C3.ai, Inc. (AI) Q3 2026 Earnings Call Transcript
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
Overview
The earnings call highlighted disappointing sales in key regions, competitive pressures, and ongoing restructuring that may disrupt operations. Despite strong federal bookings, overall financial performance showed no improvement, with significant losses and negative cash flow. The Q&A revealed efforts to improve efficiency and growth, but concerns about market penetration and sales execution persist. The company's market cap suggests moderate sensitivity to these factors, leading to a likely negative stock price movement of -2% to -8% over the next two weeks.
Key Financial Performance
Total Revenue $53.3 million, no year-over-year change or reasons mentioned.
Subscription Revenue $48.2 million, representing 90% of total revenue, no year-over-year change or reasons mentioned.
Professional Services Revenue $5.1 million, of which $3.3 million was from prioritized engineering services (PES), representing 10% of total revenue, no year-over-year change or reasons mentioned.
Bookings $46.9 million, no year-over-year change or reasons mentioned.
Non-GAAP Gross Profit $19.6 million with a non-GAAP gross margin of 37%, no year-over-year change or reasons mentioned.
Non-GAAP Gross Margin for Professional Services 82%, no year-over-year change or reasons mentioned.
Non-GAAP Operating Loss $63.4 million, no year-over-year change or reasons mentioned.
Non-GAAP Net Loss $56.4 million or $0.40 per share, no year-over-year change or reasons mentioned.
Free Cash Flow Negative $56.2 million, no year-over-year change or reasons mentioned.
Cash, Cash Equivalents, and Marketable Securities $621.9 million, no year-over-year change or reasons mentioned.
Federal, Defense, and Aerospace Bookings Increased by 134% year-over-year, accounting for 55% of total bookings. The increase is attributed to strong traction in the federal business and demand for secure enterprise-scale AI platforms.
You have reached the limit. Sign up to access full content
Get started
Operating Highlights
AI and automation: Focus on AI and automation across business value chains, asset performance, supply chain optimization, and procurement for industries like energy, manufacturing, healthcare, and public sector.
Agentic AI: Leveraging Agentic AI to enhance productivity in sales, marketing, and engineering. Examples include faster sales proposal generation, website redesign, and improved coding tools.
Federal, defense, and aerospace: Strong traction with a 134% year-over-year increase in bookings, accounting for 55% of total bookings. New agreements with U.S. Department of Agriculture, Department of Energy, NATO, and others.
International demand: Growing adoption among allied defense organizations like Japan's Ministry of Defense and the U.K. Royal Navy.
Cost structure reduction: Identified $135 million in non-GAAP operating expense reductions, including a 26% reduction in headcount, saving $60 million annually.
Sales organization restructuring: Flattened sales organization with leadership reporting directly to the CEO to improve accountability and speed.
Increased productivity: Using AI to automate operations across engineering, marketing, and finance, leading to significant productivity gains.
Strategic reset: Five initiatives: cost reduction, sales restructuring, focus on best-in-class applications, prioritizing large-scale transformations, and increasing product development velocity.
Focus on enterprise AI: Prioritizing large-scale enterprise-wide transformations and accelerated proofs of concept to demonstrate economic value quickly.
You have reached the limit. Sign up to access full content
Get started
Risk or Challenges
Financial Performance: The company reported inadequate results for the quarter, with revenue of $53.3 million and a non-GAAP operating loss of $63.4 million. Free cash flow was negative $56.2 million, indicating financial strain.
Cost Structure: The company's cost structure was deemed too high, necessitating a restructuring plan to reduce expenses by $135 million annually, including a 26% reduction in headcount. This could impact employee morale and operational continuity.
Sales Performance: Sales performance in North America and Europe was disappointing, failing to meet business closure targets. This highlights challenges in market penetration and sales execution.
Market Competition: The enterprise AI market is crowded with fragmented point solutions, creating competitive pressures for the company to differentiate itself and capture market share.
Operational Restructuring: The company is undergoing significant restructuring, including flattening the sales organization and realigning resources. While aimed at improving efficiency, such changes may disrupt operations in the short term.
Economic Uncertainty: The company faces economic uncertainties, as evidenced by its focus on reducing cash burn and achieving profitability amidst a challenging financial environment.
Customer Retention and Expansion: While the company reported strong federal bookings, it must maintain and expand its customer base to ensure long-term growth, especially in the commercial sector.
You have reached the limit. Sign up to access full content
Get started
Guidance & Outlook
Rightsizing cost structure: The company is immediately rightsizing its cost structure and reducing cash burn, with identified expense reductions of $135 million in non-GAAP operating expenses for the coming year. This includes a 26% reduction in headcount, amounting to $60 million in headcount-related changes.
Sales organization restructuring: The sales organization is being flattened, with proven sales leaders now reporting directly to the CEO. This aims to remove friction, increase accountability, and align resources more effectively around market opportunities.
Product focus: The company is concentrating on product areas where it has clear market leadership and a demonstrated track record of success, such as AI and automation across business value chains, asset performance, supply chain optimization, and procurement for industries like energy, manufacturing, healthcare, and public sector.
Sales motion prioritization: The company is prioritizing large-scale enterprise-wide transformations with accelerated proof of value, focusing on bookings and remaining performance obligations (RPO).
Increased development velocity: The company has reengineered the way it designs and delivers product offerings, leveraging Agentic AI to increase productivity across various functions, including sales, marketing, and engineering.
Revenue guidance for Q4 FY26: The company expects revenue for Q4 FY26 to be between $48 million and $52 million.
Revenue guidance for FY26: The company expects revenue for FY26 to be between $246.7 million and $250.7 million.
Non-GAAP loss from operations for Q4 FY26: The company expects a non-GAAP loss from operations for Q4 FY26 to be between $56 million and $64 million.
Non-GAAP loss from operations for FY26: The company expects a non-GAAP loss from operations for FY26 to be between $219.5 million and $227.5 million.
Restructuring expenses: The company expects pretax restructuring expenses of approximately $10 million to $12 million for Q4 FY26.
You have reached the limit. Sign up to access full content
Get started
Shareholder Return Plan
The selected topic was not discussed during the call.
You have reached the limit. Sign up to access full content
Get started
Key Q&A
Q:How would you characterize the quality of the IPDs and the total opportunity with those customers?
A:The company has implemented better qualification criteria for IPDs, focusing on the likelihood of generating economic value for customers and converting IPDs to production contracts. They are being selective to ensure higher conversion rates.
Q:How are you evaluating models from various providers at various price points, especially as you lean towards Agentic coding?
A:The company has built a model-agnostic architecture driven by customer demands, allowing flexibility in model selection based on use cases. Internally, employees are given flexibility to use models that work best for them across various departments, and they are seeing success with a wide range of models.
Q:How did you approach the 36% reduction in sales and marketing costs, and what can we expect from an investment in growth versus cost efficiency mindset going forward?
A:The cost reduction was applied across all locations and functions, focusing on efficiency. The company compared its cost structure with peers and identified areas for improvement, including headcount reduction in sales and marketing and reduced marketing spend. The focus is on balancing cost efficiency with growth investments.
Q:How are customer conversations changing with respect to platform adoption, and what budgets are being used for AI projects?
A:Customer conversations are evolving rapidly, with CEOs seeking transformational AI investments rather than pilot projects. Customers aim for broad changes across departments, focusing on revenue growth and efficiency. Budgets are not limited to AI-specific ones but span various verticals and operations.
Q:How much of the business today is recurring in nature versus one-time, and how should we think about guide visibility for fiscal year '27?
A:90% of the revenue this quarter came from subscription, with the remaining 10% from professional services. There was no nonrecurring subscription revenue in the quarter.
Q:What caused the weakness in North America and Europe during the quarter?
A:The weakness was attributed to sales execution issues. The CEO plans to address this by flattening the organization and applying successful strategies from the federal space to North America and EMEA.
Q:Review of Unclear Management Responses
A:None of the questions were avoided or lacked clarity. All responses were direct and provided sufficient detail.
You have reached the limit. Sign up to access full content
Get started
Earnings Word Cloud
The most frequently occurring keywords in this quarter's earning call
Communications Information
Department Agriculture
Department Energy
Information Agency
NATO Communications
Royal Navy
aerospace booking
burn sale
chain asset
cost structure
defense aerospace
enterprise scale
enterprise transformation
expense reduction
function
goal
order magnitude
ownership
partner employee
plan cost
priority
product engineering
productivity people
proof value
reliability
scale enterprise
solution
speed resource
velocity
week product
AI Transcript
C3.ai, Inc. (AI) Q4 2026 Earnings Call Transcript
Unknown6-3
The earnings call reveals a challenging situation: stagnant revenue, significant operational losses, and a drop in revenue from the previous year due to poor sales execution. Despite restructuring efforts and a focus on AI, management's inability to provide clear guidance or details on key contracts is concerning. The market strategy appears uncertain, and while cost-cutting measures are in place, the lack of positive financial performance and unclear future guidance suggest a negative sentiment. Given the company's mid-sized market cap, the stock is likely to experience a negative reaction.
C3.ai, Inc. (AI) Presents at Morgan Stanley Technology, Media & Telecom Conference 2026 Transcript
Neutral3-2
C3.ai, Inc. (AI) Q3 2026 Earnings Call Transcript
Unknown2-25
The earnings call highlighted disappointing sales in key regions, competitive pressures, and ongoing restructuring that may disrupt operations. Despite strong federal bookings, overall financial performance showed no improvement, with significant losses and negative cash flow. The Q&A revealed efforts to improve efficiency and growth, but concerns about market penetration and sales execution persist. The company's market cap suggests moderate sensitivity to these factors, leading to a likely negative stock price movement of -2% to -8% over the next two weeks.
Sanofi (SAN:CA) Presents at Citi Annual Global Healthcare Conference 2025 Transcript
Neutral12-3
AI Slides
AI Report
Frequently Asked Questions
Where does this earnings call transcript come from?
All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.
How soon is the transcript available after the earnings call ends?
Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.
Is the transcript edited or altered in any way?
No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.
Why do some answers appear as “Unclear” or “Inaudible”?
When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.
Who creates the AI Summary and Key Q&A highlights shown above the transcript?
They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.
