C3.ai (AI) Cost of Revenue (2020 - 2026)
C3.ai's Cost of Revenue came in at $35.71 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 18.5% from $43.82 million a year earlier and down 11.3% from the prior quarter.
C3.ai (AI) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, C3.ai reported Cost of Revenue of $164.78 million, up 1.7% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $172.89 million, up 12.9% from FY2025.
- Cost of Revenue has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 31.2% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $153.19 million in FY2025 (+16.0%), $132.02 million in FY2024 (+52.9%), $86.34 million in FY2023 (+35.5%) and $63.71 million in FY2022 (+43.1%).
- The fiscal Q1 2027 figure represents the lowest quarterly Cost of Revenue since fiscal Q1 2025.
- Year-over-year, Cost of Revenue increased in six of the last eight quarters, with growth averaging 11.2%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q1 2024 (growth of 72.8%), and the weakest in fiscal Q1 2027 (a decline of 18.5%).
- Business Quant data shows AI's Cost of Revenue at $40.28 million (Q4 2026), $44.03 million (Q3 2026) and $44.77 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | C3.ai | 1.71 Bn | -815.39 Mn | 16.67 Mn | 35.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 35.71 Mn |
| Apr 30, 2026 | 40.28 Mn |
| Jan 31, 2026 | 44.03 Mn |
| Oct 31, 2025 | 44.77 Mn |
| Jul 31, 2025 | 43.82 Mn |
| Apr 30, 2025 | 41.21 Mn |
| Jan 31, 2025 | 40.44 Mn |
| Oct 31, 2024 | 36.50 Mn |
| Jul 31, 2024 | 35.05 Mn |
| Apr 30, 2024 | 34.98 Mn |
| Jan 31, 2024 | 33.11 Mn |
| Oct 31, 2023 | 32.12 Mn |
| Jul 31, 2023 | 31.81 Mn |
| Apr 30, 2023 | 24.91 Mn |
| Jan 31, 2023 | 22.27 Mn |
| Oct 31, 2022 | 20.75 Mn |
| Jul 31, 2022 | 18.41 Mn |
| Apr 30, 2022 | 17.36 Mn |
| Jan 31, 2022 | 17.35 Mn |
| Oct 31, 2021 | 15.97 Mn |
C3.ai Cost of Revenue 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=cost-of-revenue&ticker=AI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();