[url="]Cognyte Software Ltd.[/url] (NASDAQ: CGNT) (the âCompany,â âCognyte,â âwe,â âusâ and âourâ), a global leader in AI-powered investigat
C3.ai, Inc. (AI - Free Report) is one of the stocks most watched by Zacks.com visitors lately. So, it might be a good idea to review some of the factors that might affect the near-term performance of the stock.
Over the past month, shares of this company have returned +0.6%, compared to the Zacks S&P 500 composite's -0.4% change. During this period, the Zacks Computers - IT Services industry, which C3.ai falls in, has gained 4.6%. The key question now is: What could be the stock's future direction?
While media releases or rumors about a substantial change in a company's business prospects usually make its stock 'trending' and lead to an immediate price change, there are always some fundamental facts that eventually dominate the buy-and-hold decision-making.
Earnings Estimate RevisionsRather than focusing on anything else, we at Zacks prioritize evaluating the change in a company's earnings projection. This is because we believe the fair value for its stock is determined by the present value of its future stream of earnings.
Our analysis is essentially based on how sell-side analysts covering the stock are revising their earnings estimates to take the latest business trends into account. When earnings estimates for a company go up, the fair value for its stock goes up as well. And when a stock's fair value is higher than its current market price, investors tend to buy the stock, resulting in its price moving upward. Because of this, empirical studies indicate a strong correlation between trends in earnings estimate revisions and short-term stock price movements.
For the current quarter, C3.ai is expected to post a loss of $0.22 per share, indicating a change of +12% from the year-ago quarter. The Zacks Consensus Estimate remained unchanged over the last 30 days.
The consensus earnings estimate of -$0.82 for the current fiscal year indicates a year-over-year change of +39.3%. This estimate has remained unchanged over the last 30 days.
For the next fiscal year, the consensus earnings estimate of $0.49 indicates a change of +39.7% from what C3.ai is expected to report a year ago. Over the past month, the estimate has changed -2%.
Having a strong externally audited track record, our proprietary stock rating tool, the Zacks Rank, offers a more conclusive picture of a stock's price direction in the near term, since it effectively harnesses the power of earnings estimate revisions. Due to the size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, C3.ai is rated Zacks Rank #3 (Hold).
The chart below shows the evolution of the company's forward 12-month consensus EPS estimate:
12 Month EPS
Revenue Growth ForecastWhile earnings growth is arguably the most superior indicator of a company's financial health, nothing happens as such if a business isn't able to grow its revenues. After all, it's nearly impossible for a company to increase its earnings for an extended period without increasing its revenues. So, it's important to know a company's potential revenue growth.
In the case of C3.ai, the consensus sales estimate of $53.18 million for the current quarter points to a year-over-year change of -29.2%. The $222.61 million and $245.7 million estimates for the current and next fiscal years indicate changes of -11.1% and +10.4%, respectively.
Last Reported Results and Surprise HistoryC3.ai reported revenues of $52.38 million in the last reported quarter, representing a year-over-year change of -25.4%. EPS of -$0.2 for the same period compares with -$0.37 a year ago.
Compared to the Zacks Consensus Estimate of $51.46 million, the reported revenues represent a surprise of +1.79%. The EPS surprise was +23.08%.
Over the last four quarters, C3.ai surpassed consensus EPS estimates three times. The company topped consensus revenue estimates three times over this period.
ValuationWithout considering a stock's valuation, no investment decision can be efficient. In predicting a stock's future price performance, it's crucial to determine whether its current price correctly reflects the intrinsic value of the underlying business and the company's growth prospects.
Comparing the current value of a company's valuation multiples, such as its price-to-earnings (P/E), price-to-sales (P/S), and price-to-cash flow (P/CF), to its own historical values helps ascertain whether its stock is fairly valued, overvalued, or undervalued, whereas comparing the company relative to its peers on these parameters gives a good sense of how reasonable its stock price is.
As part of the Zacks Style Scores system, the Zacks Value Style Score (which evaluates both traditional and unconventional valuation metrics) organizes stocks into five groups ranging from A to F (A is better than B; B is better than C; and so on), making it helpful in identifying whether a stock is overvalued, rightly valued, or temporarily undervalued.
C3.ai is graded F on this front, indicating that it is trading at a premium to its peers. Click here to see the values of some of the valuation metrics that have driven this grade.
Bottom LineThe facts discussed here and much other information on Zacks.com might help determine whether or not it's worthwhile paying attention to the market buzz about C3.ai. However, its Zacks Rank #3 does suggest that it may perform in line with the broader market in the near term.
Everpure P has remained stable following the announcement last Friday that it will join the S&P 500 before the market opens on September 21. This addition highlights a significant achievement for the company, which has seen its revenue growth accelerate for eight consecutive quarters. This growth is driven by strong enterprise demand, increased market share, and the rising adoption of its Storage-as-a-Service offerings, with artificial intelligence (AI) and hyperscale solutions providing further opportunities.
S&P 500 Inclusion: Everpure will transition from the S&P MidCap 400, replacing The Trade Desk TTD in the S&P 500. This move is expected to trigger automatic buying from index-tracking funds and adds to a robust year for Everpure, with its stock rising nearly 50% year-to-date. Company Overview: Everpure offers a comprehensive storage and data management platform centered on flash technology. Their range of products includes traditional enterprise storage and high-performance AI workloads, all built on a unified software architecture designed for enhanced performance, density, reliability, and power efficiency. The company has also ventured into consumption-based storage with its Evergreen//One service, achieving an annualized total contract value (TCV) run rate exceeding $1 billion. Q2 Performance: In Q2 (July), Everpure surpassed expectations with a 37.7% year-over-year revenue increase to $1.19 billion and a 77% rise in adjusted operating income to $230 million. The company has raised its FY27 guidance, now anticipating revenue between $5.03 billion and $5.07 billion, up from a previous range of $4.41 billion to $4.51 billion, and adjusted operating income of $940 million to $960 million. Remaining performance obligations (RPO) grew 44% year-over-year to over $4.1 billion, ensuring strong future revenue visibility. The adjusted gross margin stood at 69.9%, with P strategically maintaining product gross margins at the lower end of its 65-70% range to focus on growth and market share amidst rising component costs. Growth Drivers: The Q2 growth was bolstered by increased pricing, a transition to higher-performance configurations, and enhanced capacity per system, which compensated for lower system volumes. The demand was widespread across all products, regions, and customer segments, with large enterprise interest remaining robust despite significant price hikes. AI Impact: The demand for Everpure's storage solutions is being further fueled by AI as customers develop more data-intensive infrastructures. The company is also expanding its partnerships with hyperscalers, recently securing a contract with a second top-five hyperscaler, which is expected to ramp up significantly in FY28. Everpure anticipates that its hyperscale business will make a more substantial contribution in the latter half of FY27. Everpure's inclusion in the S&P 500 signifies a pivotal moment for a company that is increasingly benefiting from the growing demands of AI and infrastructure modernization. The stock has performed well, driven by rising core enterprise demand, the adoption of Storage-as-a-Service, and emerging hyperscale opportunities. Although shares experienced a pullback after P's impressive Q2 results in late August—likely due to high expectations and concerns over short-term cash flow and product margins—these factors reflect strategic decisions to secure supply and prioritize growth. Everpure still anticipates positive free cash flow for FY27. The significant revision to its second-half outlook indicates resilient demand despite price increases, reinforcing confidence in its growth trajectory. The upcoming Financial Analyst Meeting on September 23 will provide further insights into the company's long-term strategy and financial outlook.
This stock alert was generated using automated technology and GuruFocus financial data to provide readers with timely and accurate market reporting. This content was reviewed by GuruFocus editorial team prior to publication. Please send any questions or comments about this story to [email protected].
Disclosures I/We may personally own shares in some of the companies mentioned above. However, those positions are not material to either the company or to my/our portfolios.
Artificial intelligence (AI) has created trillions of dollars' worth of value for some of America's largest organizations over the last few years, but not every company in this booming industry has been a winner. C3.ai (AI +0.48%) stock, for instance, is down 22% in 2026 (as of the market close last Friday, Sept. 4), as investors abandon ship over the company's declining revenue and steep losses.
Last September, C3.ai's founder, Thomas Siebel, stepped down from his role as CEO to focus on his health issues. Since he played a central role in the sales and customer relationship management processes, his departure led to a sharp decline in the company's revenue.
Fortunately, Siebel returned to lead C3.ai in May, and he is determined to get things back on track. Is it time for investors to start buying the stock?
Image source: Getty Images.
A shift from AI applications to critical AI platforms Developing AI software applications from scratch can be extremely expensive, and it requires specialized technical expertise. Not every business has those resources, so they rely on service providers like C3.ai that can deliver turnkey solutions. But C3.ai's business model is changing -- it still has a portfolio of ready-made AI apps, but it's also becoming a platform provider.
The company launched the C3 Agentic AI Platform late last year, which is effectively an intelligent operating system for businesses. It gains a deep understanding of every existing entity, process, relationship, and piece of data within the enterprise, facilitating the creation of powerful agents that can automate tasks and make key operational decisions (with human permission).
One of the newest tools on the C3 Agentic AI Platform is C3 Code, an advanced programming tool that can build software based on instructions provided in plain English. In other words, it gives enterprises the ability to build their own applications at a lightning-fast pace, even if they don't have a team of world-class engineers.
C3.ai's pivot to become a platform provider is very important, because enterprise AI requires a unified whole-of-business approach. Deploying just one application isn't enough for the average enterprise to stay ahead of their competitors anymore; AI needs to be at the core of every process to maximize productivity and value.
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C3.ai expects sales to sink further C3.ai generated $250.3 million in total revenue during its 2026 fiscal year (ended April 30), a 35% decline from the previous year. The company then generated $52.4 million in revenue during its fiscal 2027 first quarter (ended July 31), a 25% year-over-year decline.
These poor results were a direct consequence Siebel's brief departure, but now that he is back on board, C3.ai's performance is expected to improve. Management's latest forecast suggests the company could deliver up to $240 million in revenue during fiscal 2027 overall, representing a much narrower year-over-year decline of 4% from fiscal 2026. Moreover, Siebel believes a return to sales growth could happen within the next two quarters.
C3.ai has completely restructured its sales department and dramatically cut costs to support its turnaround, which were necessary steps to keep its bottom line in check after its net loss soared by 63% to $470.3 million during fiscal 2026. The company still lost $92.8 million during the fiscal 2027 first quarter, but that was a 20% reduction from the year-ago result.
Plus, C3.ai was modestly free cash-flow positive to the tune of $2.1 million during the first quarter, so the bottom line is certainly trending in the right direction.
A beaten-down stock isn't necessarily a cheap stock C3.ai stock currently trades at a price-to-sales (P/S) ratio of 6.5, which is a discount to its five-year average of 9.4. However, because the company's revenue is forecast to shrink during fiscal 2027, its forward P/S ratio is actually higher than its trailing P/S ratio.
AI PS Ratio data by YCharts
In other words, C3.ai is more expensive when valued against its future financial results than it is today, which is precisely why investors typically avoid buying into shrinking businesses -- they tend to destroy shareholder value over time. However, since Siebel believes C3.ai will return to sales growth on a quarterly basis soon, this particular case might be an exception.
During the first quarter, the company experienced a 73% quarter-over-quarter increase in its gross bookings, which usually represent the value of signed contracts for services that will be delivered in the future. Bookings are often a useful predictor of revenue, so Siebel's optimism might be warranted.
With that said, it might be a good idea for investors to wait until C3.ai's sales actually return to growth before buying its stock, in order to minimize potential risks.
Hyosung Chairman Cho Hyun-Joon targets U.S. AI power market with 22.9kV SST PR Newswire
SEOUL, South Korea, Sept. 7, 2026
World's first 22.9kV Solid State Transformer (SST) developed, securing a competitive edge with next-generation technology.Completed local production bases for transformers and breakers in the U.S., cementing its position in the American power equipment market., /PRNewswire/ -- With the advent of the artificial intelligence (AI) era, optimizing power supply networks has emerged as a critical global challenge. In the United States, the surge in power demand driven by the proliferation of AI and data centers, coupled with the need to replace aging grid infrastructure, is driving large-scale investment in power infrastructure.
Anticipating these transformative shifts in the power market, Hyosung Chairman Hyun-Joon Cho has spearheaded proactive investments to meet the demands of the AI and data center era. These investments are now supporting Hyosung Heavy Industries' efforts to strengthen its position in the U.S. AI and data center power market.
"Driven by the expansion of AI and data centers, power infrastructure has now become a core industry directly linked to national security," stated Chairman Cho. "Building on Hyosung Heavy Industries' U.S. manufacturing facilities and technological prowess, we must establish ourselves as an irreplaceable, essential long-term partner in stabilizing the American power grid."
Hyosung Heavy Industries plans to accelerate its push into the U.S. AI data center power market by combining next-generation grid technologies with its U.S. manufacturing base and established strengths in power equipment, including ultra-high-voltage transformers and circuit breakers.
Pioneering Next-Generation 22.9kV SST Technology
Hyosung Heavy Industries identified the Solid State Transformer (SST) as an indispensable technology for power transmission and distribution in the AI era, initiating preemptive research and development. In 2022, the company successfully developed the world's first 22.9kV 1.05MVA-class SST capable of direct connection to urban distribution networks. This milestone secured a competitive advantage in next-generation power conversion technology, strengthening the company's position as it moves to capture emerging market opportunities.
SST is a next-generation power system that utilizes power semiconductors to precisely control voltage and current while maintaining the insulation functions of conventional transformers. It is considered a field with high technological barriers to entry, demanding sophisticated power control capabilities. According to global market research firms, the global SST market is projected to grow at an average annual rate of more than 40%, supported by the modernization of power infrastructure. The large-capacity SST market for data centers handling high voltages of 22.9kV and above is in its nascent stages, with only a limited number of companies worldwide pursuing commercialization and demonstration projects. With the market still in its early stages, Hyosung Heavy Industries plans to accelerate its efforts to secure an early-mover position based on its advanced technology.
Expanding U.S. Manufacturing and Strategic Partnerships
Hyosung Heavy Industries is continuously expanding its ultra-high-voltage transformer production base. The company has invested a total of USD 300 million in the acquisition and expansion of its ultra-high-voltage transformer manufacturing facility in Memphis, Tennessee. Once the ongoing expansion is completed, the company will secure one of the largest ultra-high-voltage transformer production capacities in the United States.
Furthermore, Hyosung Heavy Industries has established a joint venture with Quanta Services, a leading North American energy infrastructure solutions company, to locally produce 72.5kV to 800kV ultra-high-voltage circuit breakers in Pennsylvania. Through this strategic move, Hyosung becomes the first Korean power equipment manufacturer to secure local production capabilities for both ultra-high-voltage transformers and circuit breakers in the U.S. market.
Quanta has an extensive business presence and customer network across the United States, providing infrastructure solutions for large-scale power demand facilities.
By leveraging Quanta's industry-leading infrastructure solutions and Hyosung's world-class technological expertise, the company aims to strengthen its competitive edge. Hyosung Heavy Industries aims to establish itself as a key player in the data center power infrastructure market by integrating its accumulated technological prowess, its robust U.S. local production base, and next-generation power grid technologies such as SST, Energy Storage Systems (ESS), STATCOM, and High Voltage Direct Current (HVDC) systems.
Website: https://www.hyosung.com/en/
View original content to download multimedia:https://www.prnewswire.com/news-releases/hyosung-chairman-cho-hyun-joon-targets-us-ai-power-market-with-22-9kv-sst-302871204.html
SOURCE HYOSUNG CORPORATION; Hyosung Heavy Industries
UNDP and NEC Sign Memorandum of Understanding on the Use of AI and Other Digital Technologies to Realize a Nature-Positive Society
TOKYO, Sept 7, 2026 - (JCN Newswire) - The United Nations Development Programme (UNDP) and NEC Corporation (NEC) have signed a Memorandum of Understanding (MOU) to promote the conservation of natural capital and responses to climate change through the use of artificial intelligence (AI) and other digital technologies.
This MOU promotes cooperation toward the conservation and restoration of the natural environment and the realization of sustainable local communities by combining UNDP's knowledge and networks in development assistance around the world with NEC's advanced digital technologies, including AI.
In addition to addressing environmental challenges through the use of digital technologies, the parties will also advance assessments and studies aimed at enhancing the resilience of AI and digital infrastructure, as well as local communities, through the use of environmental data.
The two organizations will cooperate in the following areas:
Creation and dissemination of knowledge for assessing and improving the resilience of AI and other digital technologies, digital infrastructure, and local communities based on environmental data.
Examination of and cooperation on the use of digital solutions that support nature-positive and climate-resilient development.
Examination of approaches toward realizing sustainable and resilient international supply chains for Japanese companies, including NEC, through collaboration with local communities.
Joint dissemination of information to promote the use of digital technologies that contribute to biodiversity conservation and climate change measures.
Continuous dialogue and cooperation to create new opportunities for collaboration and advance joint initiatives.
As an initial area of cooperation under this MOU, the two organizations will jointly prepare and disseminate a white paper to assess, based on environmental data, the resilience of AI and digital infrastructure such as data centers, as well as supply chains and surrounding local communities, and to contribute to improving such resilience.
In addition, they will discuss possible forms of collaboration through workshops on data-driven agriculture using CropScope to support climate change adaptation for coffee farmers in Ethiopia. As these initiatives progress, the two organizations will continue to explore new areas of cooperation.
Through this MOU, UNDP and NEC will promote the conservation of natural capital, including biodiversity, and responses to climate change while appropriately and effectively utilizing AI and other digital technologies, thereby contributing to the sustainable development of nature and society.
Marcos Neto, UN Assistant Secretary-General and Director of UNDP's Bureau for Policy and Programme Support
"Artificial intelligence can help address climate and environmental challenges, but developing countries need support to use it sustainably. By combining the United Nations Development Programme's expertise and country presence with NEC Corporation's technology, this partnership will bring solutions closer to communities and scale local impact."
Shinichiro Ide, Corporate SVP, CBXO and Head of the Business Process Transformation Unit, NEC Corporation
"We are very pleased to have entered into this Memorandum of Understanding with UNDP.
AI has tremendous power to collect and process vast amounts of sophisticated information and support human decision-making and action. While NEC has incorporated this potential into management transformation and business operations, we have also accumulated knowledge relating to the evaluation of and decision-making on resilience through the use of environmental data, based on many years of environmental management and practical experience as a business enterprise. We are also taking on the challenge of analyzing complex factors based on the natural environment and social characteristics that differ from region to region, enabling people to make data-driven decisions that contribute to improving the resilience of businesses and local communities. By combining UNDP's knowledge and networks with NEC's practical expertise, technologies, and business foundation, we will create new value and contribute to realizing a sustainable, nature-positive, and climate-resilient society."
About the Related Webinar
As part of the initiatives under this MOU, NEC and the International Institute for Socio-Economic Studies (IISE), an independent think tank of the NEC Group, will hold an online webinar with the cooperation of UNDP.
The webinar will invite Mozaic Earth and LandPrint, award-winning and finalist companies in the "Nature Intelligence for Business Grand Challenge," jointly organized by UNDP, the Taskforce on Nature-related Financial Disclosures (TNFD), and Conservation X Labs. The webinar will introduce the latest initiatives that utilize environmental data, satellite data, and AI to translate nature-related risks and opportunities in agricultural and forestry supply chains into business and investment decisions. It will also discuss the potential for utilizing nature-related data in management decision-making for corporate sustainability, TNFD, procurement, and finance professionals, as well as financial institutions and researchers.
- Date and Time: Thursday, 10 September 2026, 9:00-10:30 (tentative)
- Format: Zoom Webinar (Online)
- Participation Fee: Free
- Organizer: International Institute for Socio-Economic Studies (IISE)
- Cooperation: UNDP
- Planned Speakers: UNDP, NEC, Mozaic Earth, LandPrint, IISE (Moderator)
- Details and Registration: new window https://note.com/nec_iise/n/nd93aa28e5c53 (Japanese text)
Please note that the webinar content, speakers, and schedule are subject to change.
About NEC
The NEC Group leverages technology to create social value and promote a more sustainable world where everyone has the chance to reach their full potential. NEC Corporation was established in 1899. Today, the NEC Group's approximately 110,000 employees utilize world-leading AI, security, and communications technologies to solve the most pressing needs of customers and society.
For more information, please visit https://www.nec.com,
Source: NEC Corporation
Copyright 2026 JCN Newswire . All rights reserved.
Disclosures I/we have no positions in any stocks mentioned, and have no plans to buy any new positions in the stocks mentioned within the next 72 hours.
C3.ai is upgraded to Buy, citing early signs of recovery under founder Thomas Siebel's renewed leadership. Q1 bookings surged over 70% sequentially, reflecting successful sales team restructuring and renewed customer momentum. AI's holistic enterprise AI stack and $650M cash position provide strategic flexibility and operational runway.
C3.ai, Inc. is undergoing a turnaround led by returning CEO Thomas Siebel, focusing on execution and restructuring sales strategies. Q1 2027 showed progress: bookings up 73% QoQ, federal bookings up 138% YoY, and positive free cash flow of $2.1 million. Non-GAAP gross margin improved to 50% and operating expenses fell sharply after a 40% headcount reduction, but revenue remains down YoY.
C3.Ai Inc. (NYSE:AI) is trending Thursday after the company reported first-quarter results Wednesday after market close.
C3.ai stock is trading near recent lows. Where are AI shares going? Narrowed Q1 Loss and Stabilized RevenueC3.ai reported an adjusted loss of 20 cents per share, beating the consensus estimate of a loss of 25 cents. In addition, the company reported revenue of $52.375 million, beating the consensus estimate of $52.116 million.
Subscription revenue came in at $49.2 million, representing 94% of total revenue. Cash, cash equivalents and marketable securities totaled $651.1 million, up $76 million quarter-over-quarter.
“The Company has done exactly what a disciplined, focused turnaround should do. We restructured Sales. We aligned cash outflows with cash inflows. We instituted rigorous expense control,” said Thomas M. Siebel, Chairman and CEO of C3.Ai. “Revenue has stabilized, free cash flow is positive, operating loss has narrowed, and Forrester Research named C3 AI a leader in Enterprise AI.”
Q2, FY27 GuidanceC3.Ai sees second-quarter sales of $51.000 million to $55.000 million, versus the consensus estimate of $56.604 million. The company affirmed its fiscal-year 2027 sales outlook of $210.000 million to $240.000 million, versus the consensus estimate of $224.275 million.
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C3.Ai Shares Trade FlatAI Price Action: At the time of publication, C3.Ai shares are trading 0.67% lower at $10.45, according to data from Benzinga Pro.
This illustration was generated using artificial intelligence via Midjourney.
This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
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REDWOOD CITY, Calif.--(BUSINESS WIRE)--C3.ai, Inc. (“C3 AI,” “C3,” or the “Company”) (NYSE: AI), the Enterprise AI application software company, today announced financial results for its fiscal first quarter ended July 31, 2026.
“Revenue was $52.4 million, on plan. Free cash flow was positive $2.1 million. Non-GAAP operating loss was $36.2 million, a 33% improvement QoQ. Bookings increased 73% QoQ. Cash balance was $651.1 million, up $76 million QoQ. The Company has done exactly what a disciplined, focused turnaround should do. We restructured Sales. We aligned cash outflows with cash inflows. We instituted rigorous expense control. We installed experienced leadership across the board, and we implemented rigorous management discipline across every line of business.
Revenue has stabilized, free cash flow is positive, operating loss has narrowed, and Forrester Research named C3 AI a leader in Enterprise AI. The plan is working, we are on track with laser-like management discipline to grow revenue, generate cash, attain non-GAAP profitability, maintain technology leadership, and increase customer satisfaction,” said Thomas M. Siebel, Chairman and Chief Executive Officer, C3 AI.
The Company closed 22 agreements including with Heidelberg Materials, Ford Motor Company, Johnson & Johnson, Holcim, Seaspan, the U.S. Department of Agriculture, the Defense Logistics Agency, the U.S. Department of War and the U.S. Marine Corps, among others.
Fiscal First Quarter 2027 Financial Highlights:
Total Revenue was $52.4 million. Subscription Revenue was $49.2 million. Subscription revenue constituted 94% of total revenue. GAAP gross profit was $16.7 million, representing a 32% gross margin. Non-GAAP gross profit was $26.1 million, representing a 50% non-GAAP gross margin. GAAP net loss per share was $(0.60). Non-GAAP net loss per share was $(0.20). Net cash provided by operating activities was $2.1 million. Free Cash Flow was $2.1 million. Cash, cash equivalents, and marketable securities was $651.1 million. Financial Outlook:
The Company’s guidance includes GAAP and non-GAAP financial measures.
The following table summarizes C3 AI’s guidance for the second quarter of fiscal 2027 and full-year fiscal 2027:
(in millions)
Second Quarter Fiscal 2027
Guidance
Full Year Fiscal 2027
Guidance
Total revenue
$51.0 - $55.0
$210.0 - $240.0
Non-GAAP loss from operations
$(34.5) - $(42.5)
$(123.0) - $(155.0)
A reconciliation of non-GAAP guidance measures to corresponding GAAP measures is not available on a forward-looking basis without unreasonable effort due to the uncertainty regarding, and the potential variability of, expenses that may be incurred in the future. Stock-based compensation expense-related charges, including employer payroll tax-related items on employee stock transactions, are impacted by the timing of employee stock transactions, the future fair market value of our common stock, and our future hiring and retention needs, all of which are difficult to predict and subject to constant change. We have provided a reconciliation of GAAP to non-GAAP financial measures in the financial statement tables for our historical non-GAAP results included in this press release. Our fiscal year ends April 30, and numbers are rounded for presentation purposes.
https://edge.media-server.com/mmc/p/5jt6k675/ (live and replay)
Statement Regarding Use of Non-GAAP Financial Measures
The Company reports the following non-GAAP financial measures, which have not been prepared in accordance with generally accepted accounting principles in the United States (“GAAP”), in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP.
Non-GAAP gross profit, non-GAAP gross margin, non-GAAP loss from operations, non-GAAP net loss, non-GAAP net loss per share and non-GAAP expenses. Our non-GAAP gross profit, non-GAAP gross margin, non-GAAP loss from operations, non-GAAP net loss, non-GAAP net loss per share and non-GAAP expenses excludes the effect of restructuring expenses, stock-based compensation expense-related charges and employer payroll tax expense related to employee stock-based compensation. We believe the presentation of operating results that exclude these items provides useful supplemental information to investors and facilitates the analysis of our operating results and comparison of operating results across reporting periods. Free cash flow. We believe free cash flow, a non-GAAP financial measure, is useful in evaluating liquidity and provides information to management and investors about our ability to fund future operating needs and strategic initiatives. We calculate free cash flow as net cash provided by (used in) operating activities less purchases of property and equipment and capitalized software development costs. This non-GAAP financial measure may be different than similarly titled measures used by other companies. Additionally, the utility of free cash flow is further limited as it does not represent the total increase or decrease in our cash balances for a given period. We use these non-GAAP financial measures internally for financial and operational decision-making purposes and as a means to evaluate period-to-period comparisons. Non-GAAP financial measures are not meant to be considered in isolation or as a substitute for comparable GAAP financial measures and should be read only in conjunction with our condensed consolidated financial statements prepared in accordance with GAAP. Our presentation of non-GAAP financial measures may not be comparable to similar measures used by other companies. We encourage investors to carefully consider our results under GAAP, as well as our supplemental non-GAAP information and the reconciliation between these presentations, to more fully understand our business. Please see the tables included at the end of this release and in our press release dated June 3, 2026 for the reconciliation of GAAP to non-GAAP financial measures.
Other Information
Professional Services Revenue
Our professional services revenue includes service fees and prioritized engineering services. Service fees include revenue from services such as consulting, training, and paid implementation services.
Prioritized engineering services are undertaken when a customer requests that we accelerate the design, development, and delivery of software features and functions that are planned in our future product roadmap. When we agree to this, we negotiate an agreed upon fee to accelerate the development of the software. When the software feature is delivered, it becomes integrated to our core product offering, is available to all subscribers of the underlying software product, and enhances the operation of that product going forward. Such prioritized engineering services result in production-level computer software – compiled code that enhances the functionality of our production products – which is available for our customers to use over the life of their software licenses. Per Accounting Standards Codification (ASC) 606, Prioritized engineering services revenue is recognized as professional services over the period in which the software development is completed.
Total professional services revenue consists of:
Three Months Ended July 31,
2026
2025
(in thousands)
Prioritized engineering services
$
1,760
$
8,663
Service fees
1,446
1,297
Total professional services revenue
$
3,206
$
9,960
Use of Forward-Looking Statements
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. The words “anticipate,” “believe,” “continue,” “estimate,” “expect,” “intend,” “may,” “on track,” “positioned,” “will” and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these words. Forward-looking statements in this press release include, but are not limited to, statements regarding our restructuring plan and the reorganization of our sales, services, and products organizations, our market leadership position, anticipated benefits from our partnerships, our financial outlook for the second quarter of fiscal 2027 and full 2027 fiscal year, our ability to successfully implement a turnaround in our business, our ability to grow revenue, generate cash, attain Non-GAAP profitability, maintain technology leadership, and increase customer satisfaction, our sales and customer opportunity pipeline, including continued growth in the Federal market, the expected benefits of our offerings, and our business strategies, plans, and objectives for future operations. We have based these forward-looking statements largely on our current expectations and projections about future events and trends that we believe may affect our financial condition, results of operations, business strategy, short-term and long-term business operations and objectives, and financial needs. These forward-looking statements are subject to a number of risks and uncertainties, including our history of losses and ability to achieve and maintain profitability in the future, our historic dependence on a limited number of existing customers that account for a substantial portion of our revenue, our ability to attract new customers and retain existing customers, the ability of our restructured global sales and services organization to achieve desired productivity levels in a reasonable period of time, the impact of return of Tom Siebel as our Chief Executive Officer, and our ability to retain key members of our senior management, market awareness and acceptance of enterprise AI solutions in general and our products in particular, the length and unpredictability of our sales cycles and the time and expense required for our sales efforts. Some of these risks are described in greater detail in our filings with the Securities and Exchange Commission, including our Annual Report on Form 10-K for the fiscal year ended April 30, 2026, and other filings and reports we make with the Securities and Exchange Commission from time to time, including our Quarterly Report on Form 10-Q that will be filed for the fiscal quarter ended July 31, 2026, although new and unanticipated risks may arise. The future events and trends discussed in this press release may not occur and actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. Although we believe that the expectations reflected in the forward-looking statements are reasonable, we cannot guarantee future results, levels of activity, performance, achievements, or events and circumstances reflected in the forward-looking statements will occur. Except to the extent required by law, we do not undertake to update any of these forward-looking statements after the date of this press release to conform these statements to actual results or revised expectations.
About C3.ai, Inc.
C3.ai, Inc. (NYSE:AI) is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.
C3.AI, INC. CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS
(In thousands, except per share data)
(Unaudited)
Three Months Ended July 31,
2026
2025
Revenue
Subscription
$
49,169
$
60,301
Professional services
3,206
9,960
Total revenue
52,375
70,261
Cost of revenue
Subscription
34,720
41,481
Professional services
986
2,336
Total cost of revenue
35,706
43,817
Gross profit
16,669
26,444
Operating expenses
Sales and marketing
41,611
62,513
Research and development
46,549
64,651
General and administrative
26,079
24,099
Restructuring
698
—
Total operating expenses
114,937
151,263
Loss from operations
(98,268
)
(124,819
)
Interest income
5,957
8,218
Other (expense) income, net
(338
)
132
Loss before provision for income taxes
(92,649
)
(116,469
)
Provision for income taxes
163
300
Net loss
$
(92,812
)
$
(116,769
)
Net loss per share attributable to Class A and Class B common stockholders, basic and diluted
$
(0.60
)
$
(0.86
)
Weighted-average shares used in computing net loss per share attributable to Class A and Class B common stockholders, basic and diluted
154,999
135,375
C3.AI, INC.
CONDENSED CONSOLIDATED BALANCE SHEETS
(In thousands, except for share and per share data)
(Unaudited)
July 31, 2026
April 30, 2026
Assets
Current assets
Cash and cash equivalents
$
136,435
$
66,197
Marketable securities
514,634
509,252
Accounts receivable, net of allowance of $1,099 and $1,065 as of July 31, 2026 and April 30, 2026, respectively
94,568
100,548
Prepaid expenses and other current assets
24,531
31,965
Total current assets
770,168
707,962
Property and equipment, net
63,569
66,904
Goodwill
625
625
Other assets, non-current
40,442
40,782
Total assets
$
874,804
$
816,273
Liabilities and stockholders’ equity
Current liabilities
Accounts payable
$
8,741
$
5,509
Accrued compensation and employee benefits
44,038
48,560
Deferred revenue, current
52,568
34,861
Accrued and other current liabilities
19,775
17,641
Total current liabilities
125,122
106,571
Deferred revenue, non-current
1,106
1,560
Other long-term liabilities
53,680
54,391
Total liabilities
179,908
162,522
Commitments and contingencies
Stockholders’ equity
Class A common stock
156
145
Class B common stock
3
3
Additional paid-in capital
2,637,163
2,502,657
Accumulated other comprehensive loss
(610
)
(50
)
Accumulated deficit
(1,941,816
)
(1,849,004
)
Total stockholders’ equity
694,896
653,751
Total liabilities and stockholders’ equity
$
874,804
$
816,273
C3.AI, INC.
CONDENSED CONSOLIDATED STATEMENTS OF CASH FLOWS
(In thousands)
(Unaudited)
Three Months Ended July 31,
2026
2025
Cash flows from operating activities:
Net loss
$
(92,812
)
$
(116,769
)
Adjustments to reconcile net loss to net cash provided by (used in) operating activities
Depreciation and amortization
3,403
3,415
Non-cash operating lease cost
149
88
Stock-based compensation expense
59,233
64,775
Accretion of discounts on marketable securities
(1,305
)
(2,811
)
Other
34
262
Changes in operating assets and liabilities
Accounts receivable
5,946
23,302
Prepaid expenses, other current assets and other assets
7,562
(230
)
Accounts payable
3,083
(2,931
)
Accrued compensation and employee benefits
(2,048
)
3,343
Operating lease liabilities
(1,300
)
2,187
Other liabilities
2,874
(1,538
)
Deferred revenue
17,253
(6,628
)
Net cash provided by (used in) operating activities
2,072
(33,535
)
Cash flows from investing activities:
Purchases of property and equipment
(8
)
(760
)
Purchases of marketable securities
(129,154
)
(206,492
)
Maturities and sales of marketable securities
124,516
156,081
Net cash used in investing activities
(4,646
)
(51,171
)
Cash flows from financing activities:
Proceeds from exercise of Class A common stock options
72,812
1,289
Net cash provided by financing activities
72,812
1,289
Net increase (decrease) in cash, cash equivalents and restricted cash
70,238
(83,417
)
Cash, cash equivalents and restricted cash at beginning of period
78,763
176,924
Cash, cash equivalents and restricted cash at end of period
$
149,001
$
93,507
Cash and cash equivalents
$
136,435
$
80,941
Restricted cash included in other assets, non-current
12,566
12,566
Total cash, cash equivalents and restricted cash
$
149,001
$
93,507
Supplemental disclosure of cash flow information—cash paid for income taxes
$
518
$
452
Supplemental disclosures of non-cash investing and financing activities:
Purchases of property and equipment included in accounts payable and accrued liabilities
$
149
$
201
Right-of-use assets obtained in exchange for lease obligations (including remeasurement of right-of-use assets and lease liabilities due to changes in the timing of receipt of lease incentives)
$
—
$
(166
)
Vesting of early exercised stock options
$
—
$
5
C3.AI, INC.
RECONCILIATION OF GAAP TO NON-GAAP FINANCIAL MEASURES
(In thousands, except percentages)
(Unaudited)
Three Months Ended July 31,
2026
2025
Reconciliation of GAAP gross profit to non-GAAP gross profit:
Gross profit on a GAAP basis
$
16,669
$
26,444
Stock-based compensation expense (1)
8,788
9,290
Employer payroll tax expense related to employee stock-based compensation (2)
635
586
Gross profit on a non-GAAP basis
$
26,092
$
36,320
Gross margin on a GAAP basis
32
%
38
%
Gross margin on a non-GAAP basis
50
%
52
%
Reconciliation of GAAP loss from operations to non-GAAP loss from operations:
Loss from operations on a GAAP basis
$
(98,268
)
$
(124,819
)
Stock-based compensation expense (1)
59,233
64,775
Employer payroll tax expense related to employee stock-based compensation (2)
2,178
2,220
Restructuring (3)
698
—
Loss from operations on a non-GAAP basis
$
(36,159
)
$
(57,824
)
Reconciliation of GAAP net loss per share to non-GAAP net loss per share:
Net loss on a GAAP basis
$
(92,812
)
$
(116,769
)
Stock-based compensation expense (1)
59,233
64,775
Employer payroll tax expense related to employee stock-based compensation (2)
2,178
2,220
Restructuring (3)
698
—
Net loss on a non-GAAP basis
$
(30,703
)
$
(49,774
)
GAAP net loss per share attributable to Class A and Class B common shareholders, basic and diluted
$
(0.60
)
$
(0.86
)
Non-GAAP net loss per share attributable to Class A and Class B common shareholders, basic and diluted
$
(0.20
)
$
(0.37
)
Weighted-average shares used in computing net loss per share attributable to Class A and Class B common stockholders, basic and diluted
154,999
135,375
Three Months Ended
July 31, 2026
April 30, 2026
July 31, 2025
Reconciliation of GAAP expenses to non-GAAP expenses:
Total cost of revenue
$
35,706
$
40,277
$
43,817
Total operating expenses
114,937
132,481
151,263
GAAP expenses
150,643
172,758
195,080
Stock-based compensation expense (1)
59,233
54,187
64,775
Employer payroll tax expense related to employee stock-based compensation (2)
2,178
1,785
2,220
Restructuring (3)
698
10,828
—
Non-GAAP expenses
$
88,534
$
105,958
$
128,085
Three Months Ended July 31,
2026
2025
Cost of subscription
$
8,524
$
8,622
Cost of professional services
264
668
Sales and marketing
17,592
24,181
Research and development
20,037
19,323
General and administrative
12,816
11,981
Total stock-based compensation expense
$
59,233
$
64,775
Three Months Ended July 31,
2026
2025
Cost of subscription
$
615
$
550
Cost of professional services
20
36
Sales and marketing
573
674
Research and development
700
793
General and administrative
270
167
Total employer payroll tax expense
$
2,178
$
2,220
Reconciliation of free cash flow to the GAAP measure of net cash provided by (used in) operating activities:
The following table below provides a reconciliation of free cash flow to the GAAP measure of net cash provided by (used in) operating activities for the periods presented:
Three Months Ended July 31,
2026
2025
Net cash provided by (used in) operating activities
C3.ai, Inc. (AI) Q1 2027 Earnings Call September 2, 2026 5:00 PM EDT
Company Participants
Amit Berry - Senior Director of Investor Relations
Thomas Siebel - Founder, CEO & Executive Chairman
Hitesh Lath - Senior VP & CFO and Chief Administrative Officer
Conference Call Participants
Patrick Walravens - Citizens JMP Securities, LLC, Research Division
Radi Sultan - UBS Investment Bank, Research Division
Mike Latimore - Northland Capital Markets, Research Division
Presentation
Operator
Good day and thank you for standing by. Welcome to the C3 AI Fiscal First Quarter 2027 Earnings Call. [Operator Instructions] Please be advised that today's conference is being recorded. And now I'd like to hand the call over to today's host, Amit Berry. Please go ahead.
Amit Berry
Senior Director of Investor Relations
Good afternoon and welcome to C3 AI's earnings call for the first quarter of fiscal year 2027, which ended on July 31, 2026. My name is Amit Berry and I lead Investor Relations at C3 AI. With me on the call today are Tom Siebel, Chairman and Chief Executive Officer; and Hitesh Lath, Chief Financial Officer.
After the market closed today, we issued a press release with details regarding our first quarter results, which can be accessed through the Investor Relations section on our website at ir.c3.ai. This call is being webcast, and a replay will be available on our IR website following the conclusion of the call.
During today's call, we will make statements related to our business that may be considered forward-looking under federal securities laws. These statements reflect our views only as of today and should not be considered representative of our views as of any subsequent date. We disclaim any obligation to update forward-looking statements or outlook.
These statements are subject to a variety of risks and uncertainties that could cause actual
C3.ai's Options Anomaly: A Squeeze in the Making?C3.ai NYSE: AI reported first-quarter fiscal 2027 revenue of $52.4 million, above its prior guidance, as the enterprise AI software company said its restructuring efforts, federal-sector momentum and product focus helped improve operating efficiency.
The quarter ended July 31, 2026. Chairman and Chief Executive Officer Tom Siebel, who said he returned to the CEO role three months earlier with a mandate to turn around the business, characterized the company’s prior challenges as execution-related rather than stemming from its technology, market opportunity or balance sheet.
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Is C3.ai Stock Ready to Burn the Bears?“One quarter into the turnaround, I believe the company is on track,” Siebel said. He said the company restructured its sales, product and services organizations, reset its cost structure and established clearer ownership, deadlines and weekly operating reviews.
Revenue, bookings and profitability measures Chief Financial Officer Hitesh Lath said subscription revenue totaled $49.2 million, or 94% of total revenue. Professional services revenue was $3.2 million, including $1.8 million from prioritized engineering services. Combined subscription and prioritized engineering services revenue was $50.9 million, representing 97% of total revenue.
Top 5 MarketRank™ Stocks Backed by Analysts and Big InstitutionsSiebel said bookings grew 73% during the quarter, while federal bookings increased 138% year over year. The company closed 22 enterprise agreements, including agreements with Heidelberg Materials, Johnson & Johnson, Ford Motor Company, Seaspan, Holcim, the U.S. Department of Defense, the Defense Logistics Agency and the U.S. Department of Agriculture.
Non-GAAP gross profit was $26.1 million. Non-GAAP gross margin improved sequentially to 50% from 37% in the prior quarter. Non-GAAP operating loss was $36.2 million, $8.3 million better than the midpoint of guidance. Non-GAAP net loss was $30.7 million, or $0.20 per share. Free cash flow was positive $2.1 million, compared with negative $34.3 million a year earlier and negative $54.8 million in the prior quarter. Lath attributed the improvement in gross margin primarily to cost-reduction actions. He said free cash flow benefited from lower quarterly cash expenses and strong collections. The company ended the quarter with $651.1 million in cash equivalents and marketable securities.
Restructuring and cost reductions The company said its restructuring is nearly complete and is expected to produce about $135 million in annualized cost savings across the business. The program includes an approximately 40% reduction in headcount across organizations, as well as lower non-employee expenses.
Non-GAAP expenses totaled $88.5 million, down nearly $40 million from $128.1 million in the year-ago quarter and down more than $17 million from the preceding quarter, Lath said. Some of the savings are expected to be fully realized beginning in the second half of fiscal 2027.
The company expects non-GAAP gross margin to moderate to the mid-40% range next quarter as it selectively invests in a forward-deployed engineering organization. Siebel said C3 AI has maintained forward-deployed engineers for years and plans to increase near-term investment to help existing customers achieve their desired deployment outcomes.
He added that the company expects its C3 Code product to mitigate the need for such engineering resources over the medium and long term.
Product strategy and federal opportunity Siebel said C3 AI is concentrating its offerings around its agentic AI stack, including the C3 Agentic AI Platform, C3 Generative AI, C3 AI Studio and C3 Code. He described C3 AI Studio as a control plane for developing and operating large-scale enterprise AI applications, while C3 Code is intended to create enterprise AI applications from natural-language prompts.
According to Siebel, C3 Code can aggregate data, build ontologies and pipelines, develop machine-learning models, design a user interface and deliver a working application without manual coding. He said the product remains in the early stages of marketing, but early users have responded favorably.
Siebel also said the company’s strategy is shifting from selling large enterprise AI applications built on its platform toward making application components available for reassembly on demand through the platform or C3 Code.
In the federal market, Siebel said the company sees opportunity both in greenfield projects and in replacing incumbent providers. He cited dissatisfaction among some customers with an unnamed incumbent’s products and business practices, while also pointing to government spending on AI-related technologies in intelligence and defense sectors.
Outlook For the second quarter of fiscal 2027, C3 AI forecast revenue of $51 million to $55 million and a non-GAAP loss from operations of $34.5 million to $42.5 million.
For the full fiscal year, the company guided for revenue of $210 million to $240 million and a non-GAAP operating loss of $123 million to $155 million. Lath said the company expects free cash flow for the remainder of fiscal 2027 to broadly align with its non-GAAP operating-loss guidance range.
Siebel said his primary focus is on establishing consistent quarter-over-quarter revenue growth beginning in the third quarter, generating free cash flow from operations and reaching non-GAAP profitability. “We’re not going to ask the market to underwrite a story,” he said. “Our plan is to deliver results quarter over quarter and let those results speak for themselves.”
About C3.ai (NYSE:AI)C3.ai, Inc is a leading enterprise software provider focused on delivering scalable artificial intelligence (AI) and Internet of Things (IoT) solutions to large organizations. The company's core offering, the C3 AI Suite, is a comprehensive, model-driven platform that unifies data ingestion, model development, and application deployment. Through its suite of tools, C3.ai enables customers to accelerate digital transformation initiatives by applying advanced machine learning, predictive analytics, and AI-driven insights across a broad range of business functions.
The C3 AI Suite provides a low-code environment for data scientists and application developers to rapidly design, test, and deploy enterprise-scale AI applications.
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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C3.ai, Inc. (AI - Free Report) came out with a quarterly loss of $0.2 per share versus the Zacks Consensus Estimate of a loss of $0.26. This compares to a loss of $0.37 per share a year ago. These figures are adjusted for non-recurring items.
This quarterly report represents an earnings surprise of +23.08%. A quarter ago, it was expected that this company would post a loss of $0.38 per share when it actually produced a loss of $0.33, delivering a surprise of +13.16%.
Over the last four quarters, the company has surpassed consensus EPS estimates three times.
C3.ai, which belongs to the Zacks Computers - IT Services industry, posted revenues of $52.38 million for the quarter ended July 2026, surpassing the Zacks Consensus Estimate by 1.79%. This compares to year-ago revenues of $70.26 million. The company has topped consensus revenue estimates three times over the last four quarters.
The sustainability of the stock's immediate price movement based on the recently-released numbers and future earnings expectations will mostly depend on management's commentary on the earnings call.
C3.ai shares have lost about 23.3% since the beginning of the year versus the S&P 500's gain of 11.5%.
What's Next for C3.ai?While C3.ai has underperformed the market so far this year, the question that comes to investors' minds is: what's next for the stock?
There are no easy answers to this key question, but one reliable measure that can help investors address this is the company's earnings outlook. Not only does this include current consensus earnings expectations for the coming quarter(s), but also how these expectations have changed lately.
Empirical research shows a strong correlation between near-term stock movements and trends in earnings estimate revisions. Investors can track such revisions by themselves or rely on a tried-and-tested rating tool like the Zacks Rank, which has an impressive track record of harnessing the power of earnings estimate revisions.
Ahead of this earnings release, the estimate revisions trend for C3.ai was mixed. While the magnitude and direction of estimate revisions could change following the company's just-released earnings report, the current status translates into a Zacks Rank #3 (Hold) for the stock. So, the shares are expected to perform in line with the market in the near future. You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here.
It will be interesting to see how estimates for the coming quarters and the current fiscal year change in the days ahead. The current consensus EPS estimate is -$0.23 on $56.79 million in revenues for the coming quarter and -$0.82 on $221.58 million in revenues for the current fiscal year.
Investors should be mindful of the fact that the outlook for the industry can have a material impact on the performance of the stock as well. In terms of the Zacks Industry Rank, Computers - IT Services is currently in the top 42% of the 250 plus Zacks industries. Our research shows that the top 50% of the Zacks-ranked industries outperform the bottom 50% by a factor of more than 2 to 1.
Another stock from the same industry, Accenture (ACN - Free Report) , has yet to report results for the quarter ended August 2026. The results are expected to be released on October 1.
This consulting company is expected to post quarterly earnings of $3.19 per share in its upcoming report, which represents a year-over-year change of +5.3%. The consensus EPS estimate for the quarter has remained unchanged over the last 30 days.
Accenture's revenues are expected to be $18.01 billion, up 2.4% from the year-ago quarter.
C3.ai (NYSE:AI) posted its fiscal 2027 first-quarter results after Wednesday’s closing bell, beating estimates on the top and bottom lines. Here’s a look at the details inside the report.
AI stock is moving. Watch the price action here. C3.ai Q1 Details C3.ai reported quarterly losses of 20 cents per share, which beat the Street estimate for losses of 25 cents, per Benzinga Pro data.
Quarterly revenue came in at $52.38 million, which beat the analyst consensus of $52.12 million. Subscription revenue was $49.2 million and constituted 94% of total revenue.
“Revenue has stabilized, free cash flow is positive, operating loss has narrowed, and Forrester Research named C3 AI a leader in Enterprise AI,” said Thomas M. Siebel, CEO of C3.ai.
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“The plan is working, we are on track with laser-like management discipline to grow revenue, generate cash, attain non-GAAP profitability, maintain technology leadership and increase customer satisfaction,” Siebel added.
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AI Stock Price: According to data from Benzinga Pro, C3.ai stock was up 1.69% to $10.52 in Wednesday’s extended trading.
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Integrated traffic generation, protocol analysis, error injection, and debugging streamline validation of next-generation AI networks.
, /PRNewswire/ -- Teledyne LeCroy, a business unit of Teledyne Technologies Incorporated NYSE:TDY and a worldwide leader in protocol test solutions, today announced expanded Ultra Ethernet validation capabilities on the Xena Z1608 Edun™ and Xena Z800 Freya™ Ethernet Traffic Generators and the SierraNet® M1288 Protocol Analyzer platforms. These solutions are designed to help network equipment manufacturers, silicon providers, cloud service providers, and hyperscalers accelerate the development and deployment of high-performance Artificial Intelligence (AI) and High-Performance Computing (HPC) networks. The integrated solution combines wire-speed traffic generation, stateful message testing, deep protocol analysis, error injection, packet capture, and advanced debugging to deliver end-to-end visibility into network behavior—accelerating root-cause analysis, strengthening interoperability validation, and reducing deployment risk for next-generation AI networking infrastructure.
As AI and HPC infrastructure scales, network performance, reliability, interoperability, and deterministic low latency are essential to efficient scale-up and scale-out fabrics. Ultra Ethernet, an open Ethernet-based architecture designed for AI and HPC environments, addresses these requirements through enhanced congestion management, scalability, and reliability mechanisms.
The Xena Z1608 Edun and Z800 Freya Ethernet Traffic Generators and the SierraNet M1288 Protocol Analyzer provide comprehensive validation of critical Ultra Ethernet capabilities across high-speed PAM4 and legacy NRZ interfaces through wire-speed traffic generation, deep protocol analysis, stateful message testing, error injection, packet capture, and advanced debugging:
Link Layer Retry (LLR)Credit-Based Flow Control (CBFC)Link Layer Discover Protocol (LLDP)Stateful Ultra Ethernet protocol messagingProtocol error injectionMessage inspection and packet captureThe Xena Z800 Freya and SierraNet M1288 also support 10G and 25G NRZ speeds, extending Ultra Ethernet validation to chip emulation, pre-silicon functional testing, and mixed-speed interoperability environments.
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For additional information about Teledyne LeCroy Ethernet traffic generation, protocol analysis, error injection, and validation solutions, contact Teledyne LeCroy at +1 (800) 909-7211 or visit https://www.teledynelecroy.com/protocolanalyzer/ethernet-solutions.
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Cardio Diagnostics Holdings, Inc. (Nasdaq: CDIO), an AI-driven precision cardiovascular medicine company, today announced the release of a new edition of the company’s rural health report, “The State of Rural Hospitals and Cardiovascular Care,” aimed at helping rural healthcare leaders, policymakers, and community-based organizations improve cardiovascular care quality and outcomes in rural areas.
Ongoing Workforce Shortages and Access Challenges
The rural healthcare workforce shortage is significant and pervasive, particularly for specialists in cardiovascular medicine: 46% of U.S. counties have no practicing cardiologist. Rural areas have 39.8 physicians per 100,000 residents (compared to 53.3 physicians per 100,000 in urban areas). The persistent shortage of providers in rural regions translates into longer wait times for appointments, limited availability of specialized treatments, and potential delays in receiving critical care.
Access challenges for rural residents are exacerbated by the digital divide: 28% of rural Americans lack broadband access. Inadequate internet infrastructure hinders the potential of telehealth and remote monitoring technologies to bridge the distance between patients and providers. The combined effects of workforce shortages and lack of access to quality cardiovascular care place rural health organizations under mounting strain.
First published in 2024, Cardio Diagnostics’ State of Rural Hospitals and Cardiovascular Care report has been revised to bring renewed focus to persistent challenges faced by rural hospitals and to provide a detailed model for delivering quality cardiovascular care in rural settings. The update also comes as rural health organizations navigate a volatile landscape, including hospital closures and shifts in federal funding, that demands hospitals re-evaluate their strategies for delivering care.
Rural Patients Face Higher Rates of Cardiovascular Disease
While rural areas are challenged by staffing shortages, limited access to specialists, and inadequate infrastructure, the stakes are particularly high for managing cardiovascular disease (CVD). Rural Americans are more vulnerable to CVD than urban counterparts due to:
Greater geographic isolationLower socioeconomic statusReduced access to preventive careIncreased exposure to cardiovascular risk factorsSmoking rates, for instance, are significantly higher in rural areas (23.3%) compared to urban areas (15.5%). Higher incidence rates place added pressure on rural hospitals to address CVD patient care in their communities while navigating limited budgets and strained resources.
A New Four-Part Model for Delivering Care
The State of Rural Hospitals and Cardiovascular report presents an updated model for organizations seeking to manage CVD in rural areas. This model for delivering high-quality cardiovascular care focuses on early detection and prevention, continuous care management, and personalized interventions through four core areas, including:
Upskilling primary care cliniciansAdvancing cardiovascular care through epigenetic-genetic testingImplementing population-wide strategies to improve community health outcomesIntegrating remote care options in rural communities“Rural communities bear a disproportionate burden of cardiovascular disease, and rural health organizations play a vital role in closing that gap. But doing so requires delivering care in a way that accounts for the constraints faced by these communities,” says Meesha Dogan, Ph.D., CEO and Co-Founder of Cardio Diagnostics. “This report examines the driving factors behind these health disparities and the role of new technologies, from virtual cardiac care to precision-medicine tests, in improving access, strengthening early detection, and delivering more personalized care to rural populations.”
Access the full report here.
About Cardio Diagnostics
Cardio Diagnostics is an artificial intelligence-powered precision cardiovascular medicine company that makes cardiovascular disease prevention, detection, and management more accessible, personalized, and precise. The Company was formed to further develop and commercialize clinical tests by leveraging a proprietary Artificial Intelligence (AI)-driven Integrated Genetic-Epigenetic Engine (“Core Technology”) for cardiovascular disease to become one of the leading medical technology companies for improving prevention, detection, and treatment of cardiovascular disease. For more information, please visit https://cdio.ai/
Forward-Looking Statements
Certain statements and information included in this press release constitute “forward-looking statements” within the meaning of the Private Securities Litigation Act of 1995. When used in this press release, the words or phrases “will”, “will likely result,” “expected to,” “will continue,” “anticipated,” “estimate,” “projected,” “intend,” “goal,” or similar expressions are intended to identify “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. Such statements are subject to certain risks, known and unknown, and uncertainties, many of which are beyond the control of the Company. Such uncertainties and risks include but are not limited to, our ability to successfully execute our growth strategy, changes in laws or regulations, economic conditions, and dependence on results as discussed in the Annual Report on Form 10-K for the period ended December 31, 2025, under the heading “Risk Factors” in Part I, Item IA thereof, and other documents filed from time to time with the Securities and Exchange Commission. Such factors could materially adversely affect the Company’s financial performance and could cause the Company’s actual results for future periods to differ materially from any opinions or statements expressed within this press release.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260826128912/en/
Moonshot is seeking up to 30% of Kimi K3 revenue from U.S. cloud giants. Summary
Moonshot AI is in talks with Google, Microsoft and Amazon to host Kimi K3.
Alphabet Inc. (GOOGL, Financials) Microsoft and Amazon could soon be the biggest distributors of one of China's most carefully watched AI businesses.
Moonshot AI is in early discussions with Google Cloud, Microsoft Azure and Amazon Web Services to host its Kimi K3 model, Reuters reported. The startup is looking to take up to 30% of the income from services related to K3, the article said.
The partnership could be the first substantial revenue sharing contract between a Chinese AI business and a major U.S. cloud provider, even as Washington frets about China's access to cutting-edge artificial intelligence (AI) technology.
Kimi K3 has already made a name for itself on solid third party benchmark scores. The model has been competitive with top U.S. systems on complex tasks, Reuters said.
By hosting Kimi K3, Google, Microsoft and Amazon may offer more models to commercial customers and provide another channel to monetise AI demand.
But the talks are still preliminary, with revenue sharing, data access and usage audits remaining among the outstanding issues.
Disclosures I/we have no positions in any stocks mentioned, and have no plans to buy any new positions in the stocks mentioned within the next 72 hours.
Atrium Mortgage Investment Co. (TSE:AI – Get Free Report) passed below its two hundred day moving average during trading on Wednesday . The stock has a two hundred day moving average of C$11.82 and traded as low as C$11.50. Atrium Mortgage Investment shares last traded at C$11.52, with a volume of 111,046 shares changing hands.
Analyst Ratings Changes Separately, Fundamental Research set a C$12.82 price target on shares of Atrium Mortgage Investment and gave the company a “buy” rating in a report on Tuesday, August 11th. One analyst has rated the stock with a Strong Buy rating and one has assigned a Buy rating to the company. Based on data from MarketBeat.com, the stock currently has an average rating of “Strong Buy” and a consensus target price of C$13.16.
Check Out Our Latest Analysis on AI
Atrium Mortgage Investment Trading Down 0.5% The stock has a market cap of C$556.95 million, a P/E ratio of 11.64 and a beta of 0.70. The company has a current ratio of 3.72, a quick ratio of 102.54 and a debt-to-equity ratio of 55.94. The company has a 50-day moving average price of C$11.86 and a two-hundred day moving average price of C$11.82. Atrium Mortgage Investment Announces Dividend The company also recently disclosed a monthly dividend, which was paid on Wednesday, August 12th. Shareholders of record on Wednesday, August 12th were given a dividend of $0.0775 per share. The ex-dividend date was Friday, July 31st. This represents a c) dividend on an annualized basis and a yield of 8.1%. Atrium Mortgage Investment’s payout ratio is 93.94%.
Atrium Mortgage Investment Company Profile (Get Free Report)
Atrium Mortgage Investment Corp is a non-banking finance company providing residential and commercial mortgages that lends funds in major urban centres in Canada where the stability and liquidity of real estate are high. Its objectives are to provide its shareholders with stable and secure dividends and preserve shareholders’ equity by lending within conservative risk parameters. The company generates its revenue from mortgage interest and fees.
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Investors today who seek exposure to the artificial intelligence sector have a choice between the high-growth potential of specialized software and the stability of established infrastructure. Choosing between C3.ai (AI +1.94%) and Oracle (ORCL -0.72%) depends on your appetite for risk.
C3.ai focuses on enterprise artificial intelligence applications, while Oracle provides a comprehensive suite of cloud services and database technologies. Both companies are vying for leadership as organizations integrate machine learning into every layer of their operations.
The case for C3.aiC3.ai provides the C3 Agentic AI Platform and a variety of enterprise applications designed to optimize operations in sectors like defense and manufacturing. In its latest annual report, filed for its 2026 fiscal year (FY) ended April 30, the company highlighted strategic relationships with the likes of Microsoft, which help to sell its solutions. Customers include the U.S. Department of Energy and other government organizations. Client concentration like this adds a layer of risk to the business, as it relies on a limited number of high-value customers.
In FY 2026, revenue reached $250.3 million, which represented a decrease of 35.7% from the previous year. The company reported a net loss of $470.4 million during the period. This resulted in a net margin of negative 187.9%, indicating that the business is currently prioritizing restructuring and market expansion over immediate profitability.
As of its April 2026 balance sheet, the debt-to-equity ratio is zero, meaning the company carries no total debt relative to shareholder equity. The current ratio is 6.6x, indicating a strong ability to cover short-term obligations with liquid assets. Free cash flow, which is cash from operations minus capital expenditures, was negative $190.7 million in the latest fiscal year.
The case for OracleOracle offers cloud infrastructure and applications to a diverse global base, including government agencies and large corporations. In its latest annual report, filed for FY 2026, ended May 31, the company mentioned collaborating with third-party cloud providers like Alphabet to integrate advanced AI tools. It delivers its offerings through a wide network of channel partners, system integrators, and resellers across more than 175 countries.
In FY 2026, revenue reached $67.4 billion, an increase of 17.4% over the prior fiscal year. Net income for the year was $17.1 billion, yielding a net margin of 25.4%. This performance reflects the company's ability to maintain high levels of profitability while scaling its cloud infrastructure and application segments.
As of its May 2026 balance sheet, the debt-to-equity ratio is 3.7x, which means total debt is 3.7 times the value of shareholder equity. The current ratio is 1.1x, suggesting the company has sufficient liquid assets to meet its immediate liabilities. Free cash flow was negative $23.7 billion, reflecting the massive capital investments required to scale data centers and power infrastructure globally.
Risk profile comparisonC3.ai faces significant risks from revenue concentration and a recent restructuring of its sales organization. The company must also navigate evolving global AI regulations, such as the EU AI Act, and potential reputational harm from model hallucinations. Competition is intense, as the firm competes against the internal IT departments of potential clients and large cloud providers that offer competing platforms.
Oracle deals with the high costs of scaling its cloud infrastructure, which requires continuous and massive capital investment. The company faces stiff competition from Amazon and Microsoft. Additionally, as a processor of sensitive government and financial data, Oracle remains a frequent target for sophisticated cybersecurity attacks.
Valuation comparisonFor these tech stocks investors can evaluate their valuations using the P/S ratio, which measures market value relative to annual revenue. Since C3.ai is not profitable, only Oracle has a forward P/E ratio. C3.ai appears more attractively priced, since it carries a slightly lower sales multiple.
MetricC3.aiOracleForward P/En/a18.5xP/S ratio5.9x6.4xValuation metrics sourced from Financial Modeling Prep (FMP) and may differ from other data providers.
Which stock would I buy in 2026?While C3.ai and Oracle operate in the hot field of artificial intelligence, not all AI companies are equal. Although the former has a more attractive valuation, Oracle is the stock I would invest in between these two.
A key reason is Oracle's rising revenue. In its 2026 fiscal year, sales grew 17% year over year to $67.4 billion. The company announced record remaining performance obligations of $638 billion at the end of Q4. That points to more sales growth ahead for the veteran tech giant, and demonstrates the strong demand for its AI infrastructure.
C3.ai experienced a massive revenue drop of nearly 36% year over year in its 2026 fiscal year, due in part to its CEO Thomas Siebel stepping down as a result of health issues. In June, the company announced his return to the CEO role, and perhaps that can galvanize revenue growth. C3.ai was doing well before Siebel had to resign.
Despite Siebel's return, C3.ai still has to prove it can bounce back to growing sales. Meanwhile, Oracle's business is expanding. It forecasted fiscal 2027 sales to hit $90 billion. That kind of consistent sales success makes it a stronger investment than C3.ai.
The upcoming report from C3.ai, Inc. (AI - Free Report) is expected to reveal quarterly loss of -$0.26 per share, indicating an increase of 29.7% compared to the year-ago period. Analysts forecast revenues of $51.46 million, representing a decline of 26.8% year over year.
The current level reflects no revision in the consensus EPS estimate for the quarter over the past 30 days. This demonstrates how the analysts covering the stock have collectively reappraised their initial projections over this period.
Prior to a company's earnings announcement, it is crucial to consider revisions to earnings estimates. This serves as a significant indicator for predicting potential investor actions regarding the stock. Empirical research has consistently demonstrated a robust correlation between trends in earnings estimate revision and the short-term price performance of a stock.
While investors typically use consensus earnings and revenue estimates as a yardstick to evaluate the company's quarterly performance, scrutinizing analysts' projections for some of the company's key metrics can offer a more comprehensive perspective.
That said, let's delve into the average estimates of some C3.ai metrics that Wall Street analysts commonly model and monitor.
Analysts forecast 'Revenue- Professional services' to reach $3.07 million. The estimate indicates a year-over-year change of -69.2%.
Analysts' assessment points toward 'Revenue- Subscription' reaching $48.28 million. The estimate indicates a change of -19.9% from the prior-year quarter.
The consensus estimate for 'Gross margin- Professional services' stands at 51.7%. Compared to the present estimate, the company reported 77.0% in the same quarter last year.
Analysts expect 'Gross margin- Subscription' to come in at 27.9%. Compared to the current estimate, the company reported 31.0% in the same quarter of the previous year.
View all Key Company Metrics for C3.ai here>>>
Shares of C3.ai have experienced a change of +13.9% in the past month compared to the +4.3% move of the Zacks S&P 500 composite. With a Zacks Rank #3 (Hold), AI is expected to mirror the overall market performance in the near future. You can see the complete list of today's Zacks Rank #1 (Strong Buy) stocks here >>>> .
As the race for enterprise AI automation intensifies, investors are weighing different paths to potential profit. Is the pure-play approach of C3.ai (AI +1.94%) or the orchestration power of UiPath (PATH -0.98%) the better buy?
C3.ai provides ready-to-use artificial intelligence applications for government and industrial sectors, while UiPath focuses on automating repetitive workflow tasks through its AI software. Both companies represent different segments of the modern intelligence revolution. They compete for corporate budgets as businesses modernize their workflows, making a direct comparison essential for investors.
The case for C3.aiC3.ai sells enterprise-grade software applications that help organizations deploy predictive analytics and generative AI at scale. As businesses evaluate tech stocks for their next digital transformation cycle, the company targets sectors like defense, manufacturing, and oil and gas. It has historically relied on high-value partners like Baker Hughes, though it is currently transitioning toward a consumption-based pricing model to attract smaller customers.
In its 2026 fiscal year (FY) ended April 30, revenue reached $250.3 million, which represented a decrease of 35.7% compared to the prior year. The company reported a net loss of $470.4 million during this period, resulting in a net margin of negative 187.9%. This negative net margin indicates that for every dollar of revenue generated, the company lost nearly two dollars after accounting for all expenses.
As of its April 2026 balance sheet, the current ratio is 6.6x. This current ratio measures assets that can be converted to cash within a year against liabilities due in that same period, indicating a strong liquidity position. The company carries a debt-to-equity ratio of zero, which measures total debt against shareholder equity, while free cash flow reached a loss of $190.7 million. Free cash flow is the cash a company generates after accounting for cash outflows to support its operations and capital assets.
The case for UiPathUiPath provides an end-to-end platform that combines robotic process automation with new AI agents to orchestrate complex business processes. The company serves thousands of customers globally, including a significant number of large organizations that contribute more than $1 million in annual recurring revenue.
In FY 2026 ended Jan. 31, revenue reached $1.6 billion, representing growth of 13% over the previous fiscal year. The company achieved net income of $282.3 million, yielding a net margin of 17.5%. This positive net margin shows that the company successfully converted a portion of its sales into profit after covering all operating and non-operating costs.
As of its January 2026 balance sheet, the current ratio is 2.5x. The company maintains a debt-to-equity ratio of zero, showing it has no significant borrowed money relative to its equity base. Free cash flow reached $352.2 million for the year. Note that stock-based compensation (SBC) represented 78.3% of operating cash flow, which inflates reported cash generation since SBC is a non-cash expense added back in the cash flow statement.
Risk profile comparisonC3.ai faces significant risks related to its customer concentration and its ongoing transition to a consumption-based sales model. The company must navigate intense competition in the AI arena. Additionally, evolving global regulations like the EU AI Act could increase compliance costs, while past legal scrutiny remains a point of focus for cautious investors.
UiPath also contends with customer concentration, as a small percentage of its largest clients accounts for a substantial portion of its total revenue. The company is vulnerable to service interruptions from the third-party cloud infrastructure providers it relies on to deliver products. Furthermore, it faces the challenge of managing rapid organizational growth and integrating recent acquisitions while competing against established software firms like Microsoft.
Valuation comparisonUiPath appears more attractively valued than its peer in this comparison, carrying a lower multiple on annual sales. C3.ai lacks a forward P/E ratio since it is unprofitable, and not expected to achieve profitability in the near term.
MetricC3.aiUiPathForward P/En/a21.4xP/S ratio5.9x5.5xValuation metrics sourced from Financial Modeling Prep (FMP) and may differ from other data providers.
Which stock would I buy in 2026?Although C3.ai and UiPath both operate in the hot field of artificial intelligence, the one I would invest in is the latter. C3.ai's business was doing well until CEO Thomas Siebel resigned from the position due to health issues. That's when the company's sales declined, and although Siebel returned to the CEO role in June, it will take time for C3.ai to rebound.
UiPath's business is expanding. Its fiscal 2026 sales growth of 13% was solid, and that percentage has accelerated to a 17% year-over-year increase to $418 million in its fiscal first quarter ended April 30.
UiPath forecasted fiscal 2027 full-year revenue to hit about $1.8 billion, up from the prior year's $1.6 billion. C3.ai expects another year of falling sales, with fiscal 2027 guidance between $210 million and $240 million compared to $250.3 million in fiscal 2026.
In addition, UiPath boasts stronger financial health. While C3.ai is not a profitable company, UiPath reported fiscal Q1 net income of $22.5 million.
C3.ai, Inc. (AI - Free Report) closed the most recent trading day at $10.11, moving -1.84% from the previous trading session. The stock fell short of the S&P 500, which registered a loss of 0.28% for the day. Meanwhile, the Dow experienced a rise of 0.26%, and the technology-dominated Nasdaq saw a decrease of 0.77%.
Heading into today, shares of the company had gained 26.38% over the past month, outpacing the Computer and Technology sector's gain of 1.04% and the S&P 500's gain of 2.31%.
Investors will be eagerly watching for the performance of C3.ai, Inc. in its upcoming earnings disclosure. The company's earnings report is set to be unveiled on September 2, 2026. The company is expected to report EPS of -$0.26, up 29.73% from the prior-year quarter. At the same time, our most recent consensus estimate is projecting a revenue of $51.46 million, reflecting a 26.76% fall from the equivalent quarter last year.
For the full year, the Zacks Consensus Estimates are projecting earnings of -$0.82 per share and revenue of $221.58 million, which would represent changes of +39.26% and -11.46%, respectively, from the prior year.
Investors should also pay attention to any latest changes in analyst estimates for C3.ai, Inc. These revisions typically reflect the latest short-term business trends, which can change frequently. Hence, positive alterations in estimates signify analyst optimism regarding the business and profitability.
Our research suggests that these changes in estimates have a direct relationship with upcoming stock price performance. To exploit this, we've formed the Zacks Rank, a quantitative model that includes these estimate changes and presents a viable rating system.
The Zacks Rank system, spanning from #1 (Strong Buy) to #5 (Strong Sell), boasts an impressive track record of outperformance, audited externally, with #1 ranked stocks yielding an average annual return of +25% since 1988. The Zacks Consensus EPS estimate remained stagnant within the past month. C3.ai, Inc. is currently a Zacks Rank #3 (Hold).
The Computers - IT Services industry is part of the Computer and Technology sector. With its current Zacks Industry Rank of 77, this industry ranks in the top 32% of all industries, numbering over 250.
The Zacks Industry Rank assesses the vigor of our specific industry groups by computing the average Zacks Rank of the individual stocks incorporated in the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.
Don't forget to use Zacks.com to keep track of all these stock-moving metrics, and others, in the upcoming trading sessions.
*Stock prices used were the afternoon prices of Aug. 19, 2026. The video was published on Aug.21, 2026.
Parkev Tatevosian, CFA has no position in any of the stocks mentioned. The Motley Fool recommends C3.ai. 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.
C3 AI (NYSE: AI), the Enterprise AI application software company, today announced it will issue its financial results for the fiscal first quarter, which ended July 31, 2026, following the close of the U.S. markets on Wednesday, September 2, 2026.
C3 AI will host a conference call and webcast to discuss the financial results. The conference call will begin at 2:00 p.m. PT / 5:00 p.m. ET on September 2, 2026. Analysts and investors may participate in the question-and-answer session.
Conference Call Details
Date: Wednesday, September 2, 2026
Time: 2:00 p.m. Pacific Time
To access the conference call via a dial-in number and personalized PIN code, participants should register here: telephone registration.
To listen to the conference call via webcast, participants should register here: webcast registration.
Access to the conference call is also available on the C3 AI Investor Relations website events page. The audio replay will be available approximately two hours after its completion and will be accessible for 30 days on the C3 AI Investor Relations website.
About C3.ai, Inc.
C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260820849223/en/
Experian®, a global data and technology company, today released its 11th annual Identity and Fraud Report, highlighting how artificial intelligence (AI) is transforming the digital economy while simultaneously creating new opportunities for fraud. The findings point to a growing challenge for businesses: building trust in an economy where both people and AI agents are increasingly participating in digital transactions.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260819776125/en/
Experian® today released its 11th annual Identity and Fraud Report, highlighting how artificial intelligence is transforming the digital economy while simultaneously creating new opportunities for fraud.
The report found 31% of consumers have already used AI tools to shop and transact online, and another 23% would consider doing so. However, confidence drops sharply for higher-stakes decisions with just 21% comfortable relying on AI for completing travel-related purchases and only 17% for financial services decisions. Meanwhile, more than half of people say they’re concerned about AI-enabled scams, underscoring the trust challenges that could shape the next phase of AI adoption.
“AI is transforming digital interactions in ways that are creating both exciting opportunities and new risks,” said Kathleen Peters, Chief Innovation Officer at Experian. “As we move toward a human-not-present era where consumers increasingly rely on AI to help make decisions on their behalf, the organizations that will succeed will be the ones that make trust visible. Establishing identity and trust, whether for a person or an AI agent, is essential to every digital interaction.”
Fraud losses continue to climb
Consumers reported $15.9 billion in fraud losses in 2025, up 27% from the previous year, according to the FTC. The actual losses are likely much higher as many fraud cases go unreported. Experian’s research found that nearly 1 in 5 people suffered personal financial losses from online fraud in the past year, and another 15% say fraud was attempted but prevented. Seventy-two percent of victims say the experience left them feeling more vulnerable online. Phishing scams were the most common consumer fraud incident reported (26%), followed by fake advertising (19%), package delivery scams (16%), credit card theft (16%), unauthorized charges (15%) and fraudulent bank transactions (15%).
Businesses are feeling the impact as well, with 60% reporting fraud losses are somewhat or significantly higher than previous years, and 77% expect fraud management budgets to increase.
AI creates both opportunity and risk
Companies identify AI-generated phishing attacks as their leading AI-related fraud concern (53%), followed by AI-assisted first-party fraud (51%), document forgery (45%), automated bot attacks (40%) and deepfake voice scams (37%).
To combat these threats, businesses are rapidly adopting AI to strengthen defenses. Eighty percent of organizations report using machine learning or generative AI within fraud management environments to help identify suspicious activity, improve identity verification and enhance fraud detection capabilities.
Identity and security remain critical to trust
As digital interactions become more automated, consumers expect both security and convenience. Seventy-one percent say it’s important for businesses to accurately recognize them online, while nearly 50% report greater trust in organizations that can do so without requiring repeated authentication. In addition, 84% say they’re willing to complete additional security steps when needed to prevent fraud.
The findings suggest trust is becoming a competitive differentiator in an AI-driven marketplace. As AI agents play a larger role in digital transactions, companies need trusted ways to verify both the consumer and the digital agent acting on their behalf. To address this challenge, Experian recently launched Experian Agent Trust™, extending its expertise in identity and fraud prevention to help verify not only the person, but also the AI agent acting on their behalf.
Experian’s identity verification and fraud prevention solutions helped clients avoid an estimated $19 billion in fraud losses globally in 2025. To learn more, watch Experian’s 2026 Fraud Trends: Navigating AI and the Future of Digital Trust webinar here.
Methodology: Experian’s Identity and Fraud Report is based on two major surveys conducted in the U.S. with HarrisX in April 2026. The first asked more than 2,000 U.S. consumers about their online interactions and expectations regarding security and customer experience. The second survey asked more than 200 businesses in the U.S. about their strategies for effective fraud management, customer identification and authentication, including investments related to security and customer experience. Companies ranged in size from $10 million to above $1 billion in revenue.
About Experian
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and platforms. We also assist millions of people to realize their financial goals and help them to save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.
We invest in talented people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,200 people across 33 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260819776125/en/
Former Genentech/Roche and NIH Leader Appointed CEO to Drive Longevica Therapeutics Into IND-Enabling Development Following Completion of World's Largest Mammalian Longevity Study
SAN FRANCISCO & NEW YORK--(BUSINESS WIRE)--Longevica Therapeutics, Inc. ("Longevica"), a preclinical biotechnology company pioneering target discovery and small-molecule therapeutics from full-lifespan mammalian geroscience, today announced the appointment of biopharmaceutical executive Dr. Prasun Mishra as Chief Executive Officer and member of its Board of Directors. The appointment marks Longevica's strategic transition from foundational discovery to systematic drug development, accelerating the translation of its proprietary mammalian longevity dataset into clinical pipeline candidates.
Longevica Therapeutics appoints ex-Genentech/Roche & NIH leader Dr. Prasun Mishra as CEO to advance the world’s largest $13M mammalian longevity program into AI-driven target discovery, IND-enabling studies & biopharma partnerships. #Biotech #Geroscience #
Share Dr. Mishra's appointment follows the completion of Longevica's landmark four-year, $13 million in vivo mammalian screening program conducted at The Jackson Laboratory, which systematically evaluated 1,033 small-molecule compounds across more than 16,000 mouse subjects over their natural lifespans. The program generated a proprietary dataset that Longevica characterizes as the world's largest mammalian longevity screening program of its kind and one of the most rigorous empirical datasets in translational aging science.
Longevica is now entering its next operational phase: converting full-lifespan empirical data into defined biological mechanisms, druggable targets, and therapeutic development programs. Deep mechanistic analysis of the dataset has already revealed two previously uncharacterized candidate biological mechanisms governing mammalian lifespan extension, laying the foundation for selected candidates to advance into formal IND-enabling studies for high-unmet-need age-related disorders.
The Paradigm Shift: From Academic Geroscience to Pharmaceutical Translation
For decades, biopharmaceutical research has treated age-related pathologies such as metabolic dysfunction, neurodegeneration, cardiovascular decline, and systemic fibrosis as isolated, late-stage clinical entities. However, modern geroscience demonstrates that these conditions stem from interconnected cellular drivers of aging, including genomic instability, epigenetic alterations, loss of proteostasis, mitochondrial impairment, cellular senescence, nutrient-sensing dysregulation, and chronic systemic inflammation.
Translating these biological insights into conventional prescription therapeutics remains a challenge. Much of modern aging research has relied upon reductionist systems, including short-lived model organisms (C. elegans, Drosophila), cellular assays, computational modeling, and retrospective approaches. While these systems provide valuable mechanistic insights, they do not capture physiological complexity, multi-organ crosstalk, and multi-year temporal dynamics of mammalian aging over an entire natural lifespan.
Longevica addressed this structural industry bottleneck by executing a full-lifespan, empirical in vivo phenotypic screen directly in a mammalian model. Rather than assuming single-target hypotheses a priori, the company deployed an unbiased screening architecture across 1,033 structurally diverse chemical entities. By tracking mouse cohorts from maturity through natural death, Longevica experimentally mapped compound exposure directly to lifespan outcomes across full physiological life cycles.
The Data Engine: Reverse-Engineering Lifespan Phenotypes into Druggable Pathways
The resulting dataset bridges classical drug repurposing, phenotypic drug discovery, and modern computational target identification. Post-screen bioinformatic and mechanistic analyses have isolated specific chemical structures that extended mammalian lifespan, supporting foundational intellectual property covering lifespan-extension compositions.
Crucially, deep mechanistic analysis of the Jackson Laboratory dataset identified two previously uncharacterized candidate biological mechanisms associated with mammalian lifespan extension. These insights enable Longevica to reverse-engineer observed phenotypic lifespan extensions into precise, druggable biological pathways, transforming observational longevity data into small-molecule drug development programs.
By integrating this proprietary screening dataset with predictive AI models and computational chemistry, Longevica is training machine learning algorithms on empirical mammalian longevity outcomes rather than unverified public literature or isolated cell-line data. This data-driven engine accelerates target identification and validation, mechanism mapping, and lead optimization for novel therapeutic entities.
Leadership to Drive Preclinical Execution
Dr. Prasun Mishra brings more than two decades of biopharmaceutical R&D, translational medicine, and strategic corporate leadership to Longevica. His career spans executive and scientific leadership roles at Genentech, Roche, the National Institutes of Health (NIH), the National Cancer Institute (NCI), the University of California, San Francisco (UCSF), and Rutgers University.
Over his career, Dr. Mishra has spearheaded more than 30 therapeutic research programs, advancing 12 distinct candidate molecules into clinical trials and guiding four therapeutics through global regulatory approvals. His operational experience in translational oncology, precision medicine, and adaptive clinical design positions Longevica to translate complex geroscience mechanisms into conventional, regulatorily validated clinical indications.
"Over the past decade, the longevity sector has faced a fundamental translational validation challenge. The industry frequently attempted to build clinical pipelines on retrospective data mining, short-lived lower organisms, or reductionist cell assays that fail to reflect mammalian physiology," said Alexander Chikunov, Founder and Chairman of the Board at Longevica. "Longevica chose to address that challenge at the source by investing four years and $13 million to build an empirical, full-lifespan dataset at The Jackson Laboratory. With candidate mechanisms identified and foundational IP issued, Dr. Mishra's proven track record of guiding complex programs from preclinical discovery through IND filings and regulatory approvals makes him the ideal executive to lead Longevica's commercial translation."
"The central challenge in geroscience is no longer simply establishing that aging biology is modifiable, but determining which mammalian mechanisms can be translated into disease-modifying prescription therapeutics," said Dr. Prasun Mishra, Chief Executive Officer of Longevica. "While much of the field remains constrained by academic observation or pure computational modeling, Longevica generated hard, full-lifespan in vivo data across more than 1,000 small molecules in a mammalian system. Our strategic imperative is clear: apply biopharmaceutical discipline to convert these empirical targets into first-in-class therapeutics, advance lead programs through IND-enabling studies, and build high-value strategic alliances across the global biopharmaceutical industry."
Three-Pillar Corporate Growth Strategy
Under Dr. Mishra's leadership, Longevica is executing a structured, three-pillar growth plan:
Preclinical & IND Execution: Advance lead small-molecule candidates targeting newly identified longevity mechanisms into formal IND-enabling studies, initially prioritizing high-unmet-need, age-related metabolic dysfunction and systemic fibrotic disorders. AI Platform & Computational Scaling: Expand Longevica's proprietary computational drug discovery engine by integrating machine learning models with the full-lifespan Jackson Laboratory dataset to optimize next-generation pipeline compounds and uncover novel druggable targets. Strategic Biopharma Alliances & Parallel Translation: Pursue co-development partnerships with global pharmaceutical companies for human prescription indications, while evaluating parallel opportunities in companion animal healthspan extension and science-backed consumer healthspan formulations. Dual-Front Commercial Model for Healthspan Translation
In addition to its core human prescription therapeutic pipeline, Longevica's platform provides a direct translational bridge into pet health and veterinary medicine. Because companion animals experience age-related pathologies similar to humans over compressed lifespans, veterinary therapeutics offer a rapid clinical validation pathway and near-term commercial execution alongside long-horizon human biopharma development.
Guiding this multi-front translational strategy is an advisory board comprising leaders from Harvard University, UC Berkeley, Rutgers University, and life sciences venture capital firms.
About Longevica Therapeutics
Longevica Therapeutics is a preclinical biotechnology company developing small-molecule therapeutics for human and companion-animal health at the intersection of translational aging science, empirical mammalian phenomics, and AI-drug discovery. The company’s discovery platform is built on a $13 million, four-year full-lifespan in vivo mammalian longevity screening program conducted at The Jackson Laboratory, evaluating 1,033 small-molecule compounds across more than 16,000 mouse subjects over their natural lifespans. By integrating this proprietary dataset with multi-omics analysis, artificial intelligence, and computational chemistry, Longevica is working to identify and validate aging-associated mechanisms, druggable targets, and therapeutic opportunities. Supported by an advisory board comprising leaders from Harvard University, UC Berkeley, Rutgers University, and the life sciences venture capital sector, Longevica is advancing foundational discoveries toward preclinical development and, ultimately, clinical translation.
Corporate Headquarters: San Francisco, CA & Princeton, NJ
Official Website: https://longevica.com/
In the latest trading session, C3.ai, Inc. (AI - Free Report) closed at $9.70, marking a -2.32% move from the previous day. This change lagged the S&P 500's 0.52% loss on the day. Elsewhere, the Dow saw a downswing of 0.51%, while the tech-heavy Nasdaq depreciated by 0.32%.
Shares of the company have appreciated by 12.59% over the course of the past month, outperforming the Computer and Technology sector's gain of 1.99%, and the S&P 500's gain of 3.3%.
Market participants will be closely following the financial results of C3.ai, Inc. in its upcoming release. The company's upcoming EPS is projected at -$0.26, signifying a 29.73% increase compared to the same quarter of the previous year. Meanwhile, the Zacks Consensus Estimate for revenue is projecting net sales of $51.46 million, down 26.76% from the year-ago period.
In terms of the entire fiscal year, the Zacks Consensus Estimates predict earnings of -$0.82 per share and a revenue of $221.58 million, indicating changes of +39.26% and -11.46%, respectively, from the former year.
Additionally, investors should keep an eye on any recent revisions to analyst forecasts for C3.ai, Inc. These revisions typically reflect the latest short-term business trends, which can change frequently. As such, positive estimate revisions reflect analyst optimism about the business and profitability.
Our research reveals that these estimate alterations are directly linked with the stock price performance in the near future. To capitalize on this, we've crafted the Zacks Rank, a unique model that incorporates these estimate changes and offers a practical rating system.
The Zacks Rank system, spanning from #1 (Strong Buy) to #5 (Strong Sell), boasts an impressive track record of outperformance, audited externally, with #1 ranked stocks yielding an average annual return of +25% since 1988. Over the last 30 days, the Zacks Consensus EPS estimate has witnessed an unchanged state. Currently, C3.ai, Inc. is carrying a Zacks Rank of #3 (Hold).
The Computers - IT Services industry is part of the Computer and Technology sector. At present, this industry carries a Zacks Industry Rank of 79, placing it within the top 33% of over 250 industries.
The strength of our individual industry groups is measured by the Zacks Industry Rank, which is calculated based on the average Zacks Rank of the individual stocks within these groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.
Don't forget to use Zacks.com to keep track of all these stock-moving metrics, and others, in the upcoming trading sessions.
Thomas M. Siebel, CEO and Chairman of the Board of C3.ai, Inc. (AI -4.17%), sold ~453,000 shares of Class A Common Stock on August 11, 2026, for ~$4.8 million following the exercise of equity awards. SEC Form 4 filing.
Transaction summaryMetricValueTransaction value~$4.8 millionShares sold453,314Post-transaction shares (directly held)722,362Post-transaction shares (indirectly held)~8.6 millionPost-transaction value$98.63 millionTransaction value based on SEC Form 4 weighted average sale price ($10.51); post-transaction value based on August 11, 2026 market close ($10.63).
Key questionsWhat was the structural nature of this transaction?
This was an exercise-and-sell event in which Thomas M. Siebel converted 453,314 options into common stock and immediately sold those shares at prices ranging from $10.30 to $10.69. The exercise of these fully vested options reflects a planned conversion of equity compensation into cash.How is the CEO's residual equity exposure distributed?
The executive retains a substantial position through multiple vehicles, including ~7.1 million shares in The Siebel Living Trust and ~1.2 million shares in The Siebel 2011 Irrevocable Children's Trust. Additionally, he continues to hold 2.4 million derivative securities in the form of stock options.What are the current financial benchmarks for C3.ai?
As of the August 12, 2026 market close, the stock was priced at $10.08, following a (35%) one-year return as of the transaction date. The firm reports trailing twelve-month revenue of $250.3 million against a net loss of $470.4 million, maintaining a market capitalization of $1.5 billion.Company OverviewMetricValueShare Price (as of market close 2026-08-12)$10.08Market Capitalization$1.50 billionRevenue (TTM)$250.30 millionNet Income (TTM)-$470.40 millionTotal Employees764One Year Stock Performance-35.46%Company SnapshotC3.ai develops and commercializes enterprise artificial intelligence software solutions, including the C3 AI Application Platform for building and deploying AI applications, along with specialized tools such as C3 AI Ex Machina for data preparation and C3 AI CRM for customer relationship management.The company generates revenue through software licensing and subscription-based delivery of its AI platform and applications to enterprise customers, enabling organizations to develop, deploy, and operate AI solutions at scale.C3.ai serves a diverse global customer base across North America, Europe, the Middle East, Africa, and the Asia Pacific region, targeting large enterprises seeking to accelerate digital transformation and artificial intelligence adoption.C3.ai is a leading provider of enterprise AI software solutions with a market capitalization of $1.50 billion and TTM revenue of $250.30 million. The company operates at significant scale with 764 employees and maintains a global presence across multiple regions. C3.ai's competitive differentiation lies in its comprehensive AI platform architecture, which enables enterprises to rapidly develop, deploy, and operationalize AI applications without requiring extensive in-house AI expertise.
What this transaction means for investorsAs previously mentioned, Siebel's stock sale was an "exercise and sell event." This means he converted options into common stock and immediately sold them.
Since the sale occurred under the Rule10b5-1 framework, Siebel pre-planned it in advance. Additionally, Siebel retained about 95% of his C3.ai stock holdings, indicating a positive outlook on the company he founded and continues to lead.
Like many other SaaS stocks, the so-called "SaaSpocalypse" seems to have affected C3.ai stock price decline. The market has sold these stocks recently amid fears that AI engines could build applications to perform the tasks of software platforms at a fraction of the cost.
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Admittedly, C3.ai may suffer from this perception more than most software companies. Revenue is down as the company transitions to a pay-as-you-go subscription model. Also, a heavy dependence on a few large corporate clients and competition from the hyperscalers and companies like Palantir may concern some investors.
Whatever the problems, it is clear that Siebel remains bullish on his company, and this recent sale likely does nothing to change his sentiments.
Will Healy has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Palantir Technologies. The Motley Fool recommends C3.ai. The Motley Fool has a disclosure policy.
This post may contain links from our sponsors and affiliates, and Flywheel Publishing may receive compensation for actions taken through them.
C3.ai (NYSE:AI | AI Price Prediction) currently trades at $10.18, while Wedbush Securities analyst Dan Ives carries a Street-high price target of $15 on the enterprise AI software company, implying roughly 47% upside from here. That headline number sits far above the broader Wall Street consensus, which has drifted lower after a brutal fiscal 2026.
C3.ai sells the C3 Agentic AI Platform and industry-specific enterprise AI applications, competing for federal, defense, and industrial AI dollars. Founder Thomas Siebel returned as CEO in June and personally bought 6.17 million shares at $11.16, betting his own capital on a turnaround.
A Revenue Collapse the Market Refuses to Look Past Fiscal 2026 revenue landed at $250.27 million, down 35.67% year over year, with Q4 showing revenue of $51.60 million, a 52.5% year-over-year decline. GAAP gross margin collapsed from 62% to 22%, and full-year free cash flow deteriorated to negative $192.14 million.
Siebel called the recent sales performance “unspeakably horrible” and said “sales just fell off the cliff” across the last five quarters. FY2027 revenue guidance of $210 million to $240 million implies further shrinkage before recovery. Shares are off 45.27% over the past year and 24.48% year to date. Securities class actions emerged after the Q1 FY2026 disclosure around Siebel’s earlier health issues.
Why Ives and Wedbush Are Still Betting on a 50% Rebound Ives maintains an Outperform rating with the $15 target, the Street-high across all coverage. His thesis rests on three pillars: C3.ai as an early enterprise pure-play for federal and commercial generative AI adoption, the shift toward consumption-based pricing to lower deployment friction, and a partner-led motion through Microsoft Azure, AWS, and Google Cloud.
Q3 FY2026 bookings from federal, defense, and aerospace grew 134% year over year and reached 55% of total bookings. The joint qualified pipeline with Microsoft grew 146% year over year, and the AWS joint pipeline grew 172%. That aligns with a Pentagon budget request calling for $58.5 billion for AI in FY2027.
Broader Wall Street remains skeptical. Of 14 covering analysts, the breakdown is 0 Strong Buy, 1 Buy, 7 Hold, 3 Sell, and 3 Strong Sell, with an average target of just $8.82, below the current quote. Siebel’s message was blunt: “Game on.”
How C3.ai Stacks Up Against Its AI Software Peers AI software names with real revenue growth have held up while C3.ai has been isolated.
Palantir (NASDAQ:PLTR) trades near $178.65 against a $191.68 target, roughly 7% upside. Q2 revenue climbed 92.8% to $1.94 billion, and 20 Buys against 10 Holds reflect steady enthusiasm.
SoundHound AI (NASDAQ:SOUN) sits near $7.98 with a $12.71 target, implying roughly 59% upside. Six Buys and two Holds, with Q2 revenue up 45% to $61.9 million.
BigBear.ai (NYSE:BBAI) trades near $3.26 against a $4 consensus, or about 23% upside. Coverage is thin at one Buy and two Holds.
Ives’ $15 call on C3.ai represents a wider gap than any peer average, signaling the market treats C3.ai as an execution story rather than a sector story.
The Data Behind a Bearish Consensus and a Bold Outlier C3.ai trades at $10.18 with a $8.82 consensus target across 14 analysts, meaning the average view implies roughly 13% downside. Ives’ $15 target drives the 50% upside narrative.
Shares are down 24.48% year to date while the S&P 500 has gained 14.07%, a staggering relative gap. Beta sits at 2.07, and Polymarket bettors put implied bankruptcy odds by year-end 2026 at 13.5%, down from a month earlier.
My Take: A Deep Value Bet on One Man’s Reputation The bull case strengthens if the Siebel-led restructuring shows quantifiable sales productivity gains within two quarters, federal bookings continue tracking at more than half of total, and Microsoft and AWS partner pipelines convert into recognized revenue. Ives’ $15 target requires that trajectory to materialize before FY2028.
The bear case builds if Q1 FY2027 misses the $50 million to $54 million guide, gross margin fails to recover from 22%, or class action litigation escalates. With free cash flow at negative $192 million and cash burn accelerating, patience has a cost.
The skeptical lean prevails. Siebel’s insider buy and blunt accountability are genuine positives, but the average analyst target sitting below the current price tells you where the weight of evidence rests. This is a turnaround bet, and the market is charging full price to take it.
Contact [email protected] for any questions or corrections.
PHINIA Inc. (NYSE: PHIN), a diversified, industrial supplier and global leader in the development of fuel systems, electrical systems, and aftermarket solutions
As enterprises race to adopt artificial intelligence (AI) solutions, investors must choose between specialized tool builders and established platform defenders. Choosing between C3.ai (AI -5.17%) and CrowdStrike (CRWD -0.05%) requires weighing massive growth potential against financial stability.
C3.ai provides a platform for building enterprise-scale AI applications, targeting industries such as energy and defense. CrowdStrike offers a unified security platform designed to stop data breaches using automated threat detection. Both companies sit at the intersection of high-growth software and the evolving demands of modern digital infrastructure.
The case for C3.aiC3.ai sells enterprise AI software designed to help large organizations deploy agentic AI and industry-specific applications. The company focuses heavily on sectors like manufacturing and oil and gas, maintaining a critical relationship with Shell. Customer concentration like this adds a layer of risk to the business, though it provides a stable foundation for testing new generative tools.
In fiscal 2026 (ending in April), revenue fell 35% to $250 million. The company reported a net loss of roughly $470 million during this period. This performance highlights the challenges of transitioning sales models while navigating a shifting landscape for tech stocks globally.
As for its balance sheet, the debt-to-equity ratio is approximately 0.0x, indicating no significant debt. The current ratio, which measures a company's ability to pay short-term obligations with short-term assets, is close to 6.6x. Free cash flow, or the cash left over after paying for operating activities and equipment, was negative $190.7 million.
The case for CrowdStrikeCrowdStrike operates the Falcon platform, a cloud-native solution that protects endpoints, identity, and data for global organizations. It relies on a vast network of partners, such as Grant Thornton Advisors, to deliver its security services. The company recently expanded its reach through a partnership with Cerebras to integrate more advanced security features into its platform.
In fiscal 2026 (ending in January), revenue reached nearly $4.8 billion, a growth of approximately 21.7% year over year. Despite the top-line expansion, the company reported a net loss of roughly $162.5 million, resulting in a net margin of roughly-3.4%. Net margin measures the percentage of revenue that remains as profit after all expenses are paid.
As for its balance sheet, the debt-to-equity ratio is roughly 0.2x. The current ratio is approximately 1.8x, suggesting the company maintains sufficient liquidity to cover its immediate debts.
While net income was negative, CrowdStrike generated positive free cash flow of $1.3 billion last year. However, note that stock-based compensation (SBC) accounted for roughly 68.0% of operating cash flow, inflating reported cash generation, as SBC is a non-cash expense added back in the cash flow statement.
Risk profile comparisonC3.ai faces significant hurdles, including a history of net losses. The company depends heavily on strategic partners like Amazon, Microsoft, and Alphabet to host and distribute its software. It also manages long and unpredictable sales cycles, which can create volatility in quarterly results.
CrowdStrike continues to manage the fallout from the July 19, 2024, service incident, which resulted in litigation and potential brand damage. It faces intense competition from large vendors such as Microsoft, which offer integrated security suites. Furthermore, the company relies on third-party cloud providers, specifically Amazon, for its platform infrastructure.
Valuation comparisonC3.ai appears much cheaper when looking at its P/S ratio, which compares market value to annual revenue. But CrowdStrike’s higher Forward P/E reveals higher growth expectations for the cybersecurity leader.
MetricC3.aiCrowdStrikeForward P/E25.6x174.2xP/S ratio6.2x45.4xValuation metrics sourced from Financial Modeling Prep (FMP) and may differ from other data providers.
Investors have a clear choice between a relatively small AI software provider reporting significant losses and a cybersecurity leader generating growing free cash flow.
C3.ai reported a 35% decline in revenue last year, prompting management to initiate a restructuring plan to stabilize the business. This reveals a lack of competitiveness in a rapidly growing market for AI services.
Meanwhile, CrowdStrike is showing steadily growing revenue and free cash flow. As more enterprises adopt AI and use cloud services, there is a greater need for strict security measures to protect sensitive data from breaches and other malicious cyber threats.
The main issue in buying CrowdStrike is the high valuation. The stock has more than doubled from its April lows and currently trades at a nosebleed multiple of forward earnings estimates.
Still, given the choice between these two stocks, I would rather invest in a growing industry leader (CrowdStrike) than take a chance on an unprofitable business that is struggling to grow revenue.
[url="]Veritone, Inc.[/url] (NASDAQ: VERI), a leader in enterprise AI and data solutions, and ZeroEyes, the creators of a leading multi-analytics weapons detect
C3.ai, Inc. (AI - Free Report) closed the most recent trading day at $10.63, moving +2.21% from the previous trading session. The stock's change was more than the S&P 500's daily loss of 0.32%. Elsewhere, the Dow lost 0.34%, while the tech-heavy Nasdaq lost 0.6%.
Coming into today, shares of the company had gained 13.54% in the past month. In that same time, the Computer and Technology sector gained 0.32%, while the S&P 500 gained 2.46%.
Investors will be eagerly watching for the performance of C3.ai, Inc. in its upcoming earnings disclosure. The company is expected to report EPS of -$0.26, up 29.73% from the prior-year quarter. Meanwhile, the latest consensus estimate predicts the revenue to be $51.46 million, indicating a 26.76% decrease compared to the same quarter of the previous year.
For the entire fiscal year, the Zacks Consensus Estimates are projecting earnings of -$0.82 per share and a revenue of $221.58 million, representing changes of +39.26% and -11.46%, respectively, from the prior year.
Investors should also note any recent changes to analyst estimates for C3.ai, Inc. Such recent modifications usually signify the changing landscape of near-term business trends. As a result, we can interpret positive estimate revisions as a good sign for the business outlook.
Our research reveals that these estimate alterations are directly linked with the stock price performance in the near future. 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, which varies between #1 (Strong Buy) and #5 (Strong Sell), carries an impressive track record of exceeding expectations, confirmed by external audits, with stocks at #1 delivering an average annual return of +25% since 1988. Over the last 30 days, the Zacks Consensus EPS estimate has remained unchanged. C3.ai, Inc. is currently sporting a Zacks Rank of #3 (Hold).
The Computers - IT Services industry is part of the Computer and Technology sector. This group has a Zacks Industry Rank of 107, putting it in the top 44% of all 250+ industries.
The strength of our individual industry groups is measured by the Zacks Industry Rank, which is calculated based on the average Zacks Rank of the individual stocks within these 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.
Hitesh Lath, Chief Financial Officer of C3.ai, Inc. (AI +2.21%), executed a sale of 20,000 shares of Class A Common Stock on Aug. 4, 2026. SEC Form 4 filing
Transaction summaryMetricValueShares sold (Directly held)20,000Transaction value$200,000Post-transaction shares (directly held)363,106Post-transaction value~$3.65 millionTransaction value based on SEC Form 4 weighted average sale price ($10.00); post-transaction value based on Aug. 4, 2026 market close ($10.05).
Key questionsWhat was the structural nature of this transaction?
This was an open-market sale of Class A Common Stock executed in multiple transactions between $10 and $10.015 per share. The sale was executed via a Rule 10b5-1 trading plan, which allows insiders to set up a predetermined schedule for selling stock to avoid concerns about material non-public information.How has the stock performed leading up to this disclosure?
As of the Aug. 4, 2026, transaction date, the stock had experienced a one-year return of -57%. Shares were priced at $9.91 as of the Aug. 5, 2026, market close.What is the broader context of insider equity at the company?
Lath maintains a direct position of 363,106 shares, and no indirect holdings were reported in this filing. Total insider ownership for the company is approximately 0.24% of shares outstanding.Company OverviewMetricValueShare Price (as of market close 2026-08-05)$9.91Market Capitalization$1.50 billionRevenue (TTM)$250.3 millionNet Income (TTM)-$470.4 millionCompany SnapshotC3.ai develops and delivers enterprise artificial intelligence (AI) software solutions, including the C3 AI Application Platform for building and deploying AI applications at scale, as well as specialized tools such as C3 AI Ex Machina for data preparation and C3 AI CRM for customer relationship management.The company operates a software-as-a-service (SaaS) business model, generating revenue through subscription licenses, professional services, and implementation support for its AI platform offerings across global enterprise customers.C3.ai serves large enterprises and organizations across North America, Europe, the Middle East, Africa, and the Asia-Pacific region, targeting customers seeking to deploy AI solutions to drive operational efficiency and digital transformation.
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C3.ai is a leading provider of enterprise AI software solutions with a global footprint spanning multiple continents and a customer base of large-scale organizations.
The company has 764 employees and generated $250.3 million in trailing twelve months (TTM) revenue, positioning it as a significant player in the enterprise AI software market.
C3.ai's competitive advantage stems from its comprehensive AI platform architecture and specialized tools that accelerate enterprise AI adoption and deployment at scale.
What this transaction means for investorsDespite the stock’s 57% drop over the last year, this sale shouldn’t concern investors. It was completed under a Rule 10b5-1 plan, which insiders often use to execute pre-planned transactions to avoid the appearance of acting on material non-public information. Lath still retains a significant stake in the company worth about $3.6 million.
Still, investors may want to tread cautiously before bottom-fishing the stock. C3.ai’s TTM revenue fell nearly 36% year over year through the April-ending fiscal year. The company’s operating loss also widened to $498 million from $324 million in the previous fiscal year.
Management blames poor execution and sales discipline for the company’s recent performance. It announced a major restructuring, including a 35% reduction in employees.
With sales falling and the business needing a major overhaul to turn around, the stock will remain volatile and may hit new lows before a potential rebound.
John Ballard has no position in any of the stocks mentioned. The Motley Fool recommends C3.ai. The Motley Fool has a disclosure policy.
The enterprise software landscape is shifting as generative artificial intelligence moves from hype to integration. Choosing between a pure-play AI pioneer like C3.ai (AI +0.72%) and an established titan like Salesforce (CRM -0.38%) requires balancing high-growth potential against stable profitability.
C3.ai provides a platform for building enterprise-scale AI applications across various industries, while Salesforce leads the global market for customer relationship management (CRM) software. Although both companies are now leaning heavily into agentic AI to automate business tasks, they offer very different financial profiles and risk levels for everyday investors.
The case for C3.aiC3.ai offers a specialized platform for organizations to build and deploy artificial intelligence applications. The company focuses on the tech stocks sector by serving industries like financial services, telecommunications, and healthcare. It maintains strategic partnerships with major cloud providers such as Microsoft. Since a significant portion of revenue comes from a small group of sales partners, such as Baker Hughes, this reliance adds a layer of risk to the business.
In its 2026 fiscal year (FY) ended April 30, revenue reached $250.3 million, which represented a decrease of 35.7% from the prior year. This revenue contraction contributed to a net loss of $470.4 million for the period. The company reported a negative net margin of 187.9%, indicating that expenses significantly exceeded total sales during this fiscal cycle. This trend highlights the challenges the company faces in reaching consistent profitability.
Based on the April 2026 balance sheet, the current ratio is 6.6x. The current ratio measures a company's ability to pay short-term obligations with assets that can be converted to cash within a year. C3.ai has a debt-to-equity ratio of zero, meaning it carries no significant total debt relative to the value owned by shareholders. Free cash flow, which is the cash a company generates after accounting for capital expenditures, was a negative $190.7 million in FY 2026.
The case for SalesforceSalesforce remains a dominant force in the enterprise software market through its Customer 360 platform and its new Agentforce AI tools. The company has aggressively expanded its capabilities through acquisitions, including the $3.6 billion purchase of Fin to improve its AI automated service offerings. Its customer base is vast, spanning industries from manufacturing to government. Major strategic moves in early 2026 included completing the acquisition of Qualified.com to boost its marketing automation suite.
For FY 2026 ended Jan. 31, Salesforce generated revenue of $41.5 billion, reflecting growth of 9.6% year over year. The company achieved a net income of $7.5 billion, resulting in a net margin of 18%. This indicates that the company is successfully converting a significant portion of its sales into profit after all expenses are paid. Net income grew steadily compared to previous years, supported by a focus on operational discipline.
According to its January 2026 balance sheet, the debt-to-equity ratio is 0.3x. This ratio compares total debt to shareholder equity to show how much a company is using borrowed money to fund its operations. The current ratio is 0.8x, and the company generated a healthy free cash flow of $14.4 billion in FY 2026. Note that stock-based compensation (SBC) represented 23.4% of operating cash flow, which inflates reported cash generation since SBC is a non-cash expense added back in the cash flow statement.
Risk profile comparisonC3.ai faces substantial financial pressure, having accumulated a deficit of $1.8 billion as of April 2026. The company relies on a limited number of high-value partners, and any failure to renew these deals could materially hurt its top line. It also faces intense competition in the AI software space. Furthermore, the company must navigate complex global regulations regarding data privacy and the EU AI Act.
Salesforce deals with operational risks related to potential security breaches across its vast cloud infrastructure. The integration of large acquisitions like Informatica and Fin presents significant challenges for management. The company also faces stiff competition from Microsoft and various startups that are native to the artificial intelligence era. Additionally, Salesforce carries roughly $6 billion in debt specifically related to its Informatica acquisition, which could impact financial stability during macroeconomic downturns.
Valuation comparisonSalesforce currently trades at a lower valuation multiple than C3.ai when looking at future earnings estimates, suggesting a more conservative price for its current growth.
MetricC3.aiSalesforceForward P/E25.6x13.6xP/S ratio6.2x3.8xValuation metrics sourced from Financial Modeling Prep (FMP) and may differ from other data providers.
The rise of artificial intelligence created an opening for C3.ai and Salesforce to capitalize on this rapidly expanding market. At the same time, both experienced share price declines in 2026, creating a potential buy opportunity.
C3.ai’s revenue floundered after CEO Thomas Siebel resigned from the position due to health issues. The company announced his return in June, as it posted fiscal fourth quarter sales of $51.6 million, a substantial drop from the prior year’s $108.7 million. Whether Siebel can turn C3.ai around won’t be known until subsequent earnings reports. This uncertainty and Salesforce’s lower share price valuation point to the CRM giant as the better stock to buy right now.
Salesforce’s stock fell in 2026 due to Wall Street’s concerns that AI automation will take business away from the company. Yet in its fiscal first quarter ended April 30, its revenue rose 13% year over year to $11.1 billion, and this growth suggests its business remains strong amid the AI boom. In fact, annual recurring revenue for its Agentforce AI and Data 360 products hit $3.4 billion in the quarter, up over 200% year over year in a sign of robust customer adoption.
With Salesforce’s business doing well along with its healthier financials while C3.ai is struggling, from my perspective, Salesforce is clearly the better investment.
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Ambiq Micro, Inc. (âAmbiqâ) (NYSE: AMBQ), a technology leader in ultra-low-power semiconductor solutions for edge AI, today announced financial results for
REDWOOD CITY, Calif.--(BUSINESS WIRE)--C3 AI (NYSE: AI), the Enterprise AI application software company, announced it was recognized as a Leader by Forrester Research in its recent report, The Forrester Wave™: AI Platforms, Q3 2026 — with the highest score in the current offering category of all 15 providers evaluated. Forrester evaluated the C3 Agentic AI Platform, the end-to-end platform for developing, deploying, and operating Enterprise AI applications and agents. It models the entire enter.
Agentic AI software names are moving together this Friday afternoon, and the leaderboard looks like a mirror image of Monday’s session. Palantir (NASDAQ:PLTR | PLTR Price Prediction) stock is surging 10% to $170.76 midday, while UiPath (NYSE:PATH) shares are climbing 7% to $14.93 and C3.ai (NYSE:AI) shares are rallying 5% to $10.43.
The iShares Expanded Tech-Software Sector ETF (CBOE:IGV) is up 3% to $102.24, confirming that the bid extends well beyond the three headline names. The rotation caps a notable week for the group, given that C3.ai and UiPath sat out Monday’s initial move higher on Palantir’s Q2 blowout. Could this be the start of a bigger rally for agentic AI stocks?
Bank of America Fuels the Palantir Leg The proximate catalyst for Palantir today is a Bank of America (NYSE:BAC) note reiterating a Buy rating and raising its price target to $255, implying 50% upside. Analysts pointed to Palantir’s AI strategy, expanding U.S. commercial book, deep customer partnerships, outcome-based pricing, and growing role in sovereign AI.
Some of the intraday velocity in Palantir stock also appears to reflect short covering after this week’s strong Q2 2026 report and raised full-year guide. The company has continued to expand its federal and defense footprint, reinforcing the sovereign-AI thesis that Bank of America leaned on.
Palantir Technologies CEO Alex Karp framed the quarter in language that has clearly landed with sell-side desks, stating, “Demand for AI sovereignty has now been unleashed.” That’s the phrase Wall Street is now using to justify higher multiples on the name.
Sympathy Bid for UiPath and C3.ai There’s no materially impactful company-specific news out of UiPath or C3.ai today. Both are rising in sympathy as the agentic-AI cohort re-rates, after being conspicuously absent from Monday’s move.
UiPath has its own credible agentic AI narrative underneath the tape, with CEO Daniel Dines recently asserting that “agentic products are moving from pilot to production, with customers standardizing on UiPath as the orchestration and automation execution layer for their enterprise AI transformation.” C3.ai is a different animal, still deep in a turnaround under returning founder-CEO Thomas Siebel and not yet profitable.
The IGV move suggests the buying is not isolated to these three tickers. The ETF’s 8% one-week gain hints at broad software-sector participation, though its concentrated top-heavy structure means a handful of mega-cap software names typically do most of the work.
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The Valuation Dispersion Is Real Investors piling in today may want to note how wide the quality and valuation spread runs across this trio. Palantir trades at a trailing 12-month P/E ratio of 146.08x, which is priced for near-perfection execution on the sovereign AI thesis.
UiPath, by contrast, carries a far more digestible trailing 12-month P/E ratio of 24.79x, offering exposure to the same secular theme at a fraction of the multiple. C3.ai has no trailing 12-month P/E because it is unprofitable on that time frame, so today’s move is essentially a sentiment trade rather than an earnings-based rerating.
The bull case on Palantir stock is that operational AI, outcome-based pricing, and government mindshare compound faster than the multiple compresses. The bear case is straightforward: at 146.08x trailing earnings, any misstep can trigger sharp drawdowns, and insider selling has been active into strength.
What to Watch Now Traders can watch for whether Palantir stock holds the round-number zone above $170 into Friday’s close, since a soft finish would undercut the Bank of America-driven momentum narrative. Follow-through in UiPath and C3.ai on Monday could help clarify whether today’s move is a genuine group rotation or a one-day sympathy pop.
The IGV tape is the tell. If the software ETF keeps advancing next week, this rally has legs beyond Palantir’s headline.
Given the valuation dispersion, position sizing matters here. Investors sizing new exposure to Palantir stock at these multiples should treat it accordingly. Meanwhile, investors looking for cheaper agentic AI exposure could seek out assets trading at a lower multiple.
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[url="]Cognyte Software Ltd.[/url] (NASDAQ: CGNT), a global leader in AI-powered investigative analytics solutions, today announced a new three-year subscriptio
In the latest close session, C3.ai, Inc. (AI - Free Report) was down 1.39% at $9.91. The stock's performance was behind the S&P 500's daily loss of 0.17%. Meanwhile, the Dow gained 0.49%, and the Nasdaq, a tech-heavy index, lost 0.83%.
The stock of company has risen by 12.54% in the past month, leading the Computer and Technology sector's gain of 3.01% and the S&P 500's gain of 3.52%.
The investment community will be closely monitoring the performance of C3.ai, Inc. in its forthcoming earnings report. It is anticipated that the company will report an EPS of -$0.26, marking a 29.73% rise compared to the same quarter of the previous year. Alongside, our most recent consensus estimate is anticipating revenue of $51.46 million, indicating a 26.76% downward movement from the same quarter last year.
For the entire fiscal year, the Zacks Consensus Estimates are projecting earnings of -$0.82 per share and a revenue of $221.58 million, representing changes of +39.26% and -27.92%, respectively, from the prior year.
It's also important for investors to be aware of any recent modifications to analyst estimates for C3.ai, Inc. Such recent modifications usually signify the changing landscape of near-term business trends. As such, positive estimate revisions reflect analyst optimism about the business and profitability.
Our research shows that these estimate changes are directly correlated with near-term stock prices. To exploit this, we've formed the Zacks Rank, a quantitative model that includes these estimate changes and presents a viable rating system.
The Zacks Rank system, which varies between #1 (Strong Buy) and #5 (Strong Sell), carries an impressive track record of exceeding expectations, confirmed by external audits, with stocks at #1 delivering an average annual return of +25% since 1988. The Zacks Consensus EPS estimate remained stagnant within the past month. C3.ai, Inc. presently features a Zacks Rank of #3 (Hold).
The Computers - IT Services industry is part of the Computer and Technology sector. This industry currently has a Zacks Industry Rank of 154, which puts it in the bottom 38% of all 250+ industries.
The Zacks Industry Rank assesses the strength of our separate industry groups by calculating the average Zacks Rank of the individual stocks contained within the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.
Ensure to harness Zacks.com to stay updated with all these stock-shifting metrics, among others, in the next trading sessions.
REDWOOD CITY, Calif.--(BUSINESS WIRE)--C3 AI (“C3.ai, Inc.” or the “Company”) (NYSE: AI), the Enterprise AI application software company, today announced that it granted an equity award under its 2025 Inducement Plan (the “Inducement Plan”) to Tom MacMitchell, the Company’s Senior Vice President and General Counsel, who recently joined the Company.
Effective July 30, 2026, C3 AI’s Compensation Committee of the Board of Directors approved a restricted stock unit award covering 826,901 shares of C3 AI's Class A common stock (the “RSU Award”). Such award was granted as a material inducement in accordance with the employment inducement award exemption under the NYSE Listed Company Manual Section 303A.08.
The RSU Award will vest over a five-year term in accordance with the following schedule: subject to continued service, 165,380 RSUs will vest on the date twelve months following the July 27, 2026, vesting commencement date, with the remaining RSUs vesting in equal quarterly installments thereafter until the award is fully vested. Further, the RSU Award is subject to double-trigger acceleration: if a corporate transaction or change in control of the Company occurs during his employment and, within 36 months thereafter, he resigns for constructive termination or is terminated other than for cause, death or disability, any unvested portion of the award will accelerate in full, subject to his satisfaction of certain severance conditions, including a release of claims.
The RSU Award is subject to the terms and conditions of the Inducement Plan and the terms and conditions of a restricted stock unit award agreement covering the award.
About C3 AI
C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.
[url="]Cognyte Software Ltd[/url]. (NASDAQ: CGNT) (âCognyteâ), a global leader in investigative analytics software, today announced its membership in the Gl
Upstart Holdings, Inc. (NASDAQ: UPST), the leading artificial intelligence (AI) lending marketplace, today published its monthly origination volume for July 202
In the latest trading session, C3.ai, Inc. (AI - Free Report) closed at $9.07, marking a +2.49% move from the previous day. The stock's performance was ahead of the S&P 500's daily gain of 1.66%. Elsewhere, the Dow gained 1.19%, while the tech-heavy Nasdaq added 2.78%.
Prior to today's trading, shares of the company had lost 6.15% was narrower than the Computer and Technology sector's loss of 7.65% and lagged the S&P 500's loss of 1.49%.
The upcoming earnings release of C3.ai, Inc. will be of great interest to investors. The company's earnings per share (EPS) are projected to be -$0.26, reflecting a 29.73% increase from the same quarter last year. Meanwhile, the Zacks Consensus Estimate for revenue is projecting net sales of $51.46 million, down 26.76% from the year-ago period.
In terms of the entire fiscal year, the Zacks Consensus Estimates predict earnings of -$0.82 per share and a revenue of $221.58 million, indicating changes of +39.26% and -11.46%, respectively, from the former year.
Additionally, investors should keep an eye on any recent revisions to analyst forecasts for C3.ai, Inc. 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.
Our research demonstrates that these adjustments in estimates directly associate with imminent stock price performance. To exploit this, we've formed the Zacks Rank, a quantitative model that includes these estimate changes and presents a viable rating system.
The Zacks Rank system ranges from #1 (Strong Buy) to #5 (Strong Sell). It has a remarkable, outside-audited track record of success, with #1 stocks delivering an average annual return of +25% since 1988. Within the past 30 days, our consensus EPS projection remained stagnant. Currently, C3.ai, Inc. is carrying a Zacks Rank of #3 (Hold).
The Computers - IT Services industry is part of the Computer and Technology sector. This industry, currently bearing a Zacks Industry Rank of 82, finds itself in the top 34% echelons of all 250+ industries.
The Zacks Industry Rank gauges the strength of our 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.
You can find more information on all of these metrics, and much more, on Zacks.com.
The Hackett Group, Inc. (NASDAQ: HCKT), an ROI-led AI transformation firm, today announced findings from both its North America and European 2026 SG&A Cost Study and Scorecard, revealing that the next generation of profitable growth will be driven less by economic conditions and more by AI-enabled operating models. The average costs of selling, general and administrative (SG&A) functions climbed to their highest levels in five years across both regions, exposing a widening gap between organizations that are improving productivity through artificial intelligence (AI) and those relying on traditional cost-management approaches. This was against a background of stronger revenue growth and moderating inflation.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260727403902/en/
The Hackett Group® compared fiscal year 2025 and fiscal year 2024 financial performance of the1,000 largest nonfinancial services companies in Europe to identify the degree to which organizations are optimizing SG&A costs. The analysis segmented companies into four groups based on their year-on-year cost changes: "cost cutters," "inflation beaters," "ratio managers," and "cost growers."Both North American and European companies experienced year-over-year revenue growth and were helped by a dip in the rate of inflation, yet most companies are still "cost growers," meaning their SG&A costs as a percentage of revenue increased.
Among the 1,000 largest publicly traded companies analyzed in each region, median SG&A costs rose to 16.2% of revenue in North America and 13.4% in Europe. Revenue growth accelerated to 4.4% in North America and 6.5% in Europe during 2025, yet many organizations continued to struggle to translate growth into sustainable operating leverage.
While fewer organizations experienced worsening SG&A performance than the previous year, much of the improvement reflected stronger revenue growth rather than fundamental gains in productivity. In North America, the share of companies whose SG&A costs grew faster than revenue declined from 62.0% to 51.6%, while in Europe it fell from 62.5% to 53.6%. The findings show that relatively few organizations have fundamentally improved the productivity and scalability of their operating models.
“Economic recovery improved financial results, but it didn’t fundamentally change how organizations operate,” said Thomas Kellaway, principal at The Hackett Group®. “The next generation of profitable growth will come from AI-enabled operating models that increase productivity, scale more efficiently and strengthen operating leverage.”
A widening operational leverage gap
The gap between leading organizations and median companies continued to widen across both regions. In North America, first-quartile companies operated with SG&A costs equal to 7.8% of revenue, compared to 16.2% for the median – an 8.4-percentage-point advantage between first-quartile and median companies. In Europe, first-quartile companies reported SG&A costs of 6.1% of revenue versus 13.4% for the median – a 7.3-percentage-point advantage.
The research also highlights a growing scalability challenge. Many companies generated only a narrow margin between revenue growth and SG&A cost growth, leaving them increasingly vulnerable if market conditions weaken. The widening gap between leading and median performance suggests that relatively few organizations have built the productivity and scalability needed to create sustainable operating leverage through AI-enabled operating models.
AI is reshaping SG&A economics
When embedded into core business processes, AI is helping organizations improve productivity, scale more efficiently, and create structural SG&A cost advantages. For a typical $10 billion company, achieving Digital World Class® performance across SG&A functions represents approximately $286 million in annual cost advantage. Across finance, human resources, information technology and procurement alone, the potential annual cost advantage approaches $85 million.
Leading organizations are investing accordingly. Digital World Class® technology organizations allocate three times more of their technology spending to AI, intelligent automation and other emerging technologies than their peers, creating the productivity and scalability advantages that drive long-term operating leverage.
The Hackett Group® expects the performance gap between AI World Class organizations and typical companies to widen by up to 75% in the near term as leaders embed AI into core business processes.
How AI is transforming SG&A performance
The research highlights several examples of how AI, Gen AI and agentic AI are already transforming critical SG&A processes, including:
Contract intelligence: 30%-50% faster milestone payment processing and 30%-40% faster change-order cyclesAutonomous financial close: close cycles accelerated by 2-3 days with 40%-60% better commentary quality and consistencyAI-powered compliance: 70%-80% faster policy lookup, 50%-60% fewer policy interpretation errors and always-on compliance guidanceCollectively, these examples demonstrate AI’s potential to reduce costs, improve productivity and free employees to focus on higher-value work.
Priorities for building AI-enabled SG&A performance
Based on the findings, The Hackett Group® identified six priorities for organizations seeking to improve SG&A performance, including:
Map end-to-end processesSimplify and standardize workEmbed AI into core operationsMeasure return on AI investmentsDevelop AI-ready talentStrengthen strategic sourcing"The next competitive advantage will not be determined by rates of AI adoption," said Murray Shevlin, principal at The Hackett Group®. "It will come from redesigning end-to-end processes, so AI delivers measurable gains in productivity, operating leverage and profitable growth.
About the research
The North America SG&A Cost Study and Scorecard analyzed the financial performance of the 1,000 largest publicly traded nonfinancial services companies headquartered in North America. The European SG&A Cost Study and Scorecard analyzed the financial performance of the 1,000 largest publicly traded nonfinancial services companies headquartered in Europe. Both studies examined fiscal year 2025 financial results.
Download the North America SG&A Cost Study and Scorecard and the European SG&A Cost Study and Scorecard for full insights.
About The Hackett Group®
The Hackett Group, Inc. (NASDAQ: HCKT) is an ROI-led, AI enterprise transformation firm that helps clients enable AI world-class performance. Its experts and engineers leverage proprietary AI delivery platforms – Hackett AI XPLR™, ZBrain™, XT™, AIXelerator™ and AskHackett™ – to accelerate and enhance the delivery of the company’s solutions and services.
The AI platforms are powered by the company’s domain-specific Hackett Solution Language Model informed by Hackett Process and Performance Intelligence – including Digital World Class® benchmark metrics, best-practice process flows and service delivery model solution frameworks, which accelerate and enhance the delivery of its services. The Hackett Group’s proprietary insights are based on benchmarking results from leading global organizations, including 98% of Dow Jones Global Titans, 97% of the Dow Jones Industrials and 90% of the Fortune 100. Visit www.thehackettgroup.com
Trademarks
The Hackett Group®, quadrant logo, and Digital World Class® are the registered marks of The Hackett Group®.
This release contains “forward-looking” statements within the meaning of Section 27A of the Securities Act of 1933 as amended and Section 21E of the Securities Exchange Act of 1934, as amended. Statements including without limitation, words such as “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” or other similar phrases or variations of such words or similar expressions indicating, present or future anticipated or expected occurrences or outcomes are intended to identify such forward-looking statements. Forward-looking statements are not statements of historical fact and involve known and unknown risks, uncertainties and other factors that may cause the Company’s actual results, performance or achievements to be materially different from the results, performance or achievements expressed or implied by the forward-looking statements. Factors that may impact such forward-looking statements include without limitation, the ability of The Hackett Group® to effectively market its digital transformation services, our ability to transition our capabilities to support generative artificial intelligence (AI)-related consulting services and solutions and other consulting services, our ability to effectively integrate acquisitions into our operations, our ability to manage joint ventures and successfully cooperate with our joint venture partners, competition from other consulting and technology companies that may have or develop in the future, similar offerings, the commercial viability of The Hackett Group® and its services as well as other risk detailed in The Hackett Group’s reports filed with the United States Securities and Exchange Commission. The Hackett Group® does not undertake any duty to update this release or any forward-looking statements contained herein.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260727403902/en/
C3.ai, Inc. (AI - Free Report) has recently been on Zacks.com's list of the most searched stocks. Therefore, you might want to consider some of the key factors that could influence the stock's performance in the near future.
Shares of this company have returned -6.9% over the past month versus the Zacks S&P 500 composite's +0.6% change. The Zacks Computers - IT Services industry, to which C3.ai belongs, has lost 0.9% over this period. Now the key question is: Where could the stock be headed in the near term?
While media releases or rumors about a substantial change in a company's business prospects usually make its stock 'trending' and lead to an immediate price change, there are always some fundamental facts that eventually dominate the buy-and-hold decision-making.
Revisions to Earnings EstimatesRather than focusing on anything else, we at Zacks prioritize evaluating the change in a company's earnings projection. This is because we believe the fair value for its stock is determined by the present value of its future stream of earnings.
We essentially look at how sell-side analysts covering the stock are revising their earnings estimates to reflect the impact of the latest business trends. And if earnings estimates go up for a company, the fair value for its stock goes up. A higher fair value than the current market price drives investors' interest in buying the stock, leading to its price moving higher. This is why empirical research shows a strong correlation between trends in earnings estimate revisions and near-term stock price movements.
For the current quarter, C3.ai is expected to post a loss of $0.26 per share, indicating a change of +29.7% from the year-ago quarter. The Zacks Consensus Estimate remained unchanged over the last 30 days.
For the current fiscal year, the consensus earnings estimate of -$0.82 points to a change of +39.3% from the prior year. Over the last 30 days, this estimate has remained unchanged.
For the next fiscal year, the consensus earnings estimate of $0.5 indicates a change of +39.8% from what C3.ai is expected to report a year ago. Over the past month, the estimate has remained unchanged.
Having a strong externally audited track record, our proprietary stock rating tool, the Zacks Rank, offers a more conclusive picture of a stock's price direction in the near term, since it effectively harnesses the power of earnings estimate revisions. Due to the size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, C3.ai is rated Zacks Rank #3 (Hold).
The chart below shows the evolution of the company's forward 12-month consensus EPS estimate:
12 Month EPS
Projected Revenue GrowthWhile earnings growth is arguably the most superior indicator of a company's financial health, nothing happens as such if a business isn't able to grow its revenues. After all, it's nearly impossible for a company to increase its earnings for an extended period without increasing its revenues. So, it's important to know a company's potential revenue growth.
For C3.ai, the consensus sales estimate for the current quarter of $51.46 million indicates a year-over-year change of -26.8%. For the current and next fiscal years, $221.58 million and $240.78 million estimates indicate -11.5% and +8.7% changes, respectively.
Last Reported Results and Surprise HistoryC3.ai reported revenues of $51.6 million in the last reported quarter, representing a year-over-year change of -52.5%. EPS of -$0.33 for the same period compares with -$0.16 a year ago.
Compared to the Zacks Consensus Estimate of $49.75 million, the reported revenues represent a surprise of +3.72%. The EPS surprise was +13.16%.
Over the last four quarters, C3.ai surpassed consensus EPS estimates three times. The company topped consensus revenue estimates two times over this period.
ValuationNo investment decision can be efficient without considering a stock's valuation. Whether a stock's current price rightly reflects the intrinsic value of the underlying business and the company's growth prospects is an essential determinant of its future price performance.
While comparing the current values of a company's valuation multiples, such as price-to-earnings (P/E), price-to-sales (P/S), and price-to-cash flow (P/CF), with its own historical values helps determine whether its stock is fairly valued, overvalued, or undervalued, comparing the company relative to its peers on these parameters gives a good sense of the reasonability of the stock's price.
The Zacks Value Style Score (part of the Zacks Style Scores system), which pays close attention to both traditional and unconventional valuation metrics to grade stocks from A to F (an A is better than a B; a B is better than a C; and so on), is pretty helpful in identifying whether a stock is overvalued, rightly valued, or temporarily undervalued.
C3.ai is graded F on this front, indicating that it is trading at a premium to its peers. Click here to see the values of some of the valuation metrics that have driven this grade.
Bottom LineThe facts discussed here and much other information on Zacks.com might help determine whether or not it's worthwhile paying attention to the market buzz about C3.ai. However, its Zacks Rank #3 does suggest that it may perform in line with the broader market in the near term.