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2026-07-23 17:52 2d ago
2026-07-23 12:41 2d ago
Datadog má 4 550 velkých zákazníků s ARR nad 100 000 USD
DDOG Datadog
FMP Stock News 78
Original source text
Key Takeaways Datadog ended Q1 2026 with about 4,550 customers generating more than $100,000 in ARR.56% of customers use four or more products, while 20% use eight or more, boosting lifetime value.More than 6,500 customers use AI integrations, representing roughly 80% of Datadog's ARR. Datadog’s (DDOG - Free Report) enterprise customer base is strengthening its long-term growth trajectory by driving higher recurring revenues and deeper platform adoption. The company ended the first quarter of 2026 with approximately 4,550 customers generating more than $100,000 in annual recurring revenues (ARR), up from 3,770 a year ago. These large customers now account for nearly 90% of total ARR, highlighting the growing contribution of enterprise clients to Datadog's business.

Management also noted several seven-figure and eight-figure customer wins across industries, with many organizations replacing multiple legacy monitoring tools and expanding deployments to 10-16 Datadog products. This trend is reflected in the company's strong cross-selling performance, as 56% of customers now use four or more products, while 20% use eight or more, supporting higher customer lifetime value and durable subscription revenues.

The rapid adoption of AI is creating another growth path, with more than 6,500 customers using one or more AI integrations, representing roughly 80% of ARR. Datadog further strengthened its enterprise proposition at DASH 2026 by introducing more than 100 new AI, observability and security capabilities, including expanded Bits AI functionality and Agent Observability, which should further deepen enterprise adoption and increase wallet share.

However, the company remains dependent on continued enterprise expansion and IT spending. A slowdown in customer spending, weaker macroeconomic conditions or intensifying competition could moderate ARR growth and limit future revenue expansion. Nevertheless, Datadog's expanding enterprise footprint, strong customer retention, continuous platform innovation and the Zacks Consensus Estimate for 26.62% revenue growth in 2026 indicate that its enterprise-led growth story remains firmly intact.

How Are Competitors Faring?Dynatrace (DT - Free Report) and Elastic (ESTC - Free Report) compete with Datadog in enterprise observability, where platform breadth, enterprise expansion and customer retention drive long-term growth.

Dynatrace challenges Datadog through unified AI-powered observability, deterministic AI and its DPS licensing model that drives broader adoption and consumption. The company reported a fourth-quarter fiscal 2026 NRR of 110%, with more than 75% of ARR on its DPS licensing model and strong cross-sell potential. Dynatrace targets enterprise consolidation, autonomous operations and cloud expansion, while Datadog currently outpaces it in enterprise customer growth and retention.

Elastic competes with Datadog by combining observability, security and AI on a unified platform emphasizing consolidation and context-aware AI. The company is expanding enterprise relationships through larger multiyear commitments, $1 million-plus deals and AI-driven observability. Elastic leverages search expertise and platform consolidation to win upsell opportunities, though Datadog maintains stronger enterprise expansion and higher retention metrics.

DDOG’s Share Price Performance, Valuation & EstimatesShares of DDOG have rallied 79.9% over the past six-month period, outperforming the Zacks Internet - Software industry’s decline of 4.8% and the Zacks broader Computer and Technology sector's growth of 12%.

DDOG’s Six-Month Price Performance
Image Source: Zacks Investment Research

From a valuation standpoint, DDOG stock is currently trading at a forward 12-month Price/Sales ratio of 18.16X compared with the industry’s 3.96X. DDOG has a Value Score of F.

DDOG’s Valuation
Image Source: Zacks Investment Research

The Zacks Consensus Estimate for 2026 earnings is pegged at $2.41 per share, unchanged over the past 30 days and indicating a 17.56% year-over-year increase.

Image Source: Zacks Investment Research

Datadog stock currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.
2026-07-23 03:26 3d ago
2026-07-22 21:40 3d ago
CTO společnosti Datadog prodal akcie za 11,5 milionu USD
DDOG Datadog
FMP Stock News 72
Original source text
Alexis Le-Quoc, co-founder and Chief Technology Officer of Datadog, Inc. (DDOG -3.47%), sold 43,224 shares of Class A Common Stock on July 20, 2026, for a total value of ~$11.5 million, according to an SEC Form 4 filing.

Transaction summaryMetricValueTransaction value$11.5 millionShares sold (direct)43,224Post-transaction shares (total)509,974Post-transaction shares (directly held)509,805Post-transaction shares (indirectly held)169Post-transaction value$134.23 millionTransaction value based on SEC Form 4 weighted average sale price ($265.23); post-transaction value based on July 20, 2026 market close ($263.20).

Key questionsWhat triggered this specific liquidation of equity?
The transaction was part of a structured divestment process governed by a Rule 10b5-1 trading plan adopted on June 13, 2025. This plan facilitated the automatic exercise of 43,224 options and their immediate sale on the open market, providing the executive with liquidity while maintaining a substantial long-term stake in Datadog.How does the current holding compare to historical equity awards?
While the sale involved ~43,000 shares, Alexis Le-Quoc continues to hold a significant portfolio of company equity. This includes 509,805 shares held directly and approximately 8.4 million derivative securities, including vested and unvested awards, held both directly and through the Alexis Le-Quoc Revocable Trust.How has the stock performed relative to the transaction price?
The disposition occurred at a weighted average price of $265.23, while the one-year total return for the stock stood at 81% as of the July 20, 2026 transaction date. Since the trade, the share price settled at $254.79 as of the July 21, 2026 market close.What is the impact on total ownership concentration?
The transaction resulted in an 8% reduction in direct holdings, leaving the insider with a total beneficial interest of 509,974 shares of Class A Common Stock. This remaining position, excluding derivatives, represents an insider ownership percentage of 0.14% and a market valuation of approximately $130 million based on recent trading levels.Company OverviewMetricValueShare Price (as of market close 2026-07-21)$254.79Market Capitalization$87.1 billionRevenue (TTM)$3.7 billionNet Income (TTM)$135.7 millionCompany SnapshotDatadog provides a comprehensive cloud-based Software-as-a-Service (SaaS) platform that delivers infrastructure monitoring, application performance management, log management, and security surveillance capabilities to enterprise customers globally.The company operates on a subscription-based business model, generating recurring revenue from customers who rely on its integrated monitoring and analytics solutions to maintain real-time visibility across their technology infrastructure.Datadog serves developers, IT operations teams, and business stakeholders across North America and internationally, with particular strength in enterprises requiring end-to-end observability and security monitoring solutions.Datadog has established itself as a leading provider of cloud-based observability and security solutions, with a market capitalization of $87.1 billion. The company's integrated platform approach — combining infrastructure monitoring, application performance tracking, log management, and security surveillance — provides a competitive advantage by delivering comprehensive visibility across complex technology environments.

With 8,100 employees and a strong presence in North America and international markets, Datadog continues to benefit from secular trends in cloud adoption and the increasing complexity of distributed systems requiring sophisticated monitoring solutions.

What this transaction means for investorsThe July 20 sale of over 40,000 Datadog shares by its co-founder and CTO Alexis Le-Quoc seems like a substantial disposition. Yet take into account that he retained over 500,000 directly-held shares post-transaction, and another 6.1 million Class B shares held indirectly via the Alexis Le-Quoc Revocable Trust, which can be converted into Class A, and the sale actually represents a small percentage of his equity stake.

In addition, this was a non-discretionary transaction executed as part of a pre-established Rule 10b5-1 plan. Such plans allow insiders to sell shares at predetermined times to avoid concerns of trading on non-public information. Consequently, Le-Quoc’s disposition does not appear to be a cause for investor concern.

Datadog shares are up thanks to strong business performance. In the first quarter, revenue reached $1 billion, representing outstanding 32% growth from the previous year. The company forecasted 2026 full-year sales to rise to $4.3 billion, a significant increase from 2025’s $3.4 billion.
2026-07-08 17:46 17d ago
2026-07-08 11:51 17d ago
Datadog v 1. čtvrtletí poprvé překonal miliardu USD tržeb
DDOG Datadog
FMP Stock News 78
Original source text
Key Takeaways Datadog topped $1 billion in quarterly revenues as first-quarter 2026 sales rose 32% year over year.DDOG unveiled 100 plus AI and security capabilities and acquired Adaptive ML to expand AI agents.Datadog forecasts 2026 revenues of $4.30-$4.34B despite margin, competition and macro risks. Datadog (DDOG - Free Report) shares have surged 88.7% year to date, comfortably outpacing the Zacks Computer and Technology sector's 14.8% growth and the Zacks Internet Software industry's 8% decline over the same stretch of trading.

The rally reflects growing investor confidence in Datadog's role as a core observability and security platform for enterprises navigating increasingly complex, AI-driven infrastructure. With first-quarter 2026 results confirming accelerating growth and management issuing upbeat forward guidance, the near-term setup still looks favorable for investors willing to ride out some volatility, even as rising costs and intensifying competition warrant a genuinely watchful eye.

DDOG Outperforms Sector, Peers YTD
Image Source: Zacks Investment Research

Catalysts Fuelling DDOG’s RallyDatadog's first-quarter 2026 results showed revenues climbing 32% year over year to $1,006 million, marking the company's first quarter above $1 billion and a sequential acceleration from 29% growth in the prior period. Customers with annual recurring revenues of $100,000 or more grew 21% year over year to about 4,550. Non-GAAP operating margin held at 22%, while free cash flow reached $289 million.

Momentum has continued into the current quarter. Last month, Datadog hosted its DASH 2026 conference, unveiling more than 100 new capabilities to help customers manage growing AI and security complexity, including expanded agentic tooling. On June 30, the company announced its acquisition of Adaptive ML, a startup building a Reinforcement Learning Operations platform, which will join Datadog AI Research to accelerate work on specialized AI agents trained on real-world observability signals. The company also achieved FedRAMP High certification during the quarter and launched GPU Monitoring to help customers better manage AI infrastructure spend.

Forward-Looking Guidance by DDOG Holds PromiseFor the second quarter of 2026, Datadog guided revenues between $1.07 billion and $1.08 billion, non-GAAP operating income to be $225-$235 million, and non-GAAP earnings per share between 57 cents and 59 cents.

The Zacks Consensus Estimate calls for 2026 revenues of $4.34 billion, up 26.62% year over year, with earnings pegged at $2.41 per share, up 17.56%, suggesting the current valuation gap is arguably well justified by Datadog's faster, AI-driven observability growth trajectory relative to the broader field.

For full-year 2026, management projected revenues between $4.30 billion and $4.34 billion, non-GAAP operating income to be $940-$980 million, and non-GAAP earnings per share between $2.36 and $2.44, underscoring continued confidence in sustained double-digit growth.

Headwinds Worth MonitoringDespite the strong trajectory, risks remain. GAAP operating margin was just 1% in the quarter, reflecting heavy stock-based compensation and continued R&D investment, including newly absorbed costs tied to the Adaptive ML deal. Continued reliance on large enterprise deals also introduces some lumpiness to quarterly bookings, and management has flagged macro uncertainty tied to trade policy and IT spending as ongoing watch items.

Valuation and Competitive LandscapeDatadog carries a Zacks Value Score of F, trading at a forward 12-month price-to-sales ratio of 19.2X, well above the industry median of 4.78X. That steep premium reflects Datadog's notably stronger growth profile relative to slower-growing peers, whose more modest multiples mirror decelerating or largely flat expansion.

DDOG’s P/S Valuation
Image Source: Zacks Investment Research

DDOG faces significant competition from the likes of International Business Machines (IBM - Free Report) , Cisco Systems (CSCO - Free Report) and Dynatrace Software (DT - Free Report) , among others. Cisco Systems has advanced 45.2%, while Dynatrace has gained 4.1% and International Business Machines has returned 3.4%, highlighting Datadog's clear outperformance against all three legacy and pure-play rivals alike.

Cisco Systems leans on its deep network-layer footprint and hardware relationships to push observability bundles into existing accounts, while Dynatrace differentiates through AI-driven causal analytics aimed squarely at large enterprise customers. International Business Machines folds observability into its broader hybrid-cloud and consulting stack, giving it reach but comparatively less focus. Datadog's unified platform keeps winning share, though Cisco Systems, Dynatrace, and International Business Machines each retain entrenched enterprise relationships that keep the observability and security market intensely contested heading into the second half of 2026.

ConclusionWith accelerating revenue growth, robust guidance and steady AI-driven innovation spanning GPU monitoring, agentic security tooling and the Adaptive ML acquisition, Datadog's growth story remains firmly intact. Despite thin GAAP margins and a crowded competitive field, the near-term outlook still tilts favorably enough for patient, growth-oriented investors to consider Datadog.

DDOG currently carries a Zacks Rank #2 (Buy) and a Growth Score of A, a favorable combination that offers a strong investment opportunity per the Zacks proprietary methodology. You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here.
2026-06-30 20:33 25d ago
2026-06-30 16:05 25d ago
Adaptive ML se připojí k AI laboratoři Datadogu
DDOG Datadog
FMP Stock News 86
Original source text
Adaptive ML will join Datadog’s AI lab to build frontier AI infrastructure to address cutting-edge research challenges within observability and security June 30, 2026 16:05 ET  | Source: Datadog, Inc.

NEW YORK, June 30, 2026 (GLOBE NEWSWIRE) -- Datadog, Inc. (NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced it has acquired Adaptive ML, a frontier AI startup developing the world's first Reinforcement Learning Operations (RLOps) platform, enabling enterprises to build, own, and deploy their own specialized agents and models.

Adaptive ML will join Datadog AI Research, accelerating Datadog’s investment and research efforts around world models and agentic LLM post-training for observability. Datadog AI Research focuses on fundamental technical problems and collaborates with Datadog's product and engineering teams to translate research advances into products.

“We started Adaptive to give every enterprise the ability to perpetually improve its own AI. The missing piece was never the algorithm, the hardest part was production scale. With Datadog, and the continuous stream of real-world signals that only a platform operating at this unique reach can provide, we will work directly from the foundation that intelligent agents need to drive exponential productivity gains, reliably and consistently. With Datadog’s unmatched access to real-world infrastructure, we can accelerate towards continuous intelligence,” said Julien Launay, co-founder and CEO, Adaptive ML.

“Our lab is focused on leveraging our data and domain expertise to build specialized agents and models, and to effectively turn our data into first-party intelligence. As we continue to bolster our R&D efforts and better serve our customers, bringing Adaptive ML on board is a natural fit to enhance and augment the work we are already doing within our lab,” said Ameet Talwalkar, Datadog's Chief Scientist.

As AI continues to intensify the level of complexity software systems are facing on a daily basis, Datadog has invested over $1B in R&D annually — significantly contributing to the end-to-end observability and security solutions it has delivered to customers. Recently, that includes research initiatives like Toto 2.0, as well as products like Bits Investigation, Bits Code, and Bits Security Analyst, which have already conducted hundreds of thousands of investigations on behalf of customers.

About Datadog
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.

Forward-Looking Statements
This press release may include 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 on the benefits of new products and features. 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. 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 those risks detailed under the caption “Risk Factors” and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on May 7, 2026, as well as future filings and reports by us. 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.

Contact

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