C3.ai, Inc.

C3.ai, Inc. (AI) Market Cap

C3.ai, Inc. has a market capitalization of $1.30B.

Financials based on reported quarter end 2026-01-31

Price: $9.20

-0.18 (-1.92%)

Market Cap: 1.30B

NYSE · time unavailable

CEO: Stephen Ehikian

Sector: Technology

Industry: Information Technology Services

IPO Date: 2020-12-09

Website: https://www.C3.ai

C3.ai, Inc. (AI) - Company Information

Market Cap: 1.30B · Sector: Technology

C3.ai, Inc. operates as an enterprise artificial intelligence (AI) software company in North America, Europe, the Middle East, Africa, the Asia Pacific, and internationally. It provides C3 AI application platform, an application development and runtime environment that enables customers to design, develop, and deploy enterprise AI applications; C3 AI Ex Machina to for analysis-ready data; C3 AI CRM, an industry specific customer relationship management solution; and C3 AI Data Vision that visualizes, understands, and leverages the relationships between data entities. It also offers C3 AI applications, including C3 AI Inventory Optimization, a solution to optimize raw material, in-process, and finished goods inventory levels; C3 AI Supply Network Risk, which provides visibility into risks of disruption throughout the supply chain operations; C3 AI Customer Churn Management, which enables account executives and relationship managers to monitor customer satisfaction, as well as to prevent customer churn with AI-based and human-interpretable predictions and warning; C3 AI Production Schedule Optimization, a solution for scheduling production; C3 AI Predictive Maintenance, which provides insight into asset risk to maintenance planners and equipment operators; C3 AI Fraud Detection solution that identify revenue leakage or maintenance and safety issues; and C3 AI Energy Management solution. In addition, it offers integrated turnkey enterprise AI applications for oil and gas, chemicals, utilities, manufacturing, financial services, defense, intelligence, aerospace, healthcare, and telecommunications market segments. It has strategic partnerships with Baker Hughes in the areas of oil and gas market; FIS in the areas of financial services market; Raytheon; and AWS, Intel, Google, and Microsoft. The company was formerly known as C3 IoT, Inc. and changed its name to C3.ai, Inc. in June 2019. C3.ai, Inc. was incorporated in 2009 and is headquartered in Redwood City, California.

Analyst Sentiment

49%
Hold

Based on 28 ratings

Analyst 1Y Forecast: $12.11

Average target (based on 4 sources)

Consensus Price Target

Low

$6

Median

$7

High

$10

Average

$7

Downside: -19.6%

Price & Moving Averages

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📘 Full Research Report

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AI-Generated Research: This report is for informational purposes only.

📘 C3 AI INC CLASS A (AI) — Investment Overview

🧩 Business Model Overview

C3 AI Inc. is an enterprise artificial intelligence software company, specialized in delivering a suite of AI and machine learning solutions to large corporations across a variety of sectors, including manufacturing, energy, financial services, defense, and telecommunications. The company positions itself as a provider of an end-to-end platform that enables organizations to develop, deploy, and operate large-scale AI, predictive analytics, and Internet of Things (IoT) applications. Its SaaS-based model is designed to simplify the integration of AI into business processes, bridging the gap between raw enterprise data and actionable AI-driven insights. C3 AI's core offering is the C3 AI Suite, a model-driven, low-code/no-code platform for rapidly designing, developing, and deploying robust AI applications at scale. In addition to its platform offering, C3 AI also delivers a growing portfolio of pre-built, domain-specific AI applications (C3 AI Applications) that address discrete challenges such as fraud detection, predictive maintenance, energy management, and supply chain optimization. The company’s strategic emphasis is on reducing time-to-value for enterprise AI initiatives and lowering the complexities often inherent in AI adoption.

💰 Revenue Streams & Monetisation Model

C3 AI generates revenue primarily through the sale of subscriptions to its AI platform and industry-specific applications. The vast majority of its business is driven by long-term, multi-year software subscription contracts, typically involving large-scale enterprise deployments. Revenues are typically recognized on a ratable basis over the terms of these contracts, ensuring high visibility and a recurring nature for top-line results. Additionally, the company earns professional services revenue related to consulting, implementation, training, and support. While this segment is meaningful, it serves mainly as an enabler to the core software subscription business and represents a minority share of total revenues. C3 AI’s deployment model is both cloud-agnostic and hybrid-friendly, enabling the company to serve clients leveraging various public cloud providers or on-premises infrastructure. This flexibility expands the range of potential customers and integration scenarios. Upselling opportunities are a feature of C3 AI’s business, as many clients begin with a single application or proof-of-concept and expand usage across the enterprise once value is demonstrated. The ability to increase wallet share with existing customers through additional users, new use cases, or expanded deployments is an important aspect of the company’s revenue growth strategy.

🧠 Competitive Advantages & Market Positioning

C3 AI operates in a highly competitive and dynamic market but claims several important competitive differentiators: - **Technological Depth:** The C3 AI Suite is a comprehensive, low-code platform purpose-built for enterprise AI deployment. Its pre-built connectors, governance capabilities, robust security, and scalability are engineered to address the unique IT demands of Fortune 500 environments. - **Vertical Specialization:** The development of domain-specific applications allows C3 AI to meet the nuanced needs of different industries. Deep partnerships and co-development with sector leaders enhance the relevance and credibility of its offerings. - **Large Customer Wins & Ecosystem Partnerships:** C3 AI has established reference accounts among blue-chip enterprises and government agencies. Strategic alliances with technology vendors (such as Microsoft, Google Cloud, AWS) and systems integrators further strengthen go-to-market reach. - **Data Integration Capability:** The platform’s ability to ingest, process, and operationalize massive data volumes across disparate enterprise sources is a key point of distinction, addressing a perennial challenge in enterprise AI. C3 AI faces competition from major cloud hyperscalers (offering native AI services), application software vendors, and emerging AI platform specialists. However, its focus on large, complex, and highly regulated industries often differentiates its solution set and sales approach.

🚀 Multi-Year Growth Drivers

Several structural and company-specific trends support C3 AI’s long-term growth potential: - **Enterprise AI Adoption Curve:** Global digital transformation is propelling corporations toward AI-driven business models, with significant under-penetration of true enterprise-scale AI applications. C3 AI is positioned as a key enabler of this transformation. - **Expansion of Use Cases:** As organizations mature in their adoption of AI, demand is expected to broaden beyond early use cases to include predictive maintenance, fraud detection, supply chain optimization, ESG modeling, and demand forecasting. - **Subscription and Net Expansion:** The recurring, subscription-driven model cultivates high revenue visibility and presents net expansion opportunities as customers deepen platform usage or add new solutions. - **Platform and Application Portfolio Growth:** Ongoing investment in R&D supports expansion of the suite and verticals served, while pre-built applications lower barriers for new customers to quickly realize value. - **Ecosystem Leverage:** Partnerships with cloud providers, consulting firms, and system integrators enhance channel reach, accelerate sales cycles, and facilitate co-innovation, expanding the addressable opportunity pool.

⚠ Risk Factors to Monitor

While C3 AI is exposed to significant secular tailwinds, a number of notable risks should be considered: - **Lengthy Sales Cycles:** Enterprise AI projects, often involving large organizations and customized deployments, can result in extended sales cycles and unpredictable deal closure timelines. - **Competition from Large Technology Vendors:** Major cloud providers and enterprise software incumbents (like Microsoft, Google, IBM, and Oracle) have extensive resources and existing client relationships that could hinder C3 AI’s market share growth. - **Client Concentration:** The company’s target market includes relatively few, very large customers, which may increase dependency on a limited base and expose results to contract renewal risks. - **Technical Complexity and Implementation Risks:** Enterprise AI adoption can involve complex integration and change management, raising risks around implementation success and customer satisfaction. - **Rapidly Evolving Technology:** The pace of advancement in AI technology and competitive offerings may require sustained, high R&D investment to maintain product leadership. - **Macroeconomic and Regulatory Risks:** Economic cycles, changes in AI regulation, and heightened concerns around data security or privacy could delay spending or increase compliance costs.

📊 Valuation & Market View

C3 AI is typically valued as a high-growth, enterprise SaaS company, with market participants applying revenue-based multiples reflecting anticipated long-term adoption of AI in business. Its valuation relative to peers is influenced by growth velocity, subscription revenue mix, scale of existing deployments, and the perceived stickiness of its platform. The company’s investment profile is generally seen as higher-risk, higher-reward, attributable to the early-stage adoption of enterprise AI solutions, customer concentration, and the competitive landscape. Yet, the scalable, recurring-revenue model supports the potential for significant long-term margin expansion if C3 AI can deliver sustained growth and realization of operating leverage. Public markets weigh these factors alongside uncertainties regarding the timing of material profitability and the degree to which C3 AI can consolidate a leading position as enterprise AI matures.

🔍 Investment Takeaway

C3 AI Inc. stands out as a pure-play enterprise AI software company, offering a robust, scalable platform and a portfolio of industry-specific applications tailored to some of the world’s largest organizations. Its recurring revenue model, strategic alliances, and focus on complex, high-value use cases position it to benefit from accelerating AI adoption cycles. However, investors must carefully weigh its long sales cycles, the competitive intensity of the AI landscape, risks around large customer dependency, and evolving technology trends. The company combines compelling structural tailwinds and a differentiated value proposition with a risk/return dynamic typical of innovation-focused enterprise technology names. For investors seeking exposure to long-term secular growth in applied artificial intelligence across the enterprise sector, C3 AI offers a levered bet on the proliferation of AI-powered digital transformation—tempered by the natural volatility and execution hurdles of a fast-evolving software category.

⚠ AI-generated — informational only. Validate using filings before investing.

Fundamentals Overview

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📊 AI Financial Analysis

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Earnings Data: Q Ending 2026-01-31

"For the latest quarter ending January 31, 2026, AI reported revenue of $53.26M, while net income was notably negative at -$133.36M, resulting in an earnings per share (EPS) of -$0.95. The company has struggled with profitability, as evidenced by a significant operating cash flow deficit of -$55.76M and a free cash flow of -$56.20M. Total assets stand at $895.78M against total liabilities of $176.30M, showcasing a healthy equity position of $719.47M and significant net cash of -$88.85M, indicating less reliance on debt. In terms of shareholder returns, dividends have not been issued since 2019, and the stock has experienced a drastic decline in market performance with a one-year change of -64.71%, highlighting challenges in price appreciation and overall performance. Valuation measures sit within a target consensus price of $7.4, indicating a potential recovery pathway, albeit the current market price of $8.29 suggests a premium. Overall, AI faces substantial headwinds in profitability and shareholder returns, with a cautious outlook in the current environment."

Revenue Growth

Caution

Current revenue growth is moderate, but overall performance is hindered by significant losses.

Profitability

Neutral

Profitability remains a concern with a consistent net loss and negative cash flow.

Cash Flow Quality

Neutral

Operating and free cash flow are deeply negative, indicating severe cash management issues.

Leverage & Balance Sheet

Neutral

Strong equity position supported by low liabilities, but reliance on cash reserves is necessary.

Shareholder Returns

Neutral

No dividends since 2019; substantial decline in stock price over the last year.

Analyst Sentiment & Valuation

Caution

Analysts suggest some recovery potential, but significant risks remain in valuation metrics.

Disclaimer:This analysis is AI-generated for informational purposes only. Accuracy is not guaranteed and this does not constitute financial advice.

So What?: Q3 FY26 was a clear execution miss—management said results were “inadequate” and below objectives, with business not closing as planned. The company reported $53.3m revenue (90% subscription; $46.9m bookings) but a $63.4m non-GAAP operating loss and -$56.2m free cash flow, signaling continued cash burn pressure despite meaningful cash reserves ($621.9m). The operational response is aggressive: a rightsizing plan targeting ~$135m non-GAAP expense reductions and a similar reduction in annual cash burn, including ~26% headcount cuts (~280 employees) and ~$75m nonemployee cost eliminations, to be largely implemented by Q2 FY’27. Commercially, the thesis hinges on converting IPDs faster (selective qualification; GenAI IPDs included) and improving sales execution via a flattened org structure and accelerated proof-of-value motion. Near-term risk remains: North America/EMEA weakness is attributed directly to sales execution. Net: credible plan and selective pipeline quality improvements, but near-term financial performance and conversion momentum must improve quickly for guidance to be met.

AI IconGrowth Catalysts

  • Focus on market leadership applications delivering fast economic value (AI/automation across value chain, asset performance, supply chain optimization, procurement)
  • Accelerated enterprise-wide transformation motion using accelerated proof of concepts in IPDs (targeting conversion to production)
  • Agentic AI infused across functions to increase productivity (sales proposal generation; marketing website redesign from 9-12 months to weeks)
  • Platform acceleration via agentic coding tools (claude code) to increase engineering/productivity by up to 2 orders of magnitude

Business Development

  • U.S. Department of Agriculture (USDA): selected C3 AI for enterprise-scale AI solution to modernize intergovernmental/public engagements via C3 Agentic AI platform
  • U.S. Department of Energy (DOE): selected C3 AI to centralize/unify headquarters data; AI-enabled decision platform for compliance oversight, real-time visibility, efficiency
  • NATO Communications and Information Agency: selected C3 AI for logistics planning/operations across 32 member states
  • Japan Ministry of Defense: expanding adoption (allied defense organizations) for defense-related use cases
  • U.K. Royal Navy: expanding adoption alongside Japan MoD
  • European subsea engineering & construction services provider: new multiyear agreement extending C3 AI reliability application and adding Agentic AI capabilities (virtual subject matter experts)
  • Thales (agreement included among 44 total agreements closed)
  • Royal Navy (named among 44 agreements)
  • GSK (agreement included among 44 total agreements)
  • ExxonMobil (agreement included among 44 total agreements)
  • U.S. Steel (agreement included among 44 total agreements)
  • Seaspan (agreement included among 44 total agreements)
  • McLaren (agreement included among 44 total agreements)

AI IconFinancial Highlights

  • Revenue: $53.3m (subscription $48.2m; professional services $5.1m); subscription = 90% of total revenue; subscription + PES = $51.5m = 97% of total revenue
  • Bookings: $46.9m
  • Non-GAAP gross margin: 37%; non-GAAP gross margin for professional services: 82%
  • Non-GAAP operating loss: $63.4m
  • Non-GAAP net loss: $56.4m ($0.40/share)
  • Free cash flow: -$56.2m
  • Management commentary: results 'inadequate' and 'well below our objectives'; weakness specifically in North America and Europe driven by sales execution
  • Tax/tariff impacts: none mentioned in transcript
  • Margins bps: no explicit basis-point margin change disclosed (only absolute margins: gross margin 37%, PES gross margin 82%)

AI IconCapital Funding

  • Cash/cash equivalents/marketable securities: $621.9m at quarter end
  • Free cash flow for quarter: -$56.2m
  • Buyback/debt levels: none mentioned in transcript

AI IconStrategy & Ops

  • 5 strategic initiatives: (1) rightsizing cost structure/reducing cash burn, (2) flattening sales org, (3) focus on best-in-class applications (AI/automation, asset performance, supply chain optimization, procurement; industries listed), (4) prioritize large-scale enterprise-wide transformations with accelerated proof of value/ bookings and RPO focus, (5) increase velocity of development and reengineer product delivery using agentic AI
  • Sales org: flattening; sales leadership reporting directly to CEO; applied playbook first used in federal space in Q2
  • Workforce reduction plan (launched Q4): full-year non-GAAP operating expense reductions of ~$135m; annual cash burn reduction ~same amount; substantially complete by Q2 FY'27
  • Headcount reductions: ~26% (~280 employees) with mix: 25% in cost of revenue, 36% in sales & marketing, 25% in R&D, 13% in G&A
  • Nonemployee expense reductions: ~$75m eliminated, fully realized starting second half of FY'27
  • IPDs: 14 signed in quarter, including 5 GenAI IPDs; cumulative 408 IPDs with 258 active at quarter end

AI IconMarket Outlook

  • Q4 FY'26 guidance: revenue $48m to $52m; non-GAAP loss from operations $56m to $64m
  • FY'26 guidance: revenue $246.7m to $250.7m; non-GAAP loss from operations $219.5m to $227.5m
  • Guidance note: Q4 and FY'26 non-GAAP loss from operations excludes pretax restructuring expenses of ~$10m to ~$12m
  • Restructuring implementation timeline: substantially complete by Q2 FY'27; projected cost savings fully realized starting second half of FY'27

AI IconRisks & Headwinds

  • Results 'well below objectives'; failed to close business as planned
  • Sales execution weakness in North America and Europe explicitly cited as primary issue; CEO states sales execution 'full stop' owned and will be fixed
  • Risk of 'pilot purgatory' acknowledged by management as customer concern; necessitates faster proof/value and conversion to production
  • No explicit competitive/market share/bps yield metrics provided in transcript

Sentiment: CAUTIOUS

Note: This summary was synthesized by AI from the AI Q3 2026 (ended Jan 31, 2026) earnings transcript. Financial data is complex; please verify all metrics against official SEC filings before making investment decisions.

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SEC Filings (AI)

© 2026 Stock Market Info — C3.ai, Inc. (AI) Financial Profile