# C3.ai, Inc. (AI)

Informational only - not investment advice.

CIK: 0001577526
SIC: 7372 Services-Prepackaged Software
SIC breadcrumb: [Services](/division/I/) > [Business Services](/major-group/73/) > [SIC 7372 Services-Prepackaged Software](/industry/7372/)
Latest 10-K filed: 2026-06-24
SEC page: https://www.sec.gov/edgar/browse/?CIK=1577526
Filing source: https://www.sec.gov/Archives/edgar/data/1577526/000157752626000078/ai-20260430.htm

## At a glance

FY2026 · period end 2026-04-30 · filed 2026-06-24 · accession 0001577526-26-000078 · source: https://data.sec.gov/api/xbrl/companyfacts/CIK0001577526.json

| Metric | Value | FY | Provenance |
| --- | ---: | ---: | --- |
| Revenue | 250,268,000 USD | 2026 | verified |
| Net income | -470,369,000 USD | 2026 | verified |
| Assets | 816,273,000 USD | 2026 | verified |
| Free cash flow | -192,136,000 USD | 2026 | computed |
| Revenue YoY | -35.67% | 2026 | computed |
| ROE | -71.95% | 2026 | computed |

Computed values are grepcent-computed from the verified facts above and may differ from ratios the company itself reports. Free cash flow = operating cash flow − capital expenditures. Revenue YoY = FY2026 revenue ÷ FY2025 revenue − 1 (consecutive fiscal years only). ROE = net income ÷ period-end stockholders' equity.

No market price, no rating, no forecast on this site. Not investment advice.

### Peer percentile fingerprint

| Ratio | AI | Peer median | Percentile | N |
| --- | ---: | ---: | ---: | ---: |
| Net margin | -74.2% | 1.5% | 1 | 122 |
| Operating margin | -83.4% | 1.3% | 2 | 121 |
| Revenue growth | -35.7% | 13.5% | 0 | 124 |
| FCF margin | -76.8% | 19.3% | 3 | 120 |
| ROE | -71.9% | 2.0% | 5 | 112 |
| ROA | -57.6% | 0.9% | 1 | 124 |
| Liabilities / equity | 0.25 | 0.91 | 8 | 113 |
| Current ratio | 6.64 | 1.57 | 95 | 124 |

Percentile = share of the N covered peers reporting that ratio whose value is lower (ties counted half); computed among grepcent-covered companies in SIC industry 7372 Services-Prepackaged Software, not the whole market. A higher percentile means a higher value of the ratio, not a better company. Ratios with fewer than 8 reporting peers are omitted. Latest reported values per company; fiscal periods may differ. Descriptive arithmetic - not a score, rating, or ranking.

## Selected Fundamentals
| Metric | Value | Unit | FY | Filed |
| --- | ---: | --- | ---: | --- |
| Revenue | 250268000 | USD | 2026 | 2026-06-24 |
| Net income | -470369000 | USD | 2026 | 2026-06-24 |
| Assets | 816273000 | USD | 2026 | 2026-06-24 |

## Financials

Annual standardized facts from SEC companyfacts as of latest extracted filing date 2026-06-24. Source: https://data.sec.gov/api/xbrl/companyfacts/CIK0001577526.json. Derived margins, ratios, and free cash flow are computed from the extracted annual SEC facts.

| Metric | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
| Revenue |  | 91,605,000 | 156,666,000 | 183,217,000 | 252,759,000 | 266,795,000 | 310,582,000 | 389,056,000 | 250,268,000 |
| Net income |  | -33,346,000 | -69,378,000 | -55,696,000 | -192,065,000 | -268,839,000 | -279,696,000 | -288,702,000 | -470,369,000 |
| Operating income |  | -36,042,000 | -71,497,000 | -60,258,000 | -196,122,000 | -290,493,000 | -318,342,000 | -324,424,000 | -498,498,000 |
| Gross profit |  | 61,219,000 | 117,879,000 | 138,698,000 | 189,046,000 | 180,458,000 | 178,560,000 | 235,863,000 | 77,382,000 |
| Diluted EPS |  |  |  |  | -1.84 | -2.45 | -2.34 | -2.24 | -3.35 |
| Operating cash flow |  | -34,876,000 | -61,281,000 | -37,553,000 | -86,462,000 | -115,691,000 | -62,362,000 | -41,407,000 | -190,228,000 |
| Capital expenditures |  | 6,811,000 | 2,298,000 | 1,628,000 | 3,791,000 | 70,518,000 | 25,256,000 | 3,039,000 | 1,908,000 |
| Assets |  |  | 305,108,000 | 1,196,477,000 | 1,170,882,000 | 1,103,028,000 | 1,038,225,000 | 1,025,882,000 | 816,273,000 |
| Liabilities |  |  | 93,798,000 | 135,302,000 | 181,405,000 | 173,363,000 | 164,872,000 | 187,579,000 | 162,522,000 |
| Stockholders' equity | -139,830,000 | -165,434,000 | -182,697,000 | 1,061,175,000 | 989,477,000 | 929,665,000 | 873,353,000 | 838,303,000 | 653,751,000 |
| Cash and cash equivalents |  | 98,607,000 | 33,104,000 | 115,355,000 | 339,528,000 | 284,829,000 | 167,146,000 | 164,358,000 | 66,197,000 |
| Free cash flow |  | -41,687,000 | -63,579,000 | -39,181,000 | -90,253,000 | -186,209,000 | -87,618,000 | -44,446,000 | -192,136,000 |

### Ratios

ROE and ROA use period-end equity/assets. Liabilities / equity uses total liabilities divided by stockholders' equity. Current ratio uses current assets divided by current liabilities when both are reported.

| Metric | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
| Net margin |  | -36.40% | -44.28% | -30.40% | -75.99% | -100.77% | -90.06% | -74.21% |  |
| Operating margin |  | -39.35% | -45.64% | -32.89% | -77.59% | -108.88% | -102.50% | -83.39% |  |
| Return on equity |  |  |  | -5.25% | -19.41% | -28.92% | -32.03% | -34.44% | -71.95% |
| Return on assets |  |  | -22.74% | -4.65% | -16.40% | -24.37% | -26.94% | -28.14% | -57.62% |
| Liabilities / equity |  |  |  | 0.13 | 0.18 | 0.19 | 0.19 | 0.22 | 0.25 |
| Current ratio |  |  | 3.47 | 9.42 | 7.06 | 6.53 | 8.84 | 6.86 | 6.64 |

## As-reported value updates

No tracked differences above grepcent's stated thresholds and capped precision rule were found between the earliest XBRL-filed value and the value currently on file for the standardized annual metrics grepcent tracks.


## Quarterly

Quarterly standardized facts from SEC companyfacts as of latest extracted filing date 2026-06-24. Source: https://data.sec.gov/api/xbrl/companyfacts/CIK0001577526.json.

Flow metrics use discrete quarter-length periods from 10-Q/10-Q/A filings. Q4 revenue and net income are derived only when annual FY and nine-month YTD facts exist for the same fiscal year; derived Q4 values are labeled. EPS Q4 is not derived.

| Quarter | End date | Revenue | Net income | Diluted EPS | Method |
| --- | --- | ---: | ---: | ---: | --- |
| 2023-Q1 | 2022-07-31 |  |  | -0.67 | reported discrete quarter |
| 2023-Q2 | 2022-10-31 |  |  | -0.63 | reported discrete quarter |
| 2023-Q3 | 2023-01-31 |  |  | -0.57 | reported discrete quarter |
| 2024-Q1 | 2023-07-31 | 72,362,000 | -64,358,000 | -0.56 | reported discrete quarter |
| 2024-Q2 | 2023-10-31 | 73,229,000 | -69,780,000 | -0.59 | reported discrete quarter |
| 2024-Q3 | 2024-01-31 | 78,401,000 | -72,631,000 | -0.60 | reported discrete quarter |
| 2024-Q4 | 2024-04-30 | 86,590,000 | -72,927,000 |  | derived Q4 = FY annual - nine-month YTD |
| 2025-Q1 | 2024-07-31 | 87,213,000 | -62,827,000 | -0.50 | reported discrete quarter |
| 2025-Q2 | 2024-10-31 | 94,338,000 | -65,972,000 | -0.52 | reported discrete quarter |
| 2025-Q3 | 2025-01-31 | 98,782,000 | -80,201,000 | -0.62 | reported discrete quarter |
| 2025-Q4 | 2025-04-30 | 108,723,000 | -79,702,000 |  | derived Q4 = FY annual - nine-month YTD |
| 2026-Q1 | 2025-07-31 | 70,261,000 | -116,769,000 | -0.86 | reported discrete quarter |
| 2026-Q2 | 2025-10-31 | 75,147,000 | -104,668,000 | -0.75 | reported discrete quarter |
| 2026-Q3 | 2026-01-31 | 53,260,000 | -133,363,000 | -0.94 | reported discrete quarter |
| 2026-Q4 | 2026-04-30 | 51,600,000 | -115,569,000 |  | derived Q4 = FY annual - nine-month YTD |

## Filed narrative (10-K & 10-Q)

## Business

Verbatim Item 1 Business section from AI's latest 10-K: [/company/AI/business/](/company/AI/business/).

## Risk Factors

Verbatim Item 1A Risk Factors from AI's latest 10-K: [/company/AI/risk-factors/](/company/AI/risk-factors/).

## Latest quarter (10-Q)

Latest 10-Q source: https://www.sec.gov/Archives/edgar/data/1577526/000157752626000024/ai-20260131.htm

Extracted from a substantive MD&A body after the formal Item 2 span was a TOC or reference stub.
Confidence: high
Filing date: 2026-03-11
Report date: 2026-01-31

Overview

C3 AI is an Enterprise AI application software company.

We have built a family of software applications that enable our customers to rapidly develop, deploy, and operate large-scale Enterprise AI applications. Customers can deploy C3 AI solutions on major public cloud infrastructures, private cloud or hybrid environments, or directly on their servers and processors. We provide three primary families of software solutions, which we collectively refer to as our “C3 AI Software”:

•C3 Agentic AI Platform, our core technology, is a comprehensive, end-to-end application development and runtime environment that is designed to allow our customers to rapidly design, develop, and deploy Enterprise AI applications.

•C3 AI Applications, built using the C3 Agentic AI Platform, is a portfolio of pre-built, extensible, industry-specific and application-specific Enterprise AI applications that can be rapidly installed and deployed.

•C3 Generative AI combines the utility of large language models, or LLMs, generative AI, reinforcement learning, natural language processing, and the C3 Agentic AI Platform to rapidly locate, retrieve, and present information, disparate data stores, applications, and enterprise information systems.

These solutions, and our patented model-driven architecture, enable organizations to simplify and accelerate Enterprise AI application development, deployment, and administration. We significantly reduce the effort and complexity of the AI software engineering problem.

How We Generate Revenue

We generate revenue primarily from the sale of subscriptions, which accounted for 90% and 87% of our total revenue in the three months ended January 31, 2026 and 2025, respectively, and 90% and 86% of our total revenue in the nine months ended January 31, 2026 and 2025. Our cloud-native software offerings allow us to manage, update, and monitor the software regardless of whether the software is deployed in our public cloud environment, in our customers’ self-managed private or public cloud environments, or in a hybrid environment.

28

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We primarily recognize revenue from subscriptions on a ratable basis over the contract term or on a usage basis for consumption-based arrangements. We also recognize revenue upon delivery to the customer for software licenses that do not require maintenance and support services. In addition, customers typically pay a usage-based runtime fee for production use of our C3 AI Software for specified levels of capacity. Customers who choose to run the software in our cloud environment pay the hosting costs charged by our cloud providers. We deploy a consumption-based pricing model, beginning with an initial production deployment phase which may include access to the C3 Agentic AI Platform, one or more C3 AI Applications or C3 Generative AI, and C3 AI Center of Excellence, or COE support services. Following the initial production deployment period, customers either pay a monthly fee and consumption charges using virtual Central Processing Unit or vCPU and virtual Graphics Processing Unit or vGPU hours as the metric to calculate payment or enter into a time-certain multi-period commitment that may include consumption charges. Our subscriptions also include our maintenance and support services. Additionally, we offer premium stand-ready support services through our C3 AI COE which is included as part of the subscription when purchased.

We also generate revenue from professional services, which primarily include prioritized engineering services and services fees. Professional services revenue represented 10% and 13% of our total revenue for the three months ended January 31, 2026 and 2025, respectively, and 10% and 14% of our total revenue in the nine months ended January 31, 2026 and 2025, respectively.

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 as well as other terms, such as relevant specifications. 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. Prioritized engineering services revenue is recognized as professional services over the period in which the software development is completed. Prioritized engineering services revenue accounted for 65% and 43% of total professional services revenue for the three months ended January 31, 2026 and 2025, respectively, and 80% and 65% of our total professional services revenue in the nine months ended January 31, 2026 and 2025, respectively.

Service fees include revenue from services such as consulting, training, and paid implementation services. For service fees, revenue is typically recognized over time as the services are performed.

Go-to-Market Strategy

Our go-to-market strategy has been historically focused on large organizations recognized as leaders in their respective industries or public sectors that are attempting to solve complicated business problems by digitally transforming their operations. These large organizations, or lighthouse customers, include companies and public agencies within the oil and gas, power and utilities, aerospace and defense, industrial products, life sciences, and financial services industries, among others. This has resulted in C3 AI powering some of the largest and most complex Enterprise AI applications. These lighthouse customers serve as proof points for other potential customers in their respective industries. As a result, we have a customer base of a relatively small number of large organizations that generate high average total subscription contract value, but we expect that, over time, as more customers adopt our technology based on the proof points provided by these lighthouse customers, the revenue represented by these lighthouse customers will decrease as a percentage of total revenue. As our C3 Agentic AI Platform and much of our other C3 AI software are industry agnostic, we also expect to expand into other industries.

Our go-to-market strategy includes a way for new customers to subscribe to our products at smaller initial contract sizes and pay for services based on their monthly consumption of vCPU and vGPU hours or at fixed rates. Customers generally begin with a short proof of value or one to two-quarter-long initial production deployment agreements which includes the necessary resources required to deploy the C3 Agentic AI Platform and/or C3 AI Applications and receive necessary training to operate and maintain the software in production use. Following the initial production deployment period, customers either pay a monthly fee and consumption charges using vCPU and vGPU hours utilized as the metric to calculate payment or enter into a time-certain multi-period commitment that may include consumption charges.

29

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Acquiring new customers and expanding our business with our existing customers is the purpose of our go-to-market effort and drives our growth. Making new and existing customers successful is critical to our long-term success. After we help our customers solve their initial use cases, they frequently identify incremental opportunities within their operations and expand their use of our products. The increased engagement is measured by a combination of increased vCPU/vGPU usage, increased C3 AI Software subscriptions and subscriptions to the C3 Agentic AI Platform for in-house AI application development.

The size and sophistication of our customers’ businesses demonstrate the flexibility, speed, and scale of our products, and maximize the potential value to our customers. To be a credible partner to our customers, who often are industry leaders, we deploy an experienced and highly educated team of C3 AI personnel and partners. We also complement and supplement our sales force with a number of go-to-market partners.

•Industry Partners. We have developed an alliance program to partner with recognized leaders in their respective industries, such as Baker Hughes and, Booz Allen Hamilton; to develop, market, and sell solutions that are natively built on or tightly integrated with the C3 Agentic AI Platform.

•Hyperscale Cloud and Infrastructure. We have formed global strategic go-to-market alliances with hyperscale cloud providers including Microsoft Azure, Amazon Web Services, or AWS, and Google Cloud.

•Consulting and Services Partners. We partner with a number of consulting firms and system integrators specializing in Enterprise AI implementation, including McKinsey & Company, PwC, Fractal, and Cathexis (formerly Paradyme).

•Independent Software Vendors. We partner with independent software vendors who develop, market, and sell application solutions that are natively built on or tightly integrated with the C3 Agentic AI Platform.

Key Business Metric

Remaining Performance Obligations

RPO represents the amount of our contracted future revenue that has not yet been recognized, including both deferred revenue and non-cancellable contracted amounts that will be invoiced and recognized as revenue in future periods.

As it relates to our subscription-based pricing agreements, we monitor remaining performance obligations, or RPO. While RPO provides insight into committed revenue, it may not accurately reflect future revenue growth, particularly for pay-as-you go consumption pricing agreements and due to factors such as timing of renewals, the timing of conversion of an initial production deployment into a recurring subscription contract, purchases of additional capacity, average contract terms, and seasonality. As a result, it is important to review RPO in conjunction with revenue and other financial metrics disclosed elsewhere in this Quarterly Report on Form 10-Q.

RPO was $225.4 million as of January 31, 2026, which includes $53.0 million of non-cancellable commitments where actual product selection and quantities of specific products or services will be determined at a later date. RPO was $235.1 million as of April 30, 2025.

RPO as of January 31, 2026 is comprised of $40.0 million related to deferred revenue and $185.4 million of commitments from non-cancellable contracts. Our RPO as of April 30, 2025 was comprised of $36.6 million related to deferred revenue and $198.5 million of commitments from non-cancellable contracts.

RPO excludes amounts related to monthly usage-based runtime and hosting charges.

Initial Production Deployment

C3 AI generally engages customers through an “Initial Production Deployment” agreement, or IPD, (formerly known as “Pilot”), delivering pre-configured, industry-specific production-grade Enterprise AI application within weeks.

An IPD agreement may include developer access to the C3 Agentic AI Platform, one C3 AI Application or C3 Generative AI and COE support services. Following the initial production deployment period, customers either pay a monthly fee and consumption charges using vCPU and vGPU hours as the metric to calculate payment or enter into a time-certain multi-period commitment that may include consumption charges.

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We consider the initial production deployment count as a key business metric, as it reflects trends in market penetration and customer acquisition.

We count an agreement as an initial production deployment agreement when an agreement meeting the characteristics of initial production deployment as described above is executed with the cus

[Excerpt truncated for page length; source filing is linked above.]

## Latest 10-K MD&A (excerpt)

Latest 10-K Item 7 source: https://www.sec.gov/Archives/edgar/data/1577526/000157752626000078/ai-20260430.htm
Complete FY 2026 MD&A: /company/AI/mda/fy2026/

Extracted structurally from real Item 7 body heading to real Item 7A/8 boundary.
Confidence: high
Filing date: 2026-06-24
Report date: 2026-04-30

ITEM 7. MANAGEMENT’S DISCUSSION AND ANALYSIS OF FINANCIAL CONDITION AND RESULTS OF OPERATIONS

The following discussion and analysis of our financial condition and results of operations should be read in conjunction with our consolidated financial statements and related notes appearing elsewhere in this Annual Report on Form 10-K. This discussion, particularly information with respect to our future results of operations or financial condition, business strategy and plans, and objectives of management for future operations, includes forward-looking statements that involve risks and uncertainties as described under the heading “Special Note Regarding Forward-Looking Statements” in this Annual Report on Form 10-K. You should review the disclosure under the heading “Risk Factors” under Part I, Item 1A in this Annual Report on Form 10-K for a discussion of important factors that could cause our actual results to differ materially from those anticipated in these forward-looking statements. Unless the context otherwise requires, all references in this report to “C3.ai,” “C3 AI,” the “Company”, “we,” “our,” “us,” or similar terms refer to C3.ai, Inc. and its subsidiaries.

Unless otherwise stated, references to particular years, quarters, months or periods refer to our fiscal years ended April 30 and the associated quarters, months and periods of those fiscal years.

A discussion regarding our financial condition and results of operations for the fiscal year ended April 30, 2026 compared to the fiscal year ended April 30, 2025 is presented below. A discussion regarding our financial condition and results of operations for the fiscal year ended April 30, 2025 compared to the fiscal year ended April 30, 2024 can be found in “Management’s Discussion and Analysis of Financial Condition and Results of Operations” in Part II, Item 7 of our Annual Report on Form 10-K for the fiscal year ended April 30, 2025, filed with the Securities and Exchange Commission, or SEC, on June 23, 2025.

Overview

C3 AI is an Enterprise AI application software company.

We have built a family of software applications that enable our customers to rapidly develop, deploy, and operate large-scale Enterprise AI applications. Customers can deploy C3 AI solutions on major public cloud infrastructures, private cloud or hybrid environments, or directly on their servers and processors. We have five core product areas, which we collectively refer to as our “C3 AI Software”:

•C3 Agentic AI Platform, our core technology, is a comprehensive, end-to-end application development and runtime environment that is designed to allow our customers to rapidly design, develop, and deploy Enterprise AI applications. The C3 Agentic AI Platform enables the creation of enterprise-grade AI agents that can autonomously perceive data, reason over complex systems, and take action to achieve defined business goals. These agents operate within secure, governed workflows and integrate seamlessly across the enterprise, delivering trusted, high-impact outcomes at scale.

•C3 AI Studio, is the integrated development environment in the C3 Agentic AI Platform that enables engineers, data scientists, and increasingly business analysts, to design, build, test, and deploy AI applications.

•C3 AI Applications, built using the C3 Agentic AI Platform, is a portfolio of pre-built, extensible, industry-specific and application-specific SaaS Enterprise AI applications that can be rapidly installed and deployed.

•C3 Generative AI, combines the utility of LLMs, agentic AI, generative AI, reinforcement learning, natural language processing, and the C3 Agentic AI Platform to reflect, collaborate, and execute complex workflows.

•C3 Code, enables users to build, configure, and deploy a complete, production-grade Enterprise AI applications automatically — including data pipelines, AI models, business logic, security controls, and user interfaces — using natural language instructions. C3 Code orchestrates multiple AI agents working in parallel against an organization's enterprise data, designed to significantly reduce the time and specialized resources required to develop and deploy enterprise AI applications.

These solutions, and our patented model-driven architecture, enable organizations to simplify and accelerate Enterprise AI application development, deployment, and administration. We significantly reduce the effort and complexity of the AI software engineering problem.

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How We Generate Revenue

We generate revenue primarily from the sale of subscriptions, which accounted for 91%, 84% and 90% of our total revenue in the fiscal years ended April 30, 2026, 2025 and 2024, respectively. Our cloud-native software offerings allow us to manage, update, and monitor the software regardless of whether the software is deployed in our public cloud environment, in our customers’ self-managed private or public cloud environments, or in a hybrid environment.

We primarily recognize revenue from subscriptions on a ratable basis over the contract term or on a usage basis for consumption-based arrangements. We also recognize revenue upon delivery to the customer for software licenses that do not require maintenance and support services. In addition, customers typically pay a usage-based runtime fee for production use of our C3 AI Software for specified levels of capacity. Customers who choose to run the software in our cloud environment pay the hosting costs charged by our cloud providers. We deploy a consumption-based pricing model, beginning with an initial production deployment phase which may include access to the C3 Agentic AI Platform, one or more C3 AI Applications or C3 Generative AI, and C3 AI Center of Excellence, or COE support services. Following the initial production deployment period, customers either pay a monthly fee and consumption charges using virtual Central Processing Unit or vCPU and virtual Graphics Processing Unit or vGPU hours as the metric to calculate payment or enter into a time-certain multi-period commitment that may include consumption charges. Our subscriptions also include our maintenance and support services. Additionally, we offer premium stand-ready support services through our C3 AI COE which is included as part of the subscription when purchased.

We also generate revenue from professional services, which primarily include prioritized engineering services and services fees. Professional services revenue represented 9%, 16% and 10% of our total revenue for the fiscal years ended April 30, 2026, 2025 and 2024, respectively.

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 as well as other terms, such as relevant specifications. When the software feature is delivered, it becomes integrated to our core product offering, is available to all subscribers of the underlying software product in the subsequent general release, 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. Prioritized engineering services revenue is recognized as professional services over the period in which the software development is completed. Prioritized engineering services accounted for 78%, 70% and 80% of total professional services revenue for the fiscal years ended April 30, 2026, 2025 and 2024, respectively.

Service fees include revenue from services such as consulting, training, and paid implementation services. For service fees, revenue is typically recognized over time as the services are performed.

Our total revenue was $250.3 million for the fiscal year ended April 30, 2026, representing a 35.7% decrease compared to the prior fiscal year. Our subscription revenue was $227.1 million for the fiscal year ended April 30, 2026, representing a 31% decrease compared to the prior fiscal year. Our professional services revenue was $23.2 million for the fiscal year ended April 30, 2026, representing 62% decrease compared to the prior fiscal year.

Go-to-Market Strategy

Our go-to-market strategy has been historically focused on large organizations recognized as leaders in their respective industries or public sectors that are attempting to solve complicated business problems by digitally transforming their operations. These large organizations, or lighthouse customers, include companies and public agencies within the oil and gas, power and utilities, aerospace and defense, industrial products, life sciences, and financial services industries, among others. This has resulted in C3 AI powering some of the largest and most complex Enterprise AI applications. These lighthouse customers serve as proof points for other potential customers in their respective industries. As a result, we have a customer base of a relatively small number of large organizations that generate high average total subscription contract value, but we expect that, over time, as more customers adopt our technology based on the proof points provided by these lighthouse customers, the revenue represented by these lighthouse customers will decrease as a percentage of total revenue. As our C3 Agentic AI Platform and much of our other C3 AI software are industry agnostic, we also expect to expand into other industries.

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Our go-to-market strategy includes a way for new customers to subscribe to our products at smaller initial contract sizes and pay for services based on their monthly consumption of vCPU and vGPU hours or at fixed rates. Customers generally begin with a short proof of value or one to two-quarter-long initial production deployment agreements which includes the necessary resources required to deploy the C3 Agentic AI Platform and/or C3 AI Applications and receive necessary training to operate and maintain the software in production use. Following the initial production deployment period, customers either pay a monthly fee and consumption charges using vCPU and vGPU hours utilized as the metric to calculate payment or enter into a time-certain multi-period commitment that may include consumption charges.

Acquiring new customers and expanding our business with our existing customers is the purpose of our go-to-market effort and drives our growth. Making new and existing customers successful is critical to our long-term success. After we help our customers solve their initial use cases, they frequently identify incremental opportunities within their operations and expand their use of our products. The increased engagement is measured by a combination of increased vCPU/vGPU usage, increased C3 AI Software subscriptions and subscriptions to the C3 Agentic AI Platform for in-house AI application development.

The size and sophistication of our customers’ businesses demonstrate the flexibility, speed, and scale of our products, and maximize the potential value to our customers. To be a credible partner to our customers, who often are industry leaders, we deploy an experienced and highly educated team of C3 AI personnel and partners. We also complement and supplement our sales force with a number of go-to-market partners.

•Industry Partners. We have developed an alliance program to partner with recognized leaders in their respective industries, such as Baker Hughes and, Booz Allen Hamilton; to develop, market, and sell solutions that are natively built on or tightly integrated with the C3 Agentic AI Platform.

•Hyperscale Cloud and Infrastructure. We have formed global strategic go-to-market alliances with hyperscale cloud providers includin

[Excerpt truncated for page length; the complete text is on the linked full-MD&A page.]

Read the full FY 2026 MD&A: /company/AI/mda/fy2026/
All MD&A years: /company/AI/mda/


## MD&A history

Prior-year 10-K MD&A spans are extracted from SEC filings with the same bounded parser used for the latest filing. Each year's full verbatim text is on its own sub-page.

- [FY 2025 MD&A](/company/AI/mda/fy2025/): filed 2025-06-23; accession 0001628280-25-032604 (https://www.sec.gov/Archives/edgar/data/1577526/000162828025032604/ai-20250430.htm)
- [FY 2024 MD&A](/company/AI/mda/fy2024/): filed 2024-06-18; accession 0001628280-24-028786 (https://www.sec.gov/Archives/edgar/data/1577526/000162828024028786/ai-20240430.htm)
- [FY 2023 MD&A](/company/AI/mda/fy2023/): filed 2023-06-22; accession 0001628280-23-022983 (https://www.sec.gov/Archives/edgar/data/1577526/000162828023022983/ai-20230430.htm)
- [FY 2022 MD&A](/company/AI/mda/fy2022/): filed 2022-06-23; accession 0001628280-22-017829 (https://www.sec.gov/Archives/edgar/data/1577526/000162828022017829/ai-20220430.htm)




## Macro cross-references

Indicators mapped to this company's SIC classification (industry 7372 Services-Prepackaged Software) by grepcent's deterministic macro-sector crosswalk. A navigational mapping, not a statistical or causal claim.

- [PAYEMS](/indicator/PAYEMS/): All Employees, Total Nonfarm
- [CES0500000003](/indicator/CES0500000003/): Average Hourly Earnings of All Employees, Total Private
- [DGS10](/indicator/DGS10/): Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity

Macro-to-micro threads including this sector: [US labor market](/thread/us-labor-market/), [Growth & output](/thread/growth-output/), [Government finances](/thread/government-finances/), [Sector employment](/thread/sector-employment/).

All macro indicators: /indicators/


## For LLMs & downloads

Markdown twin: /company/AI.md · JSON record: /company/AI.json · verified financials: /company/AI/financials.json / /company/AI/financials.csv · machine TOC for the whole site: /llms.txt