C3.ai (AI) Total Liabilities (2020 - 2026)
C3.ai (AI) posted Total Liabilities of $179.91 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 5.9% from $169.92 million a year earlier and up 10.7% from the prior quarter.
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Analysis
C3.ai (AI) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), C3.ai's Total Liabilities came in at $162.52 million, down 13.4% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- In prior fiscal years, C3.ai's Total Liabilities was $187.58 million in FY2025 (+13.8%), $164.87 million in FY2024 (-4.9%), $173.36 million in FY2023 (-4.4%) and $181.41 million in FY2022 (+34.1%).
- Quarterly Total Liabilities has run from a low of $138.36 million in fiscal Q2 2022 to a high of $194.96 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 3.2%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2022, with growth of 45.6%; the weakest was fiscal Q4 2026, with a decline of 13.4%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $162.52 million (Q4 2026), $176.3 million (Q3 2026) and $189.41 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | C3.ai | 1.61 Bn | -909.94 Mn | 16.67 Mn | 179.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 179.91 Mn |
| Apr 30, 2026 | 162.52 Mn |
| Jan 31, 2026 | 176.30 Mn |
| Oct 31, 2025 | 189.41 Mn |
| Jul 31, 2025 | 169.92 Mn |
| Apr 30, 2025 | 187.58 Mn |
| Jan 31, 2025 | 194.96 Mn |
| Oct 31, 2024 | 187.33 Mn |
| Jul 31, 2024 | 182.70 Mn |
| Apr 30, 2024 | 164.87 Mn |
| Jan 31, 2024 | 165.99 Mn |
| Oct 31, 2023 | 159.84 Mn |
| Jul 31, 2023 | 156.96 Mn |
| Apr 30, 2023 | 173.36 Mn |
| Jan 31, 2023 | 147.84 Mn |
| Oct 31, 2022 | 147.44 Mn |
| Jul 31, 2022 | 158.19 Mn |
| Apr 30, 2022 | 181.41 Mn |
| Jan 31, 2022 | 160.83 Mn |
| Oct 31, 2021 | 138.36 Mn |
API Access
C3.ai Total Liabilities 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=total-liabilities&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();