Snapshot: Executive Summary
C3.ai, Inc. is the cleanest small/mid-cap public pure-play on "enterprise generative AI" software, a positioning that drove the stock to ~$45 in early 2025 on AI-narrative enthusiasm. The fundamentals have not kept pace with the multiple. FY25 (May 2024–April 2025) revenue was $390M with non-GAAP operating margin of −27%; FY26 guidance is $420-430M with margins essentially unchanged1. Cash and investments have declined from $989M (FY22) to ~$678M (Q2 FY26), with the company funding losses out of the IPO/follow-on proceeds, not from operations.
The bear thesis rests on three pillars:
- Customer concentration. Shell plc is estimated to account for ~30% of total revenue through the multi-year Shell-C3.ai enterprise AI partnership. Combined with U.S. federal / DoD work (~22%) and Baker Hughes (~12%), the top three customers represent ~65% of revenue. Concentration of this magnitude in a public enterprise-software name is highly unusual and structurally limits the multiple.
- Persistent unprofitability. Operating margin has been more negative each year for three years (FY22 −12% → FY25 −27%) despite revenue growth. The path to profitability, repeatedly framed by management as 2-3 years away, has been pushed out at each annual frame refresh. Cash burn is ~$120-150M per year against $678M remaining.
- Competitive squeeze from hyperscalers. Microsoft Azure OpenAI Service, AWS Bedrock, and Google Vertex AI offer enterprise-grade generative AI deployment with native cloud integration. The C3.ai value proposition (industry-specific AI applications, deployment platform) is increasingly displaced by hyperscaler-native offerings that bundle compute, model, and tooling.
At ~6x NTM EV/Sales, AI trades at a substantial discount to profitable enterprise-AI comparables (PLTR ~60x, SNOW ~13x), the discount is appropriate, but compresses further as the customer-concentration and runway concerns mature. Initiate at Sell, 12-month PT $15 via EV/Sales scenarios (Bull $25 / Bear $8). Probability-weighted blended fair value ~$15, closely tracks the headline. Shell renewal terms and the FY27 operating-margin trajectory are the two data points that would alter the thesis.
Tactical: AI is trading at $22, ~32% downside to our $15 12-month target, the implied compression reflects our view that current revenue growth does not justify the multiple given negative operating margin, customer concentration, and a runway that limits strategic optionality. Rating Sell.
Investment Thesis
Bull Case
- FY27 revenue accelerates to $550M+ (vs $475M base)
- Non-GAAP op margin improves to −15% (still negative but closer to break-even)
- Shell renews multi-year contract at expanded scope
- Baker Hughes oil-and-gas vertical expansion delivers
- Multiple holds at 6x EV/Sales as narrative regains traction
Base Case
- FY27 revenue $475M (modest 10-15% growth)
- Op margin stays −25 to −30%, no inflection
- Shell concentration persists; no new mega-customer
- Cash declines toward $500M warranting strategic action
- Multiple compresses to 4x EV/Sales
Bear Case
- Shell terminates or materially reduces (~30% revenue loss)
- FY27 revenue compresses to $400M; op margin to −35%
- Cash position approaches $400M warranting dilutive raise
- Tom Siebel succession question emerges; key-person risk
- Multiple compresses to 2x EV/Sales (unprofitable-SaaS trough)
Rating: Sell. Probability weights: 20% Bull / 50% Base / 30% Bear → blended fair value ~$15, closely tracks the headline PT, indicating the rating is supported across the scenario distribution rather than anchored solely on the downside. The 30% bear weight reflects elevated runway and concentration risks; the 20% bull weight acknowledges Shell renewal is more likely than not, but does not require execution heroics. This is the library's first explicit Sell rating, providing analytical range across the seven categories.
Business Overview
C3.ai, Inc. (NYSE: AI) sells enterprise AI software, both pre-built industry applications (predictive maintenance, supply-chain optimization, customer churn prediction) and a development platform (C3 AI Suite, more recently C3 Generative AI Platform). The company is headquartered in Redwood City, California; the founder, Chairman, and CEO is Tom Siebel, who previously founded Siebel Systems (acquired by Oracle, 2006). The fiscal year ends approximately April 30.
Revenue mix and trajectory
Revenue history ($M)
Revenue: $253M (FY22) → $267M (FY23) → $311M (FY24) → $390M (FY25). FY26 guidance ~$420-430M. The shape is modest growth despite the "AI" branding and 2023 generative-AI narrative tailwind. FY26 deceleration to ~9% growth from FY25's 25% is a meaningful negative inflection.
Subscription / professional services mix shift
Revenue mix: subscription vs services ($M)
Professional services revenue jumped from ~$60M (FY24) to ~$100M (FY25), a deliberate transition toward consumption-based pricing announced in early 2024. The transition reduced reported gross margins (services are lower-margin than subscription) and is a structural drag on the path-to-profitability story.
RPO trajectory: the leading indicator
Remaining Performance Obligations ($M)
RPO grew from $479M (FY23) to $645M (FY25) but has compressed to $580M in Q2 FY26, the first sequential decline in two years. RPO compression typically precedes revenue weakness by 2-4 quarters. Watch for stabilization or continued decline at the Q3 FY26 print.
The Siebel factor
Tom Siebel is the single most important person at C3.ai. He is the founder, chairman, CEO, and largest individual shareholder. He is highly involved in customer relationships (especially Shell and the federal/DoD book) and is the company's most credible spokesperson for the enterprise-AI thesis. Siebel-founded companies have a mixed history: Siebel Systems (acquired by Oracle for $5.85B in 2006) is widely viewed as a CRM-software triumph. But Siebel-led C3.ai has not repeated that financial outcome, revenue scale today is roughly 1/3 of what Siebel Systems achieved at peak. Key-person concentration is itself a risk to monitor.
Customer Concentration & Profitability Path
The most important section. Combining the two structurally bearish facts of C3.ai, high customer concentration and persistent negative operating margin, into a single analytical view because they reinforce each other. Concentration limits the operating-leverage story; absent leverage, the path-to-profitability cannot deliver; absent that path, the multiple compresses.
Pillar 1: Customer concentration
FY25 revenue concentration (estimated)
Shell ~30% · U.S. Federal / DoD ~22% · Baker Hughes ~12% · State & Local Gov ~10% · Other enterprise ~26%. Estimates derived from 10-K customer concentration disclosure, joint-venture commentary, and DoD contract announcements. Top three customers ~65% of revenue. The DoD work (~22%) is multi-contract but structurally captive; Shell (~30%) is single-customer concentration of a kind rarely seen in enterprise software.
The Shell relationship in detail
- Origin: Long-running enterprise AI partnership starting ~2018. Shell uses C3.ai applications for predictive maintenance, energy operations optimization, supply-chain analytics.
- Commercial structure: Consumption-based pricing (announced shift from subscription, early 2024), Shell pays per-deployment, per-usage. Multi-year commitment, but the specific terms are not publicly disclosed.
- Renewal cycle: Not disclosed; estimates suggest Shell's current commitment extends through FY27 with re-negotiation expected late FY27 / early FY28.
- The single binary risk: If Shell ends the partnership, C3.ai revenue compresses ~30% nearly overnight. If Shell expands the partnership, the bull case materially strengthens. The asymmetry of this single relationship dominates the bear thesis.
The federal / DoD book
U.S. federal government (estimated ~22% of revenue) includes Air Force predictive maintenance, intelligence community analytics, and various smaller programs. The DoD book is structurally stickier than the Shell relationship (multiple contracts, slower decision-making) but is subject to budget cycles, contracting rules, and the small-business competition introduced by 8(a) procurement preferences. The bull view treats federal as durable; the bear view notes federal AI procurement is increasingly steered toward Microsoft Azure Government and AWS GovCloud rather than third-party application vendors.
Pillar 2: The profitability path
Non-GAAP operating margin (%)
FY22 −12% → FY23 −14% → FY24 −22% → FY25 −27% → Q1 FY26 −29%, Q2 FY26 −28%. The trajectory is wrong direction: margins are getting more negative, not less, despite revenue growth. Management has framed "approaching profitability" in successive 2-3 year horizons since 2022; the FY27 frame today places break-even in FY29.
Why the path keeps getting pushed
- The consumption pricing transition. Announced early 2024, this shifted revenue recognition from subscription (recognized over contract life) to consumption (recognized as used). The transition added near-term revenue volatility and structurally reduced margin recognition pace.
- Generative AI R&D investment. Building the C3 Generative AI platform required substantial 2023-2024 R&D investment that has not yet generated proportional revenue.
- Customer-acquisition costs. Sales & marketing remains ~50%+ of revenue, a heavy spend for what is effectively a relationship-led enterprise sales motion (Tom Siebel personally involved in major accounts).
- Professional services dilution. Mentioned above, services are lower-margin than subscription and have grown faster.
What an inflection would look like
For the profitability path to inflect, we would need to see: (a) operating margin improving in two consecutive quarterly prints (not just one); (b) S&M ratio declining as a percentage of revenue (currently flat); (c) RPO bookings re-accelerating; (d) revenue growth accelerating beyond the FY26 ~9% guide. None of these are present today. The bull case requires all four to begin appearing across FY27. Without them, the multiple should rest at unprofitable-SaaS lows.
Competitive Landscape
C3.ai's market position is structurally challenged from two directions: hyperscalers building native enterprise-AI offerings, and profitable enterprise-AI peers commanding higher multiples that effectively limit C3.ai's strategic options. The competitive dynamic is the medium-term existential question.
Hyperscaler-native enterprise AI
| Hyperscaler offering | What it does | Why it competes |
|---|---|---|
| Microsoft Azure OpenAI Service | Direct API access to GPT-4 family + Azure-native deployment, governance, security | Enterprises with Azure footprint default to native integration. No third-party platform layer needed. |
| AWS Bedrock | Multi-model marketplace (Anthropic Claude, Meta Llama, Amazon Titan) with AWS-native deployment | AWS-incumbent enterprises do not need an external "enterprise AI platform"; Bedrock is the platform. |
| Google Vertex AI | Gemini family models + AutoML + MLOps tooling, GCP-native | For GCP-heavy enterprises, Vertex replaces the C3.ai value proposition end-to-end. |
| Salesforce Agentforce | Agentic AI inside the CRM, embedded in the system of record | For CRM-led AI use-cases, Salesforce is the natural choice. |
| Snowflake Cortex AI | AI inside the data cloud, where the enterprise data already lives | For data-warehouse-led AI deployments, Snowflake captures the value at the data layer. |
Enterprise-AI public peers
The closest public-market comparable is Palantir (PLTR), which has demonstrated that profitable enterprise-AI software at scale can command a 60x EV/Sales multiple. The PLTR comparison is unflattering for C3.ai: PLTR has Q3 2025 revenue of ~$2.6B (annualized vs C3.ai $390M), positive operating margin (~25% non-GAAP), and the U.S. Army TITAN program (multi-hundred-million-dollar deal). C3.ai's enterprise-AI thesis is structurally similar but financially inferior at every metric.
| Metric | AI (C3.ai) | PLTR (Palantir) | SNOW (Snowflake) |
|---|---|---|---|
| Revenue (annualized) | ~$420M | ~$3.0B | ~$4.0B |
| YoY growth | ~9% | ~35% | ~28% |
| Non-GAAP op margin | −27% | +30% | +10% |
| Customer concentration top 1 | ~30% (Shell) | <10% | <5% |
| NTM EV/Sales | ~6x | ~60x | ~13x |
The disintermediation question
C3.ai's value proposition depends on enterprises wanting an industry-specific AI application layer rather than building on hyperscaler primitives directly. That proposition was strong when LLMs were exotic and integration was hard. By 2025-2026, hyperscalers have made native integration cheap and well-documented. The category of "third-party enterprise AI application platform" is increasingly questionable, the work is being done either by hyperscalers (bottom-up) or by Palantir-style high-touch deployment shops (top-down). C3.ai's mid-market enterprise software positioning is being squeezed from both ends.
Financial Health & Trends
Q2 FY26 print highlights
| Metric | Q2 FY26 actual | YoY | vs cons |
|---|---|---|---|
| Revenue | $103M | +5% | in-line |
| Subscription revenue | ~$78M | +1% | miss |
| Professional services | ~$25M | +22% | beat |
| Non-GAAP gross margin | 59.5% | −4.5pp | miss |
| Non-GAAP op margin | −28.2% | −1.5pp | miss |
| Non-GAAP EPS | ($0.22) | −$0.04 | miss |
| RPO | $580M | −4% | concerning |
| FCF | −$45M | worse YoY | miss |
| FY26 revenue guide | $420-430M | +8-10% YoY | maintained |
Q2 FY26 was a clear "bear thesis intact" print: subscription revenue +1% YoY (the structurally important line), GM down 450bps, RPO down sequentially, FCF more negative. The FY26 revenue guide was maintained but is increasingly reliant on H2 strength that is not visible in the bookings book.
Three-year P&L summary
| $M unless noted | FY23 | FY24 | FY25 | FY26E |
|---|---|---|---|---|
| Revenue | 267 | 311 | 390 | 425 |
| YoY growth | 6% | 16% | 25% | 9% |
| Subscription revenue | 240 | 252 | 290 | 315 |
| Professional services | 27 | 59 | 100 | 110 |
| Non-GAAP gross profit | 183 | 222 | 250 | 265 |
| Non-GAAP GM | 69% | 71% | 64% | 62% |
| S&M | 137 | 175 | 206 | 225 |
| R&D | 134 | 165 | 180 | 190 |
| G&A | 50 | 55 | 58 | 62 |
| Non-GAAP op income | (38) | (68) | (105) | (115) |
| Non-GAAP op margin | (14%) | (22%) | (27%) | (27%) |
| FCF | (50) | (95) | (135) | (140) |
Negatives shown in (parentheses) per house convention. The story in one table: revenue growing, gross margin compressing (services mix), opex growing faster than revenue, op losses widening, FCF more negative. The trajectory is not consistent with a "approaching profitability" narrative.
Capital Allocation & Runway
Cash & investments trajectory ($M)
Cash position: $989M (FY22 end) → $832M (FY23) → $762M (FY24) → $712M (FY25) → $678M (Q2 FY26). Annual cash decline ~$120-150M, accelerating slightly in FY26. At current cadence: ~$540M by end FY27, ~$390M by end FY28. The amber-to-red color coding reflects the consumption rate.
The runway clock
- Current balance: ~$678M cash and investments (Q2 FY26).
- Annual cash burn (FCF): ~$130M FY25, accelerating to ~$140M FY26E.
- Implied runway at current cadence: ~4.5-5 years before the cash position approaches the $200M floor that would force a strategic action.
- The "strategic action" branches: (a) significant operating-margin improvement that closes the burn before the floor; (b) equity raise (dilutive at current multiple); (c) acquisition (most likely outcome from a buyer's-market perspective).
No buyback. No dividend.
Unlike profitable enterprise-software peers, C3.ai has no buyback program or dividend. The cash is being consumed by operations, not returned to shareholders. This is appropriate for a growth-stage unprofitable company but compounds the dilution narrative: stock-based compensation (~$120M annually) effectively diluted shareholders ~3-4% per year. Combined with the cash burn, the cumulative dilution + capital-consumption pressure is meaningful even without an outright raise.
Insider transactions
Tom Siebel has historically held a substantial position in C3.ai (10b5-1 plans have generated periodic, scheduled sales). Significant accelerated insider selling, beyond scheduled plans, would be a meaningful tell on confidence in the FY27-FY28 trajectory. Monitor Form 4 filings monthly.
The acquisition optionality
One bull-case scenario worth flagging: C3.ai could be acquired by a hyperscaler or a larger enterprise software incumbent (Microsoft, Oracle, SAP, or even Palantir as a tuck-in). The acquisition price would likely be in the $25-35 range based on customer book + IP + brand value. We do not model this as the base case (M&A is hard to time and price), but acknowledge it as an upside-case event that would invalidate the Sell rating.
Valuation Overview
NTM EV/Sales history: AI vs PLTR
AI's multiple compressed sharply post-2021 (22x → 8x); rerated briefly into 2024 on AI narrative; back to 6x by late 2025. PLTR has gone the opposite direction, from 15x (2021) to ~60x (2025), driven by profitability and growth divergence. The split tells the story.
Peer NTM EV/Sales
AI at 6x sits between profitable enterprise-software peers (PLTR 60x, SNOW 13x, MDB 10x) and unprofitable / lower-growth peers (PATH 3.5x, PEGA 5x). The placement is appropriate given the profitability and growth profile; further compression toward PATH levels is the bear path.
Why EV/Sales over P/E for C3.ai
P/E is not usable: non-GAAP EPS is negative through FY27E and GAAP EPS through at least FY29E. Forward P/E does not exist as a useful anchor. EV/Sales is the right lens because (a) revenue is the only currently-measurable scale metric, (b) net cash position is meaningful relative to enterprise value, (c) the peer set (enterprise-AI software) is uniformly valued on EV/Sales by sell-side and buy-side.
Why the multiple is what it is
C3.ai's 6x multiple is a compressed average of three things the market is grading: (a) AI-narrative premium (positive, keeps multiple above PATH's 3.5x); (b) revenue scale / growth (mixed, modest growth limits upside); (c) profitability and concentration (negative, pulls multiple down). Each year that the profitability inflection does not appear, the AI-narrative premium erodes a bit further. Bull case requires re-establishing the premium; bear case is continued erosion.
What a "fair" multiple would look like
For a company at C3.ai's growth rate (~10-15% sustainable) and op margin (−25%, with no near-term inflection), a fair EV/Sales multiple in normalized markets is 3-5x. The 6x today reflects residual AI-narrative premium and the optionality of either (a) profitability inflection or (b) acquisition. Without both of those, multiple compression toward 4x is the structural direction. We use 4x as the base-case multiple.
EV/Sales Scenario Model
FY27E revenue × EV/Sales multiple = enterprise value, plus net cash, divided by diluted shares = forward fair value, discounted one year at 15% (small/mid-cap unprofitable-software risk premium) to today's PT.
| Step | Value |
|---|---|
| FY27E revenue × multiple | $475M × 4.0x |
| Enterprise value (EV) | $1,900M |
| Plus: net cash | +$400M |
| Equity value | $2,300M |
| ÷ Diluted shares | 150M |
| Forward fair value (FY27 horizon) | $15.33 |
| × One-year discount | −15% |
| 12-month price target | $13.03 |
| vs current market | — |
Sensitivity grid: FY27E revenue × EV/Sales multiple (PT in $)
Quick PT calculator
Risk / Reward calculator
Ask the Thesis AI-assisted checking…
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Upcoming Catalysts
| Catalyst | Window | Why it matters |
|---|---|---|
| Q3 FY26 print | Mar 2026 | Subscription revenue growth and RPO sequential trajectory are the two things to watch. RPO stabilization would be a positive signal. |
| Q4 FY26 print + FY27 initial guide | Jun 2026 | The most important data point. FY27 revenue and margin guide will set the multiple direction. |
| C3 Transform 2026 annual conference | typically May 2026 | Tom Siebel keynote. Customer announcements (especially Shell renewal or expansion). |
| Federal/DoD contract renewals | various FY26-FY27 | Multiple federal contracts up for renewal. Each adds or removes ~1-3% of revenue at the margin. |
| Insider transactions (Form 4) | ongoing | Accelerated selling by Siebel or other executives would signal stress; we monitor monthly. |
| Hyperscaler AI announcements (re:Invent, Ignite, etc.) | Q4 2026 | Hyperscaler-native enterprise AI capabilities each year erode C3.ai's positioning incrementally. |
| Potential M&A speculation | any time | Acquisition is the upside-case unwind. Rumor or named transaction would invalidate the Sell. |
Risk Factors (Including Upside Cases)
For a Sell rating, the conventional risk taxonomy inverts. We list both bear-case risks (the thesis is right, but for different reasons) and upside-case risks (the thesis is wrong). Upside-case risks are the more analytically important to surface because they are what could invalidate the rating.
Bear-case risks (downside drivers)
- Shell concentration tail. The largest single risk. If Shell ends or materially reduces the partnership at next renewal cycle (estimated late FY27), revenue compresses ~30% and the multiple structurally re-rates lower.
- RPO decline. RPO compressed Q2 FY26. Continued sequential decline at Q3 FY26 would confirm bookings weakness ahead of revenue.
- Federal procurement shifts. Federal AI spend is increasingly steered to Microsoft Azure Government / AWS GovCloud / Palantir, leaving less for third-party application vendors.
- Cash runway crunch. If burn accelerates beyond $150M/year, the runway clock tightens to under 3 years, at which point a dilutive raise becomes necessary, compressing the multiple further.
- Tom Siebel succession risk. Siebel is 73 (born 1952). Any succession announcement or health event would create immediate key-person stress and customer-relationship risk.
Upside-case risks (bear thesis could be wrong because…)
- Shell expansion. Shell could expand the partnership at next renewal, additional verticals, additional joint ventures, additional revenue. Materially positive for the bull case.
- Operating margin inflection. If S&M ratio declines and gross margin recovers as services revenue stabilizes, op margin could inflect to −20% in FY27 (vs −25% base). That would shift the path-to-profit narrative meaningfully.
- Acquisition. The single most likely Sell-invalidating event. Microsoft, Oracle, SAP, or even Palantir could acquire C3.ai in the $25-35 range. Probability low but not zero; would cap downside.
- New mega-customer. A named new customer at Shell scale (one is enough) would re-establish the AI-narrative premium and compress the bear case.
- Generative AI inflection. If C3 Generative AI platform finds a clear differentiation against hyperscaler-native offerings (e.g., industry-specific data + governance), the platform-revenue mix could re-accelerate above the FY26 guide.
- Short-squeeze dynamics. AI has elevated short interest (~25-30% of float). Any positive surprise could trigger a violent multi-week rally that exceeds the $25 bull case briefly.
Bull vs Bear Debate
| Issue | Bull view | Bear view |
|---|---|---|
| Shell relationship durability | Multi-year embedded partnership; high switching cost; renewal at expanded scope likely. | Consumption pricing makes it easier for Shell to scale down. No public commitment to expansion. Single binary risk in 12-18 months. |
| Path to profitability | Q3-Q4 FY26 will show operating leverage as S&M ratio declines and gen-AI platform monetizes. | Op margin has gotten more negative for three straight years. Reality: there is no inflection visible in the data. |
| Hyperscaler competitive threat | C3.ai has industry-specific apps and gen-AI platform that hyperscalers do not replicate cleanly. Differentiated. | Azure OpenAI Service, Bedrock, Vertex are eating the mid-market enterprise AI category bottom-up. C3.ai is being squeezed. |
| Acquisition probability | Strategic buyer is plausible (MSFT, Oracle, SAP) at $25-35. Tom Siebel is a serial founder with prior M&A track record. | Acquisition is hard to time. No public rumor. Bear case does not require M&A to avoid; bull case requires it to materialize. |
| FY27 revenue trajectory | $475-550M; consumption pricing accelerates revenue recognition; gen-AI platform delivers. | FY26 guide is $420-430M with weak Q2 RPO. FY27 could realistically be $440-475M, not $500M+. |
Technical Analysis
AI 2025 monthly closes
RSI (multi-timeframe)
42 / 38 / 32, bearish across all timeframes. Monthly RSI 32 is the most telling read: confirms persistent multi-month weakness with no recovery momentum.
Relative strength (2025 YTD)
AI −32% YTD vs IGV (software ETF) +19% vs SPY +24%. AI has materially underperformed both its sector and the broad market, the relative-strength signal is unambiguously negative.
Trader's view
- Established trading range $18-30 through most of 2025; currently mid-range ~$22.
- Key support: $18 (mid-2025 base). A close below opens the path to single-digit retest of the IPO-era low ~$12.
- Key resistance: $30 (multi-month resistance). A weekly close above unlocks $35-40 range, where the bull case has room to test the rerate.
- Short interest elevated (~25-30% of float). Any positive headline can trigger a multi-day squeeze; size positions accordingly. Squeeze risk is the main tactical concern for a short.
- R/R from $22 to $15 target with $30 stop = 0.9:1, weak. For a short thesis, this suggests waiting for either a bounce ($25-28) to add, or a confirmed breakdown ($17 close) to chase. The Sell rating remains; tactical entry deserves discipline.
- Volatility note: realized 60-day vol ~70-80% annualized, high; AI is a high-beta name with binary catalyst sensitivity (earnings, customer announcements).
Sources & Citations
Inline citations
Superscripted numbers in the body link here. Click any N in the report to jump back to the source.
- C3.ai, Inc., Form 10-K for fiscal year ended April 30, 2025 (filed June 2025) and Q1-Q2 FY2026 earnings press releases and conference calls (September / December 2025). Revenue, operating margin, RPO, and cash trajectory. Customer concentration is disclosed in the 10-K Risk Factors and customer-concentration sections. Customer-specific revenue percentages are estimates derived from public disclosures and industry analyst commentary. ↩
Background reading
- C3.ai 10-K filings (FY23, FY24, FY25), annual financials, segment disclosures, customer-concentration risk factor, Shell joint venture disclosures.
- C3.ai 10-Q filings (Q1, Q2 FY26), quarterly revenue, operating margin, RPO sequential trends, cash position.
- C3.ai earnings call transcripts (Q1 FY24 through Q2 FY26), Tom Siebel commentary on Shell partnership, generative AI platform, customer book.
- Shell plc public disclosures and joint announcements regarding C3.ai enterprise-AI partnership, corroborating the multi-year nature and operational scope.
- Palantir Q3 2025 earnings transcript, for the PLTR comparison context (revenue scale, op margin, customer mix).
- Snowflake Q3 FY26 earnings transcript, for SNOW Cortex AI competitive context.
- Microsoft Azure OpenAI Service and AWS Bedrock public materials, hyperscaler-native enterprise AI competitive frame.
- C3 Transform 2024 and 2025 keynote materials, long-range planning, customer announcements, product roadmap.
- Public Form 4 filings (Tom Siebel and other named executive officers), insider transaction monitoring.
See the Important Disclaimers in the footer for the full not-investment-advice notice.