C3.ai (AI) Depreciation and Depletion (2020 - 2026)
C3.ai (AI) recorded Depreciation and Depletion of $3.3 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 2.9% from $3.4 million a year earlier and unchanged from the prior quarter.
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Analysis
C3.ai (AI) Depreciation and Depletion (2020 - 2026) Analysis & Trends
On a TTM basis, C3.ai's Depreciation and Depletion came in at $13.2 million as of Jul 31, 2026, up 3.9% year-over-year; for FY2026 (ended Apr 30, 2026), it was $13.3 million, up 9.0% from FY2025.
- Annual Depreciation and Depletion has increased for seven straight fiscal years, with a five-year compound annual growth rate of 27.2% (FY2021 to FY2026).
- Across earlier fiscal years, Depreciation and Depletion came in at $12.2 million in FY2025 (+6.1%), $11.5 million in FY2024 (+130.0%), $5 million in FY2023 (+13.6%) and $4.4 million in FY2022 (+10.0%).
- Quarterly Depreciation and Depletion has ranged from $500,000 in fiscal Q3 2023 to $3.4 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Depreciation and Depletion rose in six of the last eight quarters, with growth averaging 6.9%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 480.0% in fiscal Q3 2024, against a decline of 54.5% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.3 million (Q4 2026), $3.3 million (Q3 2026) and $3.3 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 289.26 Bn | 274.33 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 243.64 Bn | 224.08 Bn | 1.10 Bn | - |
| 3 | Fortinet | 126.90 Bn | 112.83 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 110.61 Bn | 97.93 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 92.52 Bn | 74.16 Bn | 881.34 Mn | - |
| 6 | Zscaler | 38.77 Bn | 24.89 Bn | - | - |
| 7 | Axon Enterprise | 33.68 Bn | 28.20 Bn | 546.45 Mn | - |
| 8 | Okta | 33.65 Bn | 23.75 Bn | 641.00 Mn | - |
| 9 | MongoDB | 29.18 Bn | 19.65 Bn | 569.77 Mn | - |
| 10 | C3.ai | 1.86 Bn | -658.84 Mn | 16.67 Mn | 3.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.30 Mn |
| Apr 30, 2026 | 3.30 Mn |
| Jan 31, 2026 | 3.30 Mn |
| Oct 31, 2025 | 3.30 Mn |
| Jul 31, 2025 | 3.40 Mn |
| Apr 30, 2025 | 3.30 Mn |
| Jan 31, 2025 | 3.10 Mn |
| Oct 31, 2024 | 2.90 Mn |
| Jul 31, 2024 | 2.90 Mn |
| Apr 30, 2024 | 3.00 Mn |
| Jan 31, 2024 | 2.90 Mn |
| Oct 31, 2023 | 2.80 Mn |
| Jul 31, 2023 | 2.80 Mn |
| Apr 30, 2023 | 2.60 Mn |
| Jan 31, 2023 | 500,000.00 |
| Oct 31, 2022 | 700,000.00 |
| Jul 31, 2022 | 1.20 Mn |
| Apr 30, 2022 | 1.10 Mn |
| Jan 31, 2022 | 1.10 Mn |
| Oct 31, 2021 | 1.10 Mn |
API Access
C3.ai Depreciation and Depletion 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=depreciation-and-depletion&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();