C3.ai (AI)
Market Price (5/6/2026): $9.62 | Market Cap: $1.4 BilSector: Information Technology | Industry: Technology Hardware, Storage & Peripherals
C3.ai (AI)
Market Price (5/6/2026): $9.62Market Cap: $1.4 BilSector: Information TechnologyIndustry: Technology Hardware, Storage & Peripherals
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Cash is significant % of market capNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -45% Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -35% Megatrend and thematic driversMegatrends include Artificial Intelligence, and Cloud Computing. Themes include AI Software Platforms, Software as a Service (SaaS), Show more. | Weak multi-year price returns2Y Excs Rtn is -104%, 3Y Excs Rtn is -125% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -466 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -152% Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -16%, Rev Chg QQuarterly Revenue Change % is -46% Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 87% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -41%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -41% Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -36% Significant short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 31% Key risksAI key risks include [1] persistent unprofitability and a high cash burn rate, Show more. |
| Cash is significant % of market capNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -45% |
| Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -35% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, and Cloud Computing. Themes include AI Software Platforms, Software as a Service (SaaS), Show more. |
| Weak multi-year price returns2Y Excs Rtn is -104%, 3Y Excs Rtn is -125% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -466 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -152% |
| Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -16%, Rev Chg QQuarterly Revenue Change % is -46% |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 87% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -41%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -41% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -36% |
| Significant short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 31% |
| Key risksAI key risks include [1] persistent unprofitability and a high cash burn rate, Show more. |
Qualitative Assessment
AI Analysis | Feedback
1. Weaker-than-expected Q3 FY2026 financial results and guidance led to a significant stock decline. C3.ai reported a GAAP net loss per share of $(0.40) for its fiscal third quarter ended January 31, 2026, missing consensus analyst estimates of $(0.29). The company's revenue for the quarter was $53.3 million, falling short of analyst expectations of $75.91 million by approximately 30% and representing a 46.1% year-over-year decrease. Following this announcement on February 25, 2026, C3.ai shares fell 10.4% in after-hours trading.
2. Widespread analyst downgrades and reduced price targets reflected diminished confidence. In the wake of the disappointing Q3 FY2026 earnings, numerous analyst firms revised their ratings and lowered price targets for C3.ai. For instance, on February 26, 2026, Wolfe Research reiterated an "underperform" rating with a $6.00 target price, Canaccord Genuity Group cut its target from $16.00 to $7.00 with a "hold" rating, and KeyCorp reduced its target from $10.00 to $6.00 with an "underweight" rating. The consensus analyst rating for C3.ai shifted to "Reduce" or "Neutral," with a median price target in the range of $9.00 to $11.92 by late April 2026.
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Stock Movement Drivers
Fundamental Drivers
The -12.6% change in AI stock from 1/31/2026 to 5/6/2026 was primarily driven by a -12.9% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 1312026 | 5062026 | Change |
|---|---|---|---|
| Stock Price ($) | 11.01 | 9.62 | -12.6% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 353 | 307 | -12.9% |
| P/S Multiple | 4.3 | 4.4 | 2.7% |
| Shares Outstanding (Mil) | 139 | 142 | -2.3% |
| Cumulative Contribution | -12.6% |
Market Drivers
1/31/2026 to 5/6/2026| Return | Correlation | |
|---|---|---|
| AI | -12.8% | |
| Market (SPY) | 3.6% | 49.0% |
| Sector (XLK) | 18.3% | 52.4% |
Fundamental Drivers
The -45.3% change in AI stock from 10/31/2025 to 5/6/2026 was primarily driven by a -30.5% change in the company's P/S Multiple.| (LTM values as of) | 10312025 | 5062026 | Change |
|---|---|---|---|
| Stock Price ($) | 17.58 | 9.62 | -45.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 372 | 307 | -17.4% |
| P/S Multiple | 6.4 | 4.4 | -30.5% |
| Shares Outstanding (Mil) | 135 | 142 | -4.6% |
| Cumulative Contribution | -45.3% |
Market Drivers
10/31/2025 to 5/6/2026| Return | Correlation | |
|---|---|---|
| AI | -45.4% | |
| Market (SPY) | 5.5% | 51.2% |
| Sector (XLK) | 13.4% | 54.7% |
Fundamental Drivers
The -56.3% change in AI stock from 4/30/2025 to 5/6/2026 was primarily driven by a -43.2% change in the company's P/S Multiple.| (LTM values as of) | 4302025 | 5062026 | Change |
|---|---|---|---|
| Stock Price ($) | 22.01 | 9.62 | -56.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 367 | 307 | -16.2% |
| P/S Multiple | 7.8 | 4.4 | -43.2% |
| Shares Outstanding (Mil) | 130 | 142 | -8.2% |
| Cumulative Contribution | -56.3% |
Market Drivers
4/30/2025 to 5/6/2026| Return | Correlation | |
|---|---|---|
| AI | -56.4% | |
| Market (SPY) | 30.4% | 47.6% |
| Sector (XLK) | 62.9% | 47.8% |
Fundamental Drivers
The -46.0% change in AI stock from 4/30/2023 to 5/6/2026 was primarily driven by a -40.0% change in the company's P/S Multiple.| (LTM values as of) | 4302023 | 5062026 | Change |
|---|---|---|---|
| Stock Price ($) | 17.82 | 9.62 | -46.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 267 | 307 | 15.3% |
| P/S Multiple | 7.4 | 4.4 | -40.0% |
| Shares Outstanding (Mil) | 111 | 142 | -22.0% |
| Cumulative Contribution | -46.0% |
Market Drivers
4/30/2023 to 5/6/2026| Return | Correlation | |
|---|---|---|
| AI | -46.1% | |
| Market (SPY) | 78.7% | 44.6% |
| Sector (XLK) | 130.2% | 43.7% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| AI Return | -77% | -64% | 157% | 20% | -61% | -30% | -93% |
| Peers Return | 22% | -54% | 90% | 83% | 25% | -24% | 86% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 6% | 93% |
Monthly Win Rates [3] | |||||||
| AI Win Rate | 33% | 33% | 50% | 42% | 33% | 60% | |
| Peers Win Rate | 53% | 30% | 60% | 55% | 50% | 28% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 60% | |
Max Drawdowns [4] | |||||||
| AI Max Drawdown | -79% | -67% | -3% | -29% | -63% | -42% | |
| Peers Max Drawdown | -22% | -59% | -7% | -18% | -27% | -36% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | -7% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: PLTR, SNOW, DDOG, NOW, CRM.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 5/6/2026 (YTD)
How Low Can It Go
| Event | AI | S&P 500 |
|---|---|---|
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -21.9% | -7.8% |
| % Gain to Breakeven | 28.0% | 8.5% |
| Time to Breakeven | 104 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -41.5% | -9.5% |
| % Gain to Breakeven | 70.8% | 10.5% |
| Time to Breakeven | 437 days | 24 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -18.4% | -6.7% |
| % Gain to Breakeven | 22.6% | 7.1% |
| Time to Breakeven | 13 days | 31 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -63.7% | -24.5% |
| % Gain to Breakeven | 175.8% | 32.4% |
| Time to Breakeven | 168 days | 427 days |
In The Past
C3.ai's stock fell -21.9% during the 2024 Yen Carry Trade Unwind. Such a loss loss requires a 28.0% gain to breakeven.
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| Event | AI | S&P 500 |
|---|---|---|
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -21.9% | -7.8% |
| % Gain to Breakeven | 28.0% | 8.5% |
| Time to Breakeven | 104 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -41.5% | -9.5% |
| % Gain to Breakeven | 70.8% | 10.5% |
| Time to Breakeven | 437 days | 24 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -63.7% | -24.5% |
| % Gain to Breakeven | 175.8% | 32.4% |
| Time to Breakeven | 168 days | 427 days |
In The Past
C3.ai's stock fell -21.9% during the 2024 Yen Carry Trade Unwind. Such a loss loss requires a 28.0% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
About C3.ai (AI)
AI Analysis | Feedback
Here are 1-3 brief analogies to describe C3.ai:
- SAP for enterprise AI.
- Salesforce for industrial and operational AI.
- Palantir for commercial enterprise AI solutions.
AI Analysis | Feedback
- C3 AI Suite: A platform-as-a-service (PaaS) for designing, developing, and deploying enterprise AI applications.
- C3 AI Ex Machina: A solution for preparing and analyzing data.
- C3 AI CRM: An AI-first customer relationship management solution for customer-facing operations.
- C3 AI Applications: A suite of integrated turnkey enterprise AI applications for various industry-specific functions, including Inventory Optimization, Supply Network Risk, Customer Churn Management, Production Schedule Optimization, Predictive Maintenance, Fraud Detection, and Energy Management.
AI Analysis | Feedback
Major Customers of C3.ai (AI)
C3.ai primarily sells its enterprise AI software applications to other companies (enterprises). Based on the provided information, C3.ai has strategic partnerships with several major corporations across various industries. While described as partnerships, for an enterprise software company, these often involve significant customer relationships where the partners either directly use C3.ai's solutions, integrate them into their offerings, or serve as major channels for C3.ai's products. The major companies identified through these strategic partnerships are:- Baker Hughes (BKR)
- FIS (FIS)
- Raytheon (RTX)
- Amazon Web Services (part of Amazon, AMZN)
- Intel (INTC)
- Microsoft (MSFT)
AI Analysis | Feedback
- Amazon (AMZN)
- Intel (INTC)
- Microsoft (MSFT)
AI Analysis | Feedback
Stephen Ehikian, Chief Executive Officer
Stephen Ehikian became the Chief Executive Officer of C3.ai effective September 1, 2025. He is a seasoned technology executive in the enterprise software industry. Prior to C3.ai, Mr. Ehikian successfully built and scaled two companies, RelateIQ and Airkit.ai, both of which were acquired by Salesforce. RelateIQ now underpins Salesforce Einstein, and Airkit.ai is a core component of Salesforce Agentforce. He also served as President Trump's appointee as Acting Administrator of the U.S. General Services Administration, where he led reforms in federal procurement and technology modernization and pioneered AI adoption.
Hitesh Lath, Senior Vice President and Chief Financial Officer
Hitesh Lath was appointed Chief Financial Officer of C3.ai, effective March 1, 2024. Before assuming the CFO role, he served as C3.ai's Vice President and Chief Accounting Officer from December 2023 to February 2024. Mr. Lath brings over 22 years of experience from EY, where he was most recently a partner in their San Jose, CA office, serving various technology clients from Fortune 100 companies to Silicon Valley startups.
Thomas M. Siebel, Executive Chairman
Thomas M. Siebel founded C3.ai in 2009 and served as its Chief Executive Officer and Chairman, leading the company from its inception through a successful initial public offering. He transitioned to the role of Executive Chairman in September 2025. Prior to C3.ai, Mr. Siebel founded and served as the Chief Executive Officer of Siebel Systems, which was a leader in application software before merging with Oracle Corporation in January 2006. Siebel Systems, founded in 1993, grew to have over 8,000 employees in 32 countries, more than 4,500 corporate customers, and annual revenue exceeding $2 billion. Mr. Siebel is also the chairman of First Virtual Group, a diversified holding company.
Edward Abbo, Executive Vice President and Chief Technology Officer
Edward Abbo has served as the Executive Vice President and Chief Technology Officer of C3.ai since July 2011. He previously held the position of Chief Executive Officer of C3.ai from September 2009 to July 2011. Mr. Abbo co-founded C3.ai with Thomas M. Siebel. Before joining C3.ai, he served as Senior Vice President of Engineering and Chief Technology Officer for Siebel Systems from July 1994 until its merger with Oracle Corporation in January 2006, and then as Senior Vice President of Oracle Corporation from January 2006 to July 2009.
Houman Behzadi, Executive Vice President and Chief Product Officer
Houman Behzadi has served as C3.ai's Chief Product Officer since October 2016. He previously served as Senior Vice President and Chief Product Officer, and prior to that, Senior Vice President of Products and Engineering and Vice President of Engineering at C3.ai. Before joining C3.ai, Mr. Behzadi held various leadership roles with Siebel Systems from January 2001 until its merger with Oracle Corporation in January 2006.
AI Analysis | Feedback
Here are the key risks to C3.ai:
- Challenges with Business Model Transition and Revenue Decline: C3.ai is undergoing a strategic shift from large, multi-year subscription contracts to a consumption-based pricing model, which has led to a significant year-over-year revenue decline, including a 46% drop in its fiscal third quarter 2026. This transition is fraught with execution risks, and analysts express concerns that the consumption-based model's adoption could be slower than projected, particularly if enterprise AI budgets remain constrained. The success of this fundamental business model change is critical for the company's future financial stability and growth.
- Intense Competition and Difficulty Achieving Profitability: The enterprise artificial intelligence market is highly competitive, with C3.ai facing established rivals such as IBM, Microsoft, Palantir, and Salesforce, which possess broader customer bases and stronger brand recognition. C3.ai has reported increasing net losses and concerns persist regarding its ability to achieve and maintain profitability given its high operating expenses and the struggle to capture significant market share against larger players.
- Customer Concentration Risk: C3.ai's revenue is substantially dependent on a limited number of customers, with a significant portion historically tied to the energy sector, including a major client like Baker Hughes. This concentration makes the company vulnerable to substantial revenue reductions if these key customer relationships are not maintained, if contracts are not renewed, or if there is a decline in spending from these major clients.
AI Analysis | Feedback
The primary clear emerging threat to C3.ai stems from the major hyperscale cloud providers, such as AWS, Microsoft Azure, and Google Cloud. While C3.ai partners with some of these companies, these same partners are rapidly expanding their own comprehensive enterprise AI/ML platforms and solutions. These cloud providers offer robust platform-as-a-service (PaaS) environments (e.g., AWS SageMaker, Azure ML, Google Vertex AI) that directly compete with C3.ai's C3 AI Suite for developing and deploying enterprise AI applications. Furthermore, they are increasingly offering pre-built, industry-specific AI applications and services that could diminish the need for specialized third-party solutions like those provided by C3.ai. This trend represents a potential disintermediation where enterprises may opt to leverage the integrated AI capabilities directly from their existing cloud providers, who control the underlying infrastructure and can offer deeply integrated, potentially more cost-effective, and comprehensive solutions.
AI Analysis | Feedback
C3.ai (NYSE: AI) operates within several significant addressable markets for its enterprise artificial intelligence (AI) software and services.
The company itself estimates its total addressable market (TAM) to be $271 billion in 2024. More broadly, the global enterprise AI market is projected to offer an opportunity of $600 billion by the end of 2026. Global spending on enterprise AI is expected to reach $423 billion by 2027.
For its core offering, the C3 AI Suite, which provides an AI software platform, the global market for AI software platforms is expected to grow from $28 billion in 2023 to $153 billion in 2028. Furthermore, with its focus on generative AI and agentic AI capabilities, C3.ai addresses the global market for decision-making AI agents, which is projected to expand from $8 billion in 2026 to $215 billion by 2035.
AI Analysis | Feedback
Here are 3-5 expected drivers of future revenue growth for C3.ai (AI) over the next 2-3 years: * **Expansion of Strategic Partnerships and Ecosystem:** C3.ai is heavily focused on expanding its partner ecosystem, which includes hyperscalers like Microsoft, AWS, and Google Cloud, as well as advisory alliances such as McKinsey QuantumBlack, PwC, and Booz Allen Hamilton. This strategy is proving to be a significant growth driver, expanding market reach, accelerating sales cycles, and increasing the adoption of its enterprise AI applications. For instance, in fiscal year 2025, 73% of agreements were completed through partnerships, with partner-supported bookings rising 419% year-over-year in the fiscal fourth quarter. The joint qualified opportunity pipeline with partners also saw a substantial increase of 108% year-over-year in Q2 FY26. * **Growing Demand for Enterprise AI and Generative AI Solutions:** The rapidly expanding enterprise AI market, coupled with C3.ai's innovative product portfolio, particularly its generative AI offerings, is expected to fuel revenue growth. The company launched 30 generative AI products in fiscal year 2024 and experienced overwhelming market interest, with tens of thousands of inquiries from businesses for these applications. C3.ai's comprehensive suite of AI applications and generative AI capabilities position it to meet this rising demand and capture a larger market share. * **Federal and Defense Sector Expansion:** The federal market has emerged as a significant growth vector for C3.ai. The company is actively investing in this sector and has secured new and expanded agreements with various U.S. government agencies and defense contractors. Bookings across federal, defense, and aerospace increased by 89% year-over-year in Q2 FY26, representing 45% of total bookings. This accelerated federal growth is driven by the demand for secure commercial off-the-shelf (COTS) enterprise-scale AI platforms for mission-critical operations. * **Shift to Consumption-Based Pricing Model:** In early 2025, C3.ai transitioned to a consumption-based pricing model. This shift aims to lower entry barriers for mid-market customers and accelerate the adoption of enterprise AI applications. While this may lead to some short-term revenue variability, the strategy is designed to drive sustained usage and long-term revenue growth by aligning C3.ai's revenue directly with customer utilization and value realization.AI Analysis | Feedback
Share Repurchases
- In June 2021, C3.ai's Board of Directors authorized a stock repurchase program of up to $100 million of its Class A common stock over an 18-month period.
Share Issuance
- C3.ai conducted its Initial Public Offering (IPO) on December 9, 2020, raising $651 million by selling 15.5 million shares at $42 per share. This IPO increased the company's cash reserves by approximately $1 billion.
- The 2020 Incentive Plan, effective with the IPO, allows for the grant of various equity awards, with reserved shares subject to automatic annual increases.
- In September 2025, the company adopted the 2025 Inducement Plan, reserving 5,000,000 shares of Class A Common Stock for issuance.
Inbound Investments
- As part of its December 2020 IPO, Spring Creek Capital, an affiliate of Koch Industries, committed to buying $100 million in common stock, and Microsoft committed to buying $50 million in common stock through a private placement at the IPO price.
Capital Expenditures
- C3.ai's capital expenditures were forecasted at $3.791 million for 2025, $70.52 million for 2026, and $25.26 million for 2027.
- Historically, C3.ai has financed its operations and capital expenditures primarily through equity issuances and cash generated from its operations.
- At the start of fiscal year 2024, C3.ai shifted its focus from near-term profitability to increasing investments in its AI-oriented modules.
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| 04302026 | PLTR | Palantir Technologies | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 0.0% | 0.0% | 0.0% |
| 04102026 | ADSK | Autodesk | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 8.5% | 8.5% | 0.0% |
| 04102026 | BSY | Bentley Systems | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 4.2% | 4.2% | 0.0% |
| 04102026 | ENPH | Enphase Energy | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 5.7% | 5.7% | 0.0% |
| 04102026 | BL | BlackLine | Dip Buy | DB | CFO/Rev | Low D/EDip Buy with High Cash Flow MarginsBuying dips for companies with significant cash flows from operations and reasonable debt / market cap | 3.2% | 3.2% | -3.0% |
Research & Analysis
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 136.40 |
| Mkt Cap | 71.6 |
| Rev LTM | 4,954 |
| Op Inc LTM | 916 |
| FCF LTM | 1,903 |
| FCF 3Y Avg | 1,233 |
| CFO LTM | 1,973 |
| CFO 3Y Avg | 1,290 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 24.7% |
| Rev Chg 3Y Avg | 24.7% |
| Rev Chg Q | 25.6% |
| QoQ Delta Rev Chg LTM | 5.9% |
| Op Inc Chg LTM | 8.9% |
| Op Inc Chg 3Y Avg | 56.1% |
| Op Mgn LTM | 6.1% |
| Op Mgn 3Y Avg | 5.9% |
| QoQ Delta Op Mgn LTM | -0.1% |
| CFO/Rev LTM | 33.4% |
| CFO/Rev 3Y Avg | 32.4% |
| FCF/Rev LTM | 29.9% |
| FCF/Rev 3Y Avg | 29.7% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 71.6 |
| P/S | 8.4 |
| P/Op Inc | 8.0 |
| P/EBIT | 28.7 |
| P/E | 37.6 |
| P/CFO | 28.0 |
| Total Yield | 0.5% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | 1.6% |
| D/E | 0.0 |
| Net D/E | -0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -4.3% |
| 3M Rtn | -11.2% |
| 6M Rtn | -34.6% |
| 12M Rtn | -25.3% |
| 3Y Rtn | -2.3% |
| 1M Excs Rtn | -15.0% |
| 3M Excs Rtn | -18.2% |
| 6M Excs Rtn | -47.2% |
| 12M Excs Rtn | -55.3% |
| 3Y Excs Rtn | -79.8% |
Price Behavior
| Market Price | $9.60 | |
| Market Cap ($ Bil) | 1.4 | |
| First Trading Date | 12/09/2020 | |
| Distance from 52W High | -67.1% | |
| 50 Days | 200 Days | |
| DMA Price | $8.83 | $14.30 |
| DMA Trend | down | down |
| Distance from DMA | 8.7% | -32.9% |
| 3M | 1YR | |
| Volatility | 76.8% | 67.8% |
| Downside Capture | 2.13 | 2.15 |
| Upside Capture | 240.95 | 193.49 |
| Correlation (SPY) | 48.3% | 46.7% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 2.21 | 1.63 | 2.57 | 2.55 | 2.58 | 2.15 |
| Up Beta | 1.43 | 0.87 | 2.06 | 2.31 | 2.25 | 1.53 |
| Down Beta | 2.35 | 1.04 | 0.48 | 1.87 | 1.94 | 1.62 |
| Up Capture | 199% | 236% | 274% | 225% | 294% | 4314% |
| Bmk +ve Days | 15 | 22 | 31 | 66 | 141 | 428 |
| Stock +ve Days | 12 | 24 | 31 | 59 | 113 | 362 |
| Down Capture | 968% | 193% | 325% | 247% | 204% | 113% |
| Bmk -ve Days | 4 | 18 | 30 | 56 | 108 | 321 |
| Stock -ve Days | 10 | 19 | 33 | 66 | 135 | 384 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AI | |
|---|---|---|---|---|
| AI | -56.2% | 67.8% | -0.94 | - |
| Sector ETF (XLK) | 59.0% | 20.6% | 2.14 | 47.8% |
| Equity (SPY) | 28.5% | 12.5% | 1.78 | 47.5% |
| Gold (GLD) | 40.6% | 27.2% | 1.23 | 10.7% |
| Commodities (DBC) | 50.9% | 18.0% | 2.20 | 4.0% |
| Real Estate (VNQ) | 12.8% | 13.5% | 0.65 | 21.4% |
| Bitcoin (BTCUSD) | -14.2% | 42.1% | -0.25 | 38.2% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AI | |
|---|---|---|---|---|
| AI | -32.1% | 78.2% | -0.16 | - |
| Sector ETF (XLK) | 20.1% | 24.8% | 0.72 | 46.6% |
| Equity (SPY) | 12.7% | 17.1% | 0.58 | 45.6% |
| Gold (GLD) | 21.0% | 17.9% | 0.96 | 6.6% |
| Commodities (DBC) | 13.9% | 19.1% | 0.60 | 8.5% |
| Real Estate (VNQ) | 3.5% | 18.8% | 0.09 | 35.1% |
| Bitcoin (BTCUSD) | 8.7% | 56.1% | 0.37 | 26.3% |
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Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AI | |
|---|---|---|---|---|
| AI | -20.2% | 82.4% | -0.15 | - |
| Sector ETF (XLK) | 24.3% | 24.4% | 0.90 | 44.8% |
| Equity (SPY) | 14.9% | 17.9% | 0.71 | 43.1% |
| Gold (GLD) | 13.7% | 16.0% | 0.71 | 5.8% |
| Commodities (DBC) | 9.5% | 17.7% | 0.45 | 9.0% |
| Real Estate (VNQ) | 5.7% | 20.7% | 0.24 | 32.5% |
| Bitcoin (BTCUSD) | 68.4% | 66.9% | 1.07 | 23.0% |
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Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 2/25/2026 | -18.5% | -9.9% | -19.4% |
| 12/3/2025 | 2.1% | 5.4% | -5.7% |
| 8/11/2025 | 2.7% | 10.5% | -5.2% |
| 5/28/2025 | 20.8% | 14.1% | 5.3% |
| 2/26/2025 | -9.7% | -14.4% | -14.8% |
| 12/9/2024 | 0.1% | 3.0% | -22.2% |
| 9/4/2024 | -8.2% | -7.0% | 0.1% |
| 5/29/2024 | 19.4% | 27.8% | 21.1% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 10 | 11 | 7 |
| # Negative | 10 | 9 | 13 |
| Median Positive | 13.6% | 9.3% | 5.3% |
| Median Negative | -10.6% | -9.9% | -13.6% |
| Max Positive | 33.6% | 30.2% | 122.0% |
| Max Negative | -19.3% | -19.0% | -30.6% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 01/31/2026 | 03/11/2026 | 10-Q |
| 10/31/2025 | 12/09/2025 | 10-Q |
| 07/31/2025 | 09/09/2025 | 10-Q |
| 04/30/2025 | 06/23/2025 | 10-K |
| 01/31/2025 | 03/07/2025 | 10-Q |
| 10/31/2024 | 12/10/2024 | 10-Q |
| 07/31/2024 | 09/05/2024 | 10-Q |
| 04/30/2024 | 06/18/2024 | 10-K |
| 01/31/2024 | 02/29/2024 | 10-Q |
| 10/31/2023 | 12/07/2023 | 10-Q |
| 07/31/2023 | 09/07/2023 | 10-Q |
| 04/30/2023 | 06/22/2023 | 10-K |
| 01/31/2023 | 03/03/2023 | 10-Q |
| 10/31/2022 | 12/08/2022 | 10-Q |
| 07/31/2022 | 09/01/2022 | 10-Q |
| 04/30/2022 | 06/23/2022 | 10-K |
Recent Forward Guidance [BETA]
Latest: Q3 2026 Earnings Reported 2/25/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| Q4 2026 Total Revenue | 48.00 Mil | 50.00 Mil | 52.00 Mil | -34.2% | Lower New | Guidance: 76.00 Mil for Q3 2026 | |
| Q4 2026 Non-GAAP loss from operations | -64.00 Mil | -60.00 Mil | -56.00 Mil | 25.0% | Lowered | Guidance: -48.00 Mil for Q3 2026 | |
| 2026 Total Revenue | 246.70 Mil | 248.70 Mil | 250.70 Mil | -17.0% | Lowered | Guidance: 299.50 Mil for 2026 | |
| 2026 Non-GAAP loss from operations | -227.50 Mil | -223.50 Mil | -219.50 Mil | 14.3% | Lowered | Guidance: -195.50 Mil for 2026 | |
| 2026 Annual cost savings | 135.00 Mil | ||||||
Prior: Q2 2026 Earnings Reported 12/3/2025
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| Q3 2026 Total Revenue | 72.00 Mil | 76.00 Mil | 80.00 Mil | ||||
| Q3 2026 Non-GAAP loss from operations | -52.00 Mil | -48.00 Mil | -44.00 Mil | -10.3% | Raised | Guidance: -53.50 Mil for Q2 2026 | |
| 2026 Total Revenue | 289.50 Mil | 299.50 Mil | 309.50 Mil | ||||
| 2026 Non-GAAP loss from operations | -210.50 Mil | -195.50 Mil | -180.50 Mil | ||||
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Siebel, Thomas M | Executive Chairman | Direct | Sell | 5052026 | 9.27 | 27,210 | 252,237 | 6,936,528 | Form |
| 2 | Siebel, Thomas M | Executive Chairman | Direct | Sell | 4152026 | 8.49 | 165,278 | 1,403,210 | 6,132,853 | Form |
| 3 | Siebel, Thomas M | Executive Chairman | Direct | Sell | 4152026 | 8.31 | 326,189 | 2,710,631 | 6,002,828 | Form |
| 4 | Snabe, Jim H | Direct | Sell | 3312026 | 8.08 | 10,000 | 80,800 | 3,110,800 | Form | |
| 5 | Snabe, Jim H | Direct | Buy | 3312026 | 7.73 | 10,000 | 77,300 | 3,053,350 | Form |
Industry Resources
| Technology Hardware, Storage & Peripherals Resources |
| The Verge |
| TechRadar |
| Tom’s Hardware |
| PCMag |
| CNET |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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