C3.ai (AI) EBITDA Margin (2020 - 2026)
C3.ai's EBITDA Margin came in at -181.13% for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 8.34 percentage points from -172.79% a year earlier but up 47.20 percentage points from the prior quarter.
C3.ai (AI) EBITDA Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, C3.ai reported EBITDA Margin of -197.26%, down 99.51 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it was -193.77%, down 113.62 percentage points from FY2025.
- EBITDA Margin carries a five-year change of -163.23 percentage points (FY2021 to FY2026).
- Going back by fiscal year, EBITDA Margin was -80.15% in FY2025 (+18.26 pp), -98.40% in FY2024 (+8.20 pp), -106.60% in FY2023 (-31.06 pp) and -75.54% in FY2022 (-45.00 pp).
- The five-year range for quarterly EBITDA Margin is -257.25% (fiscal Q3 2026) to -65.94% (fiscal Q3 2022).
- Year-over-year, EBITDA Margin has declined for five consecutive quarters, with an average year-over-year change of -54.40 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in fiscal Q2 2025 (a gain of 27.45 percentage points), and the weakest in fiscal Q3 2026 (a drop of 171.74 percentage points).
- Business Quant data shows AI's EBITDA Margin at -228.33% (Q4 2026), -257.25% (Q3 2026) and -144.67% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 11.58% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 40.40% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -8.70% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 4.19% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 8.76% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 20.62% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | - |
| 10 | C3.ai | 1.61 Bn | -909.94 Mn | 16.67 Mn | -181.13% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -181.13% |
| Apr 30, 2026 | -228.33% |
| Jan 31, 2026 | -257.25% |
| Oct 31, 2025 | -144.67% |
| Jul 31, 2025 | -172.79% |
| Apr 30, 2025 | -78.71% |
| Jan 31, 2025 | -85.50% |
| Oct 31, 2024 | -76.66% |
| Jul 31, 2024 | -79.65% |
| Apr 30, 2024 | -91.30% |
| Jan 31, 2024 | -101.14% |
| Oct 31, 2023 | -104.10% |
| Jul 31, 2023 | -98.17% |
| Apr 30, 2023 | -97.29% |
| Jan 31, 2023 | -106.79% |
| Oct 31, 2022 | -113.79% |
| Jul 31, 2022 | -109.86% |
| Apr 30, 2022 | -76.18% |
| Jan 31, 2022 | -65.94% |
| Oct 31, 2021 | -93.46% |
C3.ai EBITDA Margin 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=ebitda-margin&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();