C3.ai (AI) Revenue (2020 - 2026)
C3.ai's Revenue was $52.38 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 25.5% from $70.26 million a year earlier but up 1.5% from the prior quarter.
C3.ai (AI) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, C3.ai's Revenue was $232.38 million through Jul 31, 2026, down 37.5% year-over-year; for FY2026 (ended Apr 30, 2026), it was $250.27 million, down 35.7% from FY2025.
- Revenue shows a five-year compound annual growth rate of 6.4% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $389.06 million in FY2025 (+25.3%), $310.58 million in FY2024 (+16.4%), $266.8 million in FY2023 (+5.6%) and $252.76 million in FY2022 (+38.0%).
- Quarterly Revenue has moved between $51.6 million (fiscal Q4 2026) and $108.72 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Revenue has declined for five straight quarters, with an average decline of 10.4% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q3 2022 (growth of 42.1%); the worst was fiscal Q4 2026 (a decline of 52.5%).
- Per Business Quant data, AI's Revenue in the three fiscal quarters before Q1 2027 was $51.6 million (Q4 2026), $53.26 million (Q3 2026) and $75.15 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.62 Bn |
| 10 | C3.ai | 1.61 Bn | -909.94 Mn | 16.67 Mn | 52.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 52.38 Mn |
| Apr 30, 2026 | 51.60 Mn |
| Jan 31, 2026 | 53.26 Mn |
| Oct 31, 2025 | 75.15 Mn |
| Jul 31, 2025 | 70.26 Mn |
| Apr 30, 2025 | 108.72 Mn |
| Jan 31, 2025 | 98.78 Mn |
| Oct 31, 2024 | 94.34 Mn |
| Jul 31, 2024 | 87.21 Mn |
| Apr 30, 2024 | 86.59 Mn |
| Jan 31, 2024 | 78.40 Mn |
| Oct 31, 2023 | 73.23 Mn |
| Jul 31, 2023 | 72.36 Mn |
| Apr 30, 2023 | 72.41 Mn |
| Jan 31, 2023 | 66.67 Mn |
| Oct 31, 2022 | 62.41 Mn |
| Jul 31, 2022 | 65.31 Mn |
| Apr 30, 2022 | 72.32 Mn |
| Jan 31, 2022 | 69.77 Mn |
| Oct 31, 2021 | 58.26 Mn |
C3.ai 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=revenue&ticker=AI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();