C3.ai (AI) Other Operating Expenses (2020 - 2026)
C3.ai (AI) reported Other Operating Expenses of $41.61 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 33.4% from $62.51 million a year earlier and down 30.8% from the prior quarter.
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Analysis
C3.ai (AI) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, C3.ai's Other Operating Expenses came in at $227.3 million, down 9.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $237.37 million, down 1.0% from FY2025.
- Other Operating Expenses has a five-year compound annual growth rate of 19.6% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $239.66 million in FY2025 (+11.9%), $214.17 million in FY2024 (+17.0%), $183.12 million in FY2023 (+5.5%) and $173.58 million in FY2022 (+79.0%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Other Operating Expenses since fiscal Q1 2022.
- Year over year, Other Operating Expenses gained in six of the last eight quarters, with growth averaging 2.1%.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q2 2022 (growth of 109.0%); the low point was fiscal Q1 2027 (a decline of 33.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $60.17 million (Q4 2026), $67.18 million (Q3 2026) and $58.34 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | C3.ai | 1.70 Bn | -818.49 Mn | 16.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 41.61 Mn |
| Apr 30, 2026 | 60.17 Mn |
| Jan 31, 2026 | 67.18 Mn |
| Oct 31, 2025 | 58.34 Mn |
| Jul 31, 2025 | 62.51 Mn |
| Apr 30, 2025 | 70.69 Mn |
| Jan 31, 2025 | 61.20 Mn |
| Oct 31, 2024 | 55.64 Mn |
| Jul 31, 2024 | 52.13 Mn |
| Apr 30, 2024 | 63.25 Mn |
| Jan 31, 2024 | 57.14 Mn |
| Oct 31, 2023 | 49.90 Mn |
| Jul 31, 2023 | 43.89 Mn |
| Apr 30, 2023 | 51.70 Mn |
| Jan 31, 2023 | 43.50 Mn |
| Oct 31, 2022 | 44.94 Mn |
| Jul 31, 2022 | 42.99 Mn |
| Apr 30, 2022 | 47.45 Mn |
| Jan 31, 2022 | 43.15 Mn |
| Oct 31, 2021 | 46.17 Mn |
API Access
C3.ai Other Operating Expenses 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=other-operating-expenses&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();