C3.ai (AI) Capital Expenditures (2020 - 2026)
C3.ai (AI) recorded Capital Expenditures of $8,000 in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 98.9% from $760,000 a year earlier and down 97.5% from the prior quarter.
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Analysis
C3.ai (AI) Capital Expenditures (2020 - 2026) Analysis & Trends
On a TTM basis, C3.ai's Capital Expenditures came in at $1.16 million as of Jul 31, 2026, down 59.8% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $1.91 million, down 37.2% from FY2025.
- Annual Capital Expenditures has declined for three straight fiscal years, though with a five-year compound annual growth rate of 3.2% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $3.04 million in FY2025 (-88.0%), $25.26 million in FY2024 (-64.2%), $70.52 million in FY2023 and $3.79 million in FY2022 (+132.9%).
- The fiscal Q1 2027 figure is the lowest quarterly Capital Expenditures in data going back to fiscal Q4 2020.
- On a year-over-year basis, Capital Expenditures rose in 1 of the last eight quarters, with an average decline of 56.9%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 568.6% in fiscal Q4 2023, against a decline of 98.9% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $323,000 (Q4 2026), $439,000 (Q3 2026) and $386,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -1.68 Bn |
| 10 | C3.ai | 1.60 Bn | -919.24 Mn | 16.67 Mn | 8,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8,000.00 |
| Apr 30, 2026 | 323,000.00 |
| Jan 31, 2026 | 439,000.00 |
| Oct 31, 2025 | 386,000.00 |
| Jul 31, 2025 | 760,000.00 |
| Apr 30, 2025 | 938,000.00 |
| Jan 31, 2025 | 362,000.00 |
| Oct 31, 2024 | 815,000.00 |
| Jul 31, 2024 | 924,000.00 |
| Apr 30, 2024 | 2.54 Mn |
| Jan 31, 2024 | 6.09 Mn |
| Oct 31, 2023 | 5.29 Mn |
| Jul 31, 2023 | 11.34 Mn |
| Apr 30, 2023 | 10.75 Mn |
| Jan 31, 2023 | 19.79 Mn |
| Oct 31, 2022 | 24.44 Mn |
| Jul 31, 2022 | 15.54 Mn |
| Apr 30, 2022 | 1.61 Mn |
| Jan 31, 2022 | 754,000.00 |
| Oct 31, 2021 | 918,000.00 |
API Access
C3.ai Capital Expenditures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=capital-expenditures&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "AI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();