedding and retrieval models, already generally available, this extends MongoDB's intelligent data platform for the AI era. To learn more about all three new launches and everything else MongoDB announced at Investor Day, please visit https://www.mongodb.com/company/newsroom.
About MongoDB
MongoDB is the intelligent data platform for the AI era. Headquartered in New York, MongoDB helps organizations move faster, build smarter, and simplify complex architectures on a unified platform for operational data, search, real-time analytics, and AI-powered retrieval, coupled with MongoDB Voyage AI's industry-leading embedding and reranking models. The platform is available as a fully managed service with MongoDB Atlas or self-managed with MongoDB Enterprise Advanced or Community Edition. Millions of developers and more than 70,000 customers, including approximately 75% of the Fortune 100, rely on MongoDB for their most important customer-facing applications. To learn more, visit mongodb.com.
Forward-Looking Statements
This press release includes certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including new capabilities announced at MongoDB.local NYC Investor Day 2026. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "project," "will," "would" or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation, those more fully described in our filings with the Securities and Exchange Commission ("SEC"), including under the caption "Risk Factors" in our most recent Quarterly Report on Form 10-Q filed with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.
MongoDB 9.0, generally available today, delivers up to 2x higher throughput, 35% faster reads, and 30% faster updates
Atlas Infinite, now in Public Preview, is a new deployment option within Atlas built for extreme elasticity, absorbing unpredictable demand spikes in real time, cutting time to scale by more than 96%
, /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB) today announced MongoDB 9.0, the best version of MongoDB ever built, and Atlas Infinite, the largest architectural innovation to MongoDB Atlas since its inception in 2016, at its Investor Day at the Nasdaq MarketSite in New York City. MongoDB 9.0 is the next-generation engine underpinning MongoDB Atlas, the company's fully-managed cloud data platform, Enterprise Advanced, and Community Edition, delivering superior performance wherever a customer's data lives. Atlas Infinite extends that foundation with the elasticity modern applications and AI agents demand, making MongoDB the intelligent data platform for the AI era.
"Balancing MongoDB's data model flexibility with true elasticity has helped Okta avoid over-provisioning capacity," said Andrew Yu, VP of Engineering, Okta. "Atlas Infinite will help empower our teams to automatically scale with unpredictable authentication traffic in real time without paying for idle resources, improving efficiency across our identity platforms."
MongoDB 9.0 is generally available today, and Atlas Infinite is available in public preview. Teams can get started with Atlas for free at mongodb.com/atlas.
Enterprises face two distinct constraints as AI adoption increases: databases that cannot keep pace with rising performance and security requirements, and infrastructure that can't scale to match them. MongoDB already handles some of the industry's most demanding mission-critical workloads. 9.0 raises that bar again on performance and security. Atlas Infinite addresses the second constraint, scaling from prototype to petabyte on a single foundation, with no application changes needed to adopt. Both releases extend gains to the same real-time, mission-critical workloads that over 75% of Fortune 100 already run on MongoDB today.
"The growing use of AI agents is causing applications to use and store more data," said Ben Cefalo, Chief Product Officer, Core Products, MongoDB. "MongoDB 9.0 hardens the foundation that more than 70,000 customers already trust with extreme performance, making it significantly faster at scale for mission-critical transactional workloads and AI-powered applications. Meanwhile, Atlas Infinite delivers the elasticity, responsiveness, and accuracy that agentic workloads demand, so enterprises never have to stretch legacy architecture to keep up."
MongoDB 9.0: The Best Version of MongoDB Ever
Generally available today, MongoDB 9.0, the best-performing version of the world's most popular document database, strengthens the foundation customers already run on, with major gains in performance, security, and scalability.
Performance and scale. AI agents and modern applications increasingly generate more data and spikier, harder-to-predict traffic. That puts direct pressure on infrastructure costs and application responsiveness. Combined with the price-performance gains of Atlas Gen2 compute, MongoDB 9.0 delivers better performance at a better cost, with:
Up to 35% faster find-one queries Up to 30% faster update-one queries Up to 2x throughput on large instances Up to 20% higher throughput for transactional workloads *Benchmark data compared to MongoDB 8.0
Security. Regulated industries need to secure sensitive data without losing the ability to search and use it. MongoDB 9.0 expands industry-first Queryable Encryption with support for prefix, suffix, and substring searches on encrypted data, allowing organizations to query sensitive information without ever decrypting it. Expanded private networking capabilities make it easier to deploy MongoDB Atlas securely across complex enterprise environments.
Resilience and Observability. Traffic spikes and operational disruptions can take critical applications down at the worst possible moment. Intelligent Workload Management automatically protects database clusters when they are overloaded with requests and ensures short-running operations continue even when demand is unpredictable. Enhanced backup, restore, and recovery capabilities help organizations maintain application availability and speed recovery when disruptions occur. MongoDB 9.0 also expands observability with enhanced OpenTelemetry support, providing deeper visibility into application and database performance.
"At Coinbase, trading volume can spike in minutes, and our systems have to scale in real time, or customers feel it," said Krishnan Seshadrinathan, VP of Engineering at Coinbase. "Intelligent Workload Management gives us confidence that our clusters will stay responsive during peak trading windows."
Atlas Infinite: From prototype to petabyte
Development and demand keep accelerating, and AI agents are amplifying that trend. Traffic spikes without warning too, from a fintech transaction surge to a viral product launch. Atlas Infinite, now available in Public Preview, is MongoDB Atlas's largest architectural innovation ever. It separates compute from storage so each can scale independently, giving any workload, agentic or not, the elasticity, responsiveness, and retrieval accuracy they demand on real-time operational data.
Extreme elasticity, zero waste. Thousands of AI agents can flood an enterprise's system with reads and writes in an instant. Atlas Infinite absorbs these spikes with no guesswork, scaling on an organization's terms, when it needs more performance, not when it runs out of room. PicPay, a Brazilian fintech company, put that to the test, sustaining 4x its normal peak traffic for two hours on Atlas Infinite with zero failures.
"Atlas Infinite enables us to grow our data footprint with greater operational simplicity with its order-of-magnitude faster backups and decoupled storage architecture. For a platform that has to be ready for extreme traffic spikes, that's exactly the kind of scalability we need to handle more transactions, at greater speed," said Erick Schroder, Database Reliability Engineer at PicPay.
Peak performance. Internal tests using MongoDB 9.0 show Atlas Infinite provides 189% more throughput per dollar than Atlas Core. Icon Solutions is using those performance gains to drive growth, processing up to 55% more transactions per second on Atlas Infinite, with zero application changes.
MongoDB is renaming its current Atlas offering to Atlas Core. Atlas Core and Atlas Infinite are now two deployment options within the Atlas platform, and customers can use one or both depending on the types of workloads they're dealing with. Adopting Atlas Infinite requires no application code changes, no new system to learn, and no disruptive migration. It runs on the same drivers, APIs, and operational tooling Atlas customers already use today, with the same security posture, controls, and compliance certifications as Atlas Core. Atlas Infinite also introduces a new pricing model tied to actual compute and storage consumption, so customers pay for the capacity they use rather than the capacity they provision for peak demand.
Atlas Infinite is available now in Public Preview on AWS, with support for other cloud providers and Atlas for Government currently planned for the future. Log in or sign up for Atlas to try it. For a complete list of current Public Preview limitations, including cloud availability, see the Public Preview page here: https://www.mongodb.com/docs/atlas/infinite/atlas-infinite-landing/.
MongoDB 9.0, Atlas Infinite, and Atlas Agent Engine, also announced today, build on each other: MongoDB 9.0 strengthens the foundation every MongoDB customer already runs on, Atlas Infinite removes limits on how that foundation can scale, and Atlas Agent Engine puts AI agents to work on top of both, governed and grounded in real-time data. Together with Voyage AI's industry-leading embedding and retrieval models, already generally available, this extends MongoDB's intelligent data platform for the AI era. To learn more about all three new launches and everything else MongoDB announced at Investor Day, please visit https://www.mongodb.com/company/newsroom.
About MongoDB
MongoDB is the intelligent data platform for the AI era. Headquartered in New York, MongoDB helps organizations move faster, build smarter, and simplify complex architectures on a unified platform for operational data, search, real-time analytics, and AI-powered retrieval, coupled with MongoDB Voyage AI's industry-leading embedding and reranking models. The platform is available as a fully managed service with MongoDB Atlas or self-managed with MongoDB Enterprise Advanced or Community Edition. Millions of developers and more than 70,000 customers, including approximately 75% of the Fortune 100, rely on MongoDB for their most important customer-facing applications. To learn more, visit mongodb.com.
Forward-Looking Statements
This press release includes certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including new capabilities announced at MongoDB.local NYC Investor Day 2026. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "project," "will," "would" or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation, those more fully described in our filings with the Securities and Exchange Commission ("SEC"), including under the caption "Risk Factors" in our most recent Quarterly Report on Form 10-Q filed with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.
Devin for MongoDB Modernizations helps get customers off legacy infrastructure faster, so engineering teams spend less time maintaining old code and more time building on MongoDB Atlas
, /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB) and Cognition, the company behind Devin, the AI software engineer, today announced the launch of Devin for MongoDB Modernizations. Modernization is often a necessary first step for enterprises building AI-powered applications, but legacy infrastructure can hamper many modernization efforts because it is expensive to maintain and difficult to scale. This partnership connects Devin directly to MongoDB's Application Modernization Platform (AMP), meeting customers wherever they are on their modernization journey and accelerating their path onto MongoDB—the intelligent data platform for the AI era.
Devin connects directly to AMP's tooling, which moves and validates data into Atlas, giving joint customers a faster, more automated path from legacy code to production on Atlas. By using Devin and MongoDB together, customers can significantly reduce migration timelines and free up engineering teams to build on MongoDB Atlas, the company's multi-cloud intelligent data platform, instead of working around legacy code that was never designed for it.
"At Bilt, we used Devin to rebuild search and personalization on MongoDB, allowing members to use natural-language queries to discover businesses, services and experiences across our growing ecosystem," said Kosta Krauth, CTO, BILT. "During the final push, our engineering team averaged dozens of merged pull requests a day, while Devin's connection to Atlas's managed MCP service helped us keep testing moving just as quickly. We're excited to see Cognition and MongoDB make it easier to build more experiences like this."
When planning a migration, customers need to balance multiple workstreams: rewriting the business logic that ties code to old data, and moving that data itself. Devin for MongoDB Modernizations assigns each piece to what it does best—Devin handles the code, planning, and rewriting of business logic and data access layers case by case, while AMP's deterministic tooling moves and validates each record into MongoDB—and orchestrates the full process end to end, so customers experience one coordinated migration instead of a patchwork of scripts and manual handoffs. Engineering teams retain control over the decisions that require human judgment, like designing the target data model and sequencing the cutover, while Devin and AMP handle the rest. Teams not yet on MongoDB can get started with Atlas for free at mongodb.com/atlas.
Why Devin for MongoDB Modernizations
Legacy migrations to MongoDB rarely stall due to the new database. They stall due to the wiring around the legacy code. Untangling the thousands of queries, stored procedures, and data access layers takes judgment that no script can supply and is exactly the kind of work Devin is built for.
"Even the most ambitious engineering teams spend much of their capacity keeping legacy systems alive. Devin for MongoDB Modernizations solves that pain. Devin does the heavy lifting, rewriting code across the codebase, so customers reach production on MongoDB in weeks instead of years. Engineers can get back to building great software and solving hard problems," Scott Wu, Co-founder and CEO, Cognition.
The partnership with Cognition also strengthens AMP, which helps enterprises move onto MongoDB across four phases:
Understanding what a legacy infrastructure does and how to sequence its migration Transforming its code Migrating its data Verifying that the modernized application matches the original Devin's code transformation and agentic orchestration extend AMP's language coverage and lets its tools run with fewer manual handoffs between steps. In early joint testing, that shows up directly in the numbers - work that used to take five to six hours now takes just over an hour.
"Most enterprises know they need to modernize their legacy applications, but the cost, complexity, and sheer amount of code involved have forced them to do it one application at a time," said Dev Ittycheria, CEO of MongoDB. "AMP was built to change the economics of modernization by giving customers an automated path from legacy applications to MongoDB. By integrating Devin's code transformation and agentic capabilities into AMP, we can automate even more of that journey and dramatically expand the amount of an enterprise's application estate that can be modernized at once. The result is bigger than a faster migration. Customers can move decades of legacy applications onto MongoDB in months instead of years, giving them a modern data foundation built to run AI applications and agents in production on live operational data."
Devin for MongoDB Modernizations is available now to MongoDB and Cognition customers. To learn more or request an engagement, visit mongodb.com/company/partners/cognition.
About MongoDB
MongoDB is the intelligent data platform for the AI era. Headquartered in New York, MongoDB helps organizations move faster, build smarter, and simplify complex architectures with a unified platform for operational data, search, real-time analytics, and AI-powered retrieval, coupled with MongoDB Voyage AI's industry-leading embedding and reranking models. The platform is available as a fully managed service with MongoDB Atlas or self-managed with MongoDB Enterprise Advanced or Community Edition. Millions of developers and more than 70,000 customers, including approximately 75% of the Fortune 100, rely on MongoDB for their most important customer-facing applications. To learn more, visit mongodb.com.
About Cognition
Cognition is the leading AI software engineering company and makers of Devin, the world's first AI software engineer. Devin works end-to-end on complex engineering tasks — planning, coding, testing, and iterating autonomously — enabling teams to scale their engineering capacity without scaling headcount. Cognition has raised over $2B at a $48B valuation and partners with leading enterprises across financial services, technology, and beyond.
Shares of new-age database company MongoDB (MDB -18.46%) sank as much as 26.9% on Monday, before recovering to a 18.5% decline on the day.
Today, MongoDB's CEO, Chirantan "CJ" Desai, announced that he has left MongoDB to head the new Meta Enterprise Platform, which Meta Platforms (META -4.79%) also announced today.
It's pretty shocking to see a CEO who was just one year into his tenure leave for a large Magnificent Seven company where he won't be the CEO. Therefore, it's no surprise to see MongoDB falling in the news. But is the sell-off overdone?
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Desai departs, and Meta aims for the enterprise Today, Meta CEO Mark Zuckerberg announced the new enterprise venture in a news release, saying that the new platform will:
... use our strengths that few other companies have: advanced models, leading agents, large-scale infrastructure, and years of working closely with many businesses. Initially, we will focus on bringing our full technology stack, including the Muse agent, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers to help them grow.
It's unclear exactly which products Meta Enterprise will build or augment around Muse, the personal agent that Meta launched on Sept. 8. Meta's advertising empire serves many small businesses, which use its social media platforms to reach customers in highly targeted ways. It appears Meta may be looking to expand into building AI-powered business software for its advertisers, away from its traditional consumer focus.
In a statement, Desai said, "Our goal is to make Meta the place enterprises come to scale their businesses. I'm incredibly grateful for the opportunity and looking forward to working with our customers along this journey."
Fortunately for MongoDB, its ex-CEO, Dev Ittycheria, who served as CEO for 11 years between 2014 and 2025, has been an active Board member since his retirement last year. So, MongoDB will still be run by an experienced hand until the Board finds an appropriate successor.
Image source: Getty Images.
Will Meta compete with MongoDB? It's somewhat unclear what additional products Meta Enterprise will develop, and whether Meta will develop a competing database. MongoDB is a database software company, but Desai isn't necessarily an expert solely on databases. He also spent years working for Cloudflare and ServiceNow, whose portfolios span multiple enterprise software and infrastructure offerings. Therefore, Meta Enterprise may become a greater threat to small-business software companies. Of note, many SaaS companies are also down today on the news.
MongoDB will actually hold an Investor Day tomorrow. Interested investors should tune in to learn more about the path forward and how MongoDB aims to both capitalize on the opportunities and mitigate the threats posed by the AI era.
Billy Duberstein and/or his clients have positions in Meta Platforms and ServiceNow. The Motley Fool has positions in and recommends Cloudflare, Meta Platforms, MongoDB, and ServiceNow. The Motley Fool has a disclosure policy.
Comprehensive cross-platform coverage of the U.S. market close on Bloomberg Television, Bloomberg Radio, and YouTube with Romaine Bostick, Emily Graffeo, Carol Massar and Tim Stenovec. -------- More on Bloomberg Television and Markets Like this video?
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Meta poaches MongoDB chief to build its new enterprise biz. (0:14) Nvidia launches the largest stock buyback in U.S. history. (0:59) Treasury yields surge as the 10-year tops 5.25%. (2:10)
This is an abridged transcript of the podcast:
Our top story so far, MongoDB (MDB) shares are plunging more than 15% after CEO CJ Desai stepped down to lead Meta Platforms' (META) new enterprise platform.
Following the success of its recent Muse agent, along with its massive AI infrastructure buildout, Meta now plans to offer AI tools and software to enterprises.
Meta shares were down more than 4%.
Desai will serve as Meta's newly created Chief Enterprise Platform Officer and report directly to CEO Mark Zuckerberg.
Zuckerberg said: "Initially, we will focus on bringing our full technology stack, including the Muse agent, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers to help them grow."
MongoDB's board appointed Dev Ittycheria to serve as interim president and CEO.
Among other active stocks, Nvidia (NVDA) announced that its board of directors has increased the size of its buyback program by $150B, bringing total authorization to $235B, the largest in U.S. history.
Several major international banks have approached UBS (UBS) about a potential merger or other combination as Switzerland’s largest bank faces pressure from tougher capital requirements, according to Swiss newspaper Blick.
Interest from at least eight banks comes after Switzerland’s upper house backed stricter capital rules for UBS that could force it to hold roughly $18B in additional capital.
And Chipotle (CMG) is higher after announcing the limited return of its margarita. The restaurant chain said the "Summon the Spirits Tour" will offer $6 margaritas at one restaurant each weekend in October, stopping in Denver, New York, Dallas, Los Angeles and New Orleans as a lead-up to Boorito, Chipotle's national Halloween promotion.
For more on individual stocks, join our Head of Quant, Steven Cress, as he dissects the news from a quant perspective every morning around market open with Rena Sherbill on TikTok, X and YouTube @cresstopstocks
In today’s trading, rates continue to march higher, with the benchmark 10-year Treasury yield (US10Y) topping 5.25% for the first time since 2007.
The 2-year yield (US2Y) neared 4.95%, while the 30-year (US30Y) topped 5.55%.
Strategist Peter Schiff says at this rate “the yield will hit 6% by Nov. 5, just two days after the midterm elections. By then the interest rate on a 30-year mortgage will be over 8%. That'll be a major issue for voters.”
And in the Wall Street Research Corner, AI agents designed to maximize returns for consumers could pose an unexpected risk to the banking system by automatically moving deposits in search of higher yields, according to Apollo Chief Economist Torsten Slok.
Agentic AI assistants could soon sweep household cash out of traditional checking accounts and into alternatives offering yields of 3.3% to 5.0%, compared with a national average of just 0.1% for checking accounts, Slok said.
The potential problem is scale. If households increasingly delegate decisions about where to hold cash to AI agents programmed to seek the highest available return, banks could lose a significant portion of the low-cost deposits they rely on to fund lending.
U.S. stocks traded lower toward the end of trading, with the Nasdaq Composite falling more than 150 points on Monday.
The Dow traded down 0.50% to 51,571.80 while the NASDAQ dipped 0.63% to 26,897.56. The S&P 500 also fell, dropping, 0.57% to 7,699.44.
Leading and Lagging Sectors
Energy shares rose by 0.3% on Monday.
In trading on Monday, communication services stocks fell by 1.5%.
Top Headline
The Dallas Fed’s general business activity index for Texas manufacturing fell to 9.8 in September from 11.6 in the previous month.
Equities Trading UP
Knorex Ltd (NYSE:KNRX) shares shot up 301% to $1.22. KNOREX announced that it is pursuing a strategic carve-out of AscendX Media Technologies Pte. Ltd, its wholly owned publisher monetization subsidiary. Shares of Kodiak Sciences Inc (NASDAQ:KOD) got a boost, surging 185% to $92.20 after the company announced that the primary endpoints were met for Zenkuda and tabirafusp-ted in the Phase 3 DAYBREAK study in patients with wet age-related macular degeneration. AMC Entertainment Holdings Inc (NYSE:AMC) shares were also up, gaining 14% to $3.34 as investors continue to weigh a debt maturity extension and new alternative revenue streams. Equities Trading DOWN
Mongodb Inc (NASDAQ:MDB) shares dropped 17% to $339.65. The company announced CEO Chirantan Desai has stepped down effective immediately to pursue a senior role at Meta Platforms. Shares of Nu Holdings Ltd. (NYSE:NU) were down 9% to $12.37 after reports suggesting it is in discussions to acquire UK digital bank Monzo for as much as $13 billion in cash and stock. Masonglory Ltd (NASDAQ:MSGY) was down, falling 62% to $3.10. Masonglory announced a $1 million private placement of 667K Class A shares at $1.50 per share with Series A and Series B warrants. Commodities
In commodity news, oil traded down 0.1% to $92.39 while gold traded down 3.5% at $4,171.10.
Silver traded down 4.8% to $61.690 on Monday, while copper fell 1.8% to $6.6460.
Euro zone
European shares were mixed today. The eurozone’s STOXX 600 rose 0.01%, while Spain’s IBEX 35 Index fell 0.51%, London’s FTSE 100 fell 0.1%, Germany’s DAX declined 0.13%, while France’s CAC 40 rose 0.01%.
Asia Pacific Markets
Asian markets closed lower on Monday, with Japan’s Nikkei 225 dipping 0.73%, Hong Kong’s Hang Seng index gaining 0.54%, China’s SSE Composite Index tumbling 1.67% and India’s BSE Sensex falling 1.52%.
Economics
The Dallas Fed’s general business activity index for Texas manufacturing fell to 9.8 in September from 11.6 in the previous month.
Photo via Shutterstock
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Seth Fiegerman says Meta is moving aggressively into AI agents, with a new enterprise product that looks like a ‘Muse'-style assistant for workplace use. He notes that the company's push suggests the focus is shifting from building the underlying AI technology to packaging it into tools that connect with day-to-day work and personal applications.
Shares of MongoDB Inc (NASDAQ:MDB) fell more than 18% Monday morning after CEO Chirantan "CJ" Desai left to lead a new Meta Platforms Inc (NASDAQ:META, XETRA:FB2A, SIX:FB) business bringing its AI tools to corporate customers.
MongoDB appointed Dev Ittycheria interim CEO.
Desai will report directly to Meta CEO Mark Zuckerberg as chief enterprise platform officer, a newly created role. His mandate is to turn Meta's AI stack into products and services that companies can deploy for their own businesses.
Meta said Monday its new Meta Enterprise Platform would bring AI models, agents and tools to businesses, including the newly launched Muse, Meta Business Agent and coding tools.
Before joining MongoDB, Desai led product and engineering at Cloudflare and spent nearly eight years at ServiceNow Inc (NYSE:NOW, XETRA:4S0) (ServiceNow Inc (NYSE:NOW, XETRA:4S0), ServiceNow Inc (NYSE:NOW, XETRA:4S0)), including as president and chief operating officer.
MongoDB provides database software for building and running applications, with tools for data management, search, analytics, and AI. The company is searching for a permanent replacement for Desai, who had taken over the CEO role from Ittycheria.
As of 11:56 AM ET, the S&P 500 (^GSPC -0.49%) is down 0.78% to 7,684, the Nasdaq Composite (^IXIC -0.66%) has fallen 0.90% to 26,823, and the Dow Jones Industrial Average (^DJI -0.45%) is trading 0.72% lower at 51,465 as geopolitical tensions and rising energy costs weigh on risk appetite.
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Gold is down 3.83% to $4,122.91, and the 10-Year Treasury yield is up 8 basis points to 5.26%. Energy and consumer defensive stocks are the biggest gainers, with many sectors in the red. Consumer cyclicals and communication services fell the most.
Today's biggest movesNvidia Corporation is climbing after the chipmaker announced a massive $150 billion share buyback, while MongoDB, Inc. is cratering following the surprise departure of its CEO. President and CEO, Chirantan "CJ" Desai, is moving to Meta Platforms. Chipmakers, including Intel and Advanced Micro Devices, fell on artificial intelligence safety concerns.
What this means for investorsThe rejection of a U.S.-Iran truce proposal is weighing on sentiment today, as investors weighed continued disruption to oil supplies. Investors fled to defensive sectors as oil prices surged and hopes of an imminent reopening of the Strait of Hormuz faded again.
Treasury yields continued to rise, setting multi-year highs as geopolitical uncertainty and inflation fears contributed to a bond sell-off. There’s a lot of economic data coming this week, including inflation and jobless figures, which will be key for markets as they evaluate the economy.
Meanwhile, investors are bracing for a major shift in timing as the NYSE, Nasdaq, and the London Stock Exchange expand trading hours. It could fundamentally change liquidity and the way markets work, but there are regulatory and investor-protection risks to consider.
Emma Newbery has positions in Nvidia. The Motley Fool has positions in and recommends Advanced Micro Devices, Intel, Meta Platforms, MongoDB, and Nvidia. The Motley Fool has a disclosure policy.
Image Credits:Marcin Golba/NurPhoto / Getty Images Meta announced Monday that it’s launching “Meta Enterprise Platform,” a new initiative aimed at expanding the company’s AI offerings to businesses and corporate customers. The social media giant hired Chirantan “CJ” Desai, the CEO of database software giant MongoDB, to lead the new initiative.
The launch of the new business builds on the momentum of Muse, Meta’s personal AI assistant launched earlier this month that can perform tasks for users such as sending emails and booking travel.
Meta says it will focus on bringing its full technology stack, including Muse, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers.
“Over the coming years, AI will fundamentally redefine how organizations of all sizes innovate, grow, serve customers, and run business operations,” Desai said in a statement. “Meta has a unique role to play because it is bringing together advanced models and leading agents with a proven track record of helping millions of advertisers and hundreds of millions of businesses scale. Meta Enterprise Platform will focus on turning its AI stack into products and services that companies can deploy for their own businesses.”
The move could help Meta see a return on all the money it’s pouring into AI.
MongoDB’s shares dropped by more than 17% on the news of its CEO’s sudden departure. The database maker said it appointed Dev Ittycheria as interim chief executive, who previously served in the role, while the board searches for Desai’s permanent replacement.
Chirantan "CJ" Desai to Step Down as President and Chief Executive Officer
Dev Ittycheria Appointed Interim President and Chief Executive Officer
, /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB) today announced that Chirantan "CJ" Desai has stepped down as President and CEO of MongoDB, effective immediately. Desai is leaving to pursue a senior role at Meta Platforms, Inc.
The Board has appointed Dev Ittycheria as interim President and CEO, also effective immediately. Ittycheria served as President and CEO of MongoDB from 2014 to 2025, an eleven-year tenure. During his leadership, MongoDB grew from an early-stage disruptor into a global technology leader, scaling from approximately $35 million to more than $2.3 billion in annual revenue.
"MongoDB's business is strong, and there is no better person to take on the role of President and CEO in the interim than Dev Ittycheria," said Tom Killalea, Chairman of the Board of Directors. "He knows this company deeply, has remained an involved and active executive board member over the past year, and will step in immediately to ensure a seamless transition."
"I'm honored to step back into the President and CEO role at MongoDB," said Ittycheria. "I was privileged to lead the company for more than a decade and help build MongoDB into the global business it is today. I know the company, our people and our customers extremely well, and I have enormous confidence in the opportunity ahead. I look forward to working with our leadership team and thousands of talented employees around the world to move quickly, execute with focus, and continue delivering exceptional value to our customers."
The Board has initiated a search process to identify MongoDB's next permanent CEO and has retained an executive search firm to assist in that process.
The company remains confident in the outlook for the business and is reaffirming its guidance for Q3 and the full year fiscal 2027 provided on September 1st, 2026.
Investor Day
MongoDB will be hosting an Investor Day at Nasdaq MarketSite on Tuesday, September 29th from 11:00 am–3:15 pm ET. The MongoDB leadership team will share an in-depth look at our long-term strategy, market opportunities, and product innovation driving the future of developer data platforms and AI. We welcome you to join the live teleconference here.
About MongoDB
MongoDB is the intelligent data platform for the AI era. Headquartered in New York, MongoDB helps organizations move faster, build smarter, and simplify complex architectures on a unified platform for operational data, search, real-time analytics, and AI-powered retrieval, coupled with MongoDB Voyage AI's industry-leading embedding and reranking models. The platform is available as a fully managed service with MongoDB Atlas or self-managed with MongoDB Enterprise Advanced or Community Edition. Millions of developers and more than 70,000 customers, including approximately 75% of the Fortune 100, rely on MongoDB for their most important customer-facing applications. To learn more, visit mongodb.com.
Forward-Looking Statements
This press release includes certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements concerning the Company's leadership transition, the search for a permanent successor, the Company's business outlook and guidance reaffirmation, and the Investor Day.
These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "project," "will," "would" or the negative or plural of these words or similar expressions or variations.
These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved.
Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: our customers renewing their subscriptions with us and expanding their usage of software and related services; global political changes; the effects of the ongoing military conflicts between Russia and Ukraine and Israel and Hamas on our business and future operating results; economic downturns and/or the effects of rising interest rates, inflation and volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about our business and future operating results; liabilities, reputational harm or other adverse consequences resulting from use of AI in our product offerings and internal operations if they don't produce the desired benefits; our limited operating history; our history of losses; our potential failure to repurchase shares of our common stock at favorable prices, if at all; failure of our platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements; social, ethical and security issues relating to the use of new and evolving technologies, such as artificial intelligence, in our offerings or partnerships; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; the effects of social, ethical and regulatory issues relating to the use of new and evolving technologies, such as artificial intelligence, in our offerings or partnerships; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; our ability to manage leadership transitions; the ability of our executive leadership to drive innovation and execute at scale; and the price volatility of our common stock.
These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission ("SEC"), including under the caption "Risk Factors" in our Annual Report on Form 10-K for the fiscal year ended January 31, 2026 and our Quarterly Report on Form 10-Q for the quarter ended July 31, 2026. Additional information will be made available in our Quarterly Report on Form 10-Q for the quarter ended October 31, 2026, and other filings and reports that we may file from time to time with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.
Meta is creating an enterprise platform business that aims to make it easier for developers to use its products. CJ Desai, formerly of MongoDB, will head up the initiative.
MongoDB Inc. (NASDAQ:MDB) shares are slumping Monday. The company announced CEO Chirantan Desai has stepped down effective immediately to pursue a senior role at Meta Platforms. Here’s what you should know.
MongoDB stock is taking a breather. What’s next for MDB stock? MongoDB CEO Steps Down For a Role at MetaDesai’s exit as president and CEO takes effect right away, with the company confirming he’s headed to a senior position at Meta Platforms Inc (NASDAQ:META). Filling the gap, the board turned to a familiar face: Dev Ittycheria, who ran MongoDB for roughly 11 years before stepping away in 2025, is returning as interim president and CEO starting immediately.
Board Chairman Tom Killalea framed the choice as an easy one, noting Ittycheria’s deep familiarity with the business and his continued presence as an engaged board member over the past year, and said Ittycheria “will step in immediately to ensure a seamless transition.”
MongoDB Reaffirms Guidance Despite Leadership ChangeEven with the sudden change at the top, MongoDB pointed to a business it still views as fundamentally sound, sticking with the same third-quarter and full fiscal 2027 targets it laid out on September 1. The company maintained third-quarter adjusted earnings guidance of $1.57 to $1.61 per share, above the $1.54 analyst estimate, and sales guidance of $756 million to $761 million, above the approximate $745.38 million estimate.
For fiscal 2027, MongoDB kept its adjusted earnings guidance at $6.39 to $6.58 per share, above the $6.13 estimate, and sales guidance at $2.99 billion to $3.03 billion, above the roughly $2.95 billion estimate.
Investors will get a closer look at the company’s strategy soon, too. MongoDB has an Investor Day scheduled for Tuesday, September 29, running from 11 a.m. to 3:15 p.m. ET at Nasdaq MarketSite, where executives are expected to walk through where the business is headed long-term, including opportunities across developer data platforms and artificial intelligence.
MDB Shares Are SinkingMDB Price Action: MongoDB shares were down 19.44% at $330.65 at the time of publication on Monday, according to Benzinga Pro.
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MongoDB (MDB - Free Report) could be a solid addition to your portfolio given its recent upgrade to a Zacks Rank #1 (Strong Buy). This upgrade is essentially a reflection of an upward trend in earnings estimates -- one of the most powerful forces impacting stock prices.
The Zacks rating relies solely on a company's changing earnings picture. It tracks EPS estimates for the current and following years from the sell-side analysts covering the stock through a consensus measure -- the Zacks Consensus Estimate.
Individual investors often find it hard to make decisions based on rating upgrades by Wall Street analysts, since these are mostly driven by subjective factors that are hard to see and measure in real time. In these situations, the Zacks rating system comes in handy because of the power of a changing earnings picture in determining near-term stock price movements.
As such, the Zacks rating upgrade for MongoDB is essentially a positive comment on its earnings outlook that could have a favorable impact on its stock price.
Most Powerful Force Impacting Stock PricesThe change in a company's future earnings potential, as reflected in earnings estimate revisions, and the near-term price movement of its stock are proven to be strongly correlated. That's partly because of the influence of institutional investors that use earnings and earnings estimates for calculating the fair value of a company's shares. An increase or decrease in earnings estimates in their valuation models simply results in higher or lower fair value for a stock, and institutional investors typically buy or sell it. Their transaction of large amounts of shares then leads to price movement for the stock.
For MongoDB, rising earnings estimates and the consequent rating upgrade fundamentally mean an improvement in the company's underlying business. And investors' appreciation of this improving business trend should push the stock higher.
Harnessing the Power of Earnings Estimate RevisionsAs empirical research shows a strong correlation between trends in earnings estimate revisions and near-term stock movements, tracking such revisions for making an investment decision could be truly rewarding. Here is where the tried-and-tested Zacks Rank stock-rating system plays an important role, as it effectively harnesses the power of earnings estimate revisions.
The Zacks Rank stock-rating system, which uses four factors related to earnings estimates to classify stocks into five groups, ranging from Zacks Rank #1 (Strong Buy) to Zacks Rank #5 (Strong Sell), has an impressive externally-audited track record, with Zacks Rank #1 stocks generating an average annual return of +25% since 1988. You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here >>>> .
Earnings Estimate Revisions for MongoDBFor the fiscal year ending January 2027, this database platform is expected to earn $6.50 per share, which is unchanged compared with the year-ago reported number.
Analysts have been steadily raising their estimates for MongoDB. Over the past three months, the Zacks Consensus Estimate for the company has increased 1975.3%.
Bottom LineUnlike the overly optimistic Wall Street analysts whose rating systems tend to be weighted toward favorable recommendations, the Zacks rating system maintains an equal proportion of "buy" and "sell" ratings for its entire universe of more than 4,000 stocks at any point in time. Irrespective of market conditions, only the top 5% of the Zacks-covered stocks get a "Strong Buy" rating and the next 15% get a "Buy" rating. So, the placement of a stock in the top 20% of the Zacks-covered stocks indicates its superior earnings estimate revision feature, making it a solid candidate for producing market-beating returns in the near term.
You can learn more about the Zacks Rank here >>>
The upgrade of MongoDB to a Zacks Rank #1 positions it in the top 5% of the Zacks-covered stocks in terms of estimate revisions, implying that the stock might move higher in the near term.
MongoDB (MDB - Free Report) could be a solid addition to your portfolio given a notable revision in the company's earnings estimates. While the stock has been gaining lately, the trend might continue since its earnings outlook is still improving.
The upward trend in estimate revisions for this database platform reflects growing optimism of analysts on its earnings prospects, which should get reflected in its stock price. After all, empirical research shows a strong correlation between trends in earnings estimate revisions and near-term stock price movements. Our stock rating tool -- the Zacks Rank -- is principally built on this insight.
The five-grade Zacks Rank system, which ranges from a Zacks Rank #1 (Strong Buy) to a Zacks Rank #5 (Strong Sell), has an impressive externally-audited track record of outperformance, with Zacks #1 Ranked stocks generating an average annual return of +25% since 2008.
Consensus earnings estimates for the next quarter and full year have moved considerably higher for MongoDB, as there has been strong agreement among the covering analysts in raising estimates.
The chart below shows the evolution of forward 12-month Zacks Consensus EPS estimate:
12 Month EPS
Current-Quarter Estimate RevisionsThe company is expected to earn $1.60 per share for the current quarter, which represents a year-over-year change of +21.2%.
Over the last 30 days, the Zacks Consensus Estimate for MongoDB has increased 296.43% because seven estimates have moved higher while one has gone lower.
Current-Year Estimate RevisionsFor the full year, the company is expected to earn $6.50 per share, representing a year-over-year change of +30.8%.
In terms of estimate revisions, the trend for the current year also appears quite encouraging for MongoDB. Over the past month, 13 estimates have moved higher compared to no negative revisions, helping the consensus estimate increase 1668.75%.
Favorable Zacks RankOur research shows that stocks with Zacks Rank #1 (Strong Buy) and 2 (Buy) significantly outperform the S&P 500.
Bottom LineWhile strong estimate revisions for MongoDB have attracted decent investments and pushed the stock 5.6% higher over the past four weeks, further upside may still be left in the stock. So, you may consider adding it to your portfolio right away.
Hope F. Cochran, a Director at MongoDB, Inc. (MDB +0.53%), disclosed a sale of 1,000 shares of common stock on Sept. 17, 2026, according to a recent SEC Form 4 filing.
Transaction summaryMetricValueShares sold1,000Transaction value$375,920Post-transaction shares (directly held)28,326Post-transaction value~$11.14 millionTransaction value based on SEC Form 4 weighted average sale price ($375.92); post-transaction value based on Sept. 17, 2026, market close ($393.42).
Key questionsWhat was the execution context for this trade?
The transaction was executed through a Rule 10b5-1 trading plan, which allows insiders to establish a predetermined schedule for selling shares to manage personal financial planning and portfolio diversification.How does the current market price compare to the execution level?
The stock was priced at $407.30 as of the Sept. 21, 2026, market close, representing an 8% premium to the insider's sale price of $375.92.What is the director's remaining equity exposure?
Following the disposition, the director maintains a direct position of 28,326 shares in MongoDB, which represents approximately 0.0352% of the company's total shares outstanding.Company OverviewMetricValueShare Price (as of market close 2026-09-21)$407.30Market Capitalization$32.8 billionRevenue (TTM)$2.8 billionNet Income (TTM)$58.9 millionCompany SnapshotMongoDB provides a versatile database platform, including MongoDB Enterprise Advanced for enterprise deployments across cloud, on-premises, and hybrid environments, as well as MongoDB Atlas. This fully managed multi-cloud database-as-a-service solution generates substantial recurring revenue.The company operates a subscription-based business model with tiered offerings ranging from a free Community Server for developers to premium enterprise solutions, enabling scalable revenue generation across customer segments and deployment preferences.MongoDB serves a diverse customer base, including enterprise organizations, mid-market companies, and individual developers seeking modern database infrastructure, with particular strength in cloud-native and application development markets.
Premium Feature
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MongoDB is a leading global provider of database platform solutions with a market capitalization of $32 billion and TTM revenue of $2.8 billion, serving thousands of organizations worldwide. The company's differentiated approach combines a flexible document-oriented database architecture with comprehensive managed services, positioning it as a critical infrastructure provider in the modern application development ecosystem.
With 5,783 employees and a 25% one-year stock price appreciation, MongoDB demonstrates strong market demand for its cloud-native database solutions and enterprise data management capabilities.
What this transaction means for investorsThis sale shouldn't concern investors. It was executed under a Rule 10b5-1 plan that insiders use to avoid concerns of acting on non-public information about the company. Cochran still retains a substantial stake worth about $11 million in the stock following the transaction.
Importantly, MongoDB's growth has accelerated over the past year. In the July-ending fiscal quarter, revenue grew 30.5% year over year to $772 million, driven by the company's Enterprise Advanced segment. This compares to 24% growth reported in the same quarter a year ago.
Analysts expect earnings to grow by about 12% annually in the next few years, while the stock trades at 59 times this year's earnings estimate.
John Ballard has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends MongoDB. The Motley Fool has a disclosure policy.
Bank of America expects MongoDB Inc (NASDAQ:MDB)'s investor day on September 29 to provide a potential catalyst for the shares, with artificial intelligence (AI) adoption metrics and higher long-term targets among the key areas to watch.
The broker said quantitative evidence that AI is improving customer acquisition or consumption could strengthen the investment case, while updates on Model Context Protocol (MCP) adoption and stronger financial targets could support a higher valuation.
BofA maintained its 'Buy' rating and $540 price target, which implies about 40% upside, saying MongoDB trades at 8.6 times estimated 2027 enterprise value to revenue, a 43% discount to its established AI-beneficiary peer average of 15.2 times.
MongoDB has delivered sustained Atlas growth of 29% year on year over the past five quarters, while Enterprise Advanced (EA) is emerging as a second growth engine and profitability has continued to exceed expectations.
BofA said EA revenue could broaden MongoDB's customer footprint, with demand supported by data sovereignty, cloud capacity, governance and regulatory requirements.
EA annual recurring revenue grew about 11% in the second quarter of fiscal 2027, marking its third consecutive quarter of double-digit growth, while reported revenue increased 30.5% from a year earlier.
The broker said customers using both Atlas and EA generate above-average Atlas consumption growth, suggesting EA could support expansion while helping fund further investment.
BofA said AI consumption data would be the clearest potential upside catalyst, while growth in Voyage and Vector Search and adoption of MCP could provide additional evidence of AI-driven demand.
MongoDB added a record 2,900 customers in the second quarter, while Voyage customers roughly doubled sequentially and Vector Search adoption outpaced overall company growth, according to Bank of America.
The broker said higher three-to-five-year financial targets could further strengthen confidence in MongoDB's growth prospects, with current targets of high-teens revenue growth and operating margins above 20% appearing conservative against fiscal 2027 guidance.
SmartRent (NYSE:SMRT – Get Free Report) and MongoDB (NASDAQ:MDB – Get Free Report) are both technology companies, but which is the better investment? We will compare the two businesses based on the strength of their dividends, profitability, valuation, analyst recommendations, earnings, risk and institutional ownership.
Volatility and Risk SmartRent has a beta of 1.56, meaning that its stock price is 56% more volatile than the S&P 500. Comparatively, MongoDB has a beta of 1.58, meaning that its stock price is 58% more volatile than the S&P 500.
Profitability This table compares SmartRent and MongoDB’s net margins, return on equity and return on assets.
Net Margins Return on Equity Return on Assets SmartRent -12.97% -8.50% -6.27% MongoDB 2.12% 1.06% 0.84% Institutional and Insider Ownership 59.4% of SmartRent shares are held by institutional investors. Comparatively, 89.3% of MongoDB shares are held by institutional investors. 2.3% of SmartRent shares are held by insiders. Comparatively, 2.6% of MongoDB shares are held by insiders. Strong institutional ownership is an indication that hedge funds, endowments and large money managers believe a stock is poised for long-term growth. Earnings and Valuation This table compares SmartRent and MongoDB”s top-line revenue, earnings per share and valuation.
Gross Revenue Price/Sales Ratio Net Income Earnings Per Share Price/Earnings Ratio SmartRent $152.33 million 1.47 -$60.56 million ($0.10) -11.65 MongoDB $2.78 billion 11.10 -$71.15 million $0.71 540.23 SmartRent has higher earnings, but lower revenue than MongoDB. SmartRent is trading at a lower price-to-earnings ratio than MongoDB, indicating that it is currently the more affordable of the two stocks.
Analyst Ratings This is a summary of recent ratings for SmartRent and MongoDB, as reported by MarketBeat.com.
Sell Ratings Hold Ratings Buy Ratings Strong Buy Ratings Rating Score SmartRent 1 2 0 0 1.67 MongoDB 0 6 26 3 2.91 SmartRent presently has a consensus price target of $1.20, suggesting a potential upside of 3.00%. MongoDB has a consensus price target of $471.81, suggesting a potential upside of 23.01%. Given MongoDB’s stronger consensus rating and higher probable upside, analysts clearly believe MongoDB is more favorable than SmartRent.
Summary MongoDB beats SmartRent on 14 of the 15 factors compared between the two stocks.
About SmartRent (Get Free Report)
SmartRent, Inc., an enterprise software company, provides an integrated smart home operating system to residential property owners and operators, homebuilders, institutional home buyers, developers, and residents in the United States. The company’s products and solutions include smart apartments and homes, access control for buildings, common areas, and rental units, asset protection and monitoring, parking management, self-guided tours, and community and resident Wi-Fi. It also offers professional services to customers, which include training, installation, and support services. The company was founded in 2017 and is headquartered in Scottsdale, Arizona.
About MongoDB (Get Free Report)
MongoDB, Inc., together with its subsidiaries, provides general purpose database platform worldwide. The company provides MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB. It offers professional services comprising consulting and training. The company was formerly known as 10gen, Inc. and changed its name to MongoDB, Inc. in August 2013. MongoDB, Inc. was incorporated in 2007 and is headquartered in New York, New York.
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