C3.ai (AI) Total Current Liabilities (2020 - 2026)
C3.ai (AI) recorded Total Current Liabilities of $125.12 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 12.4% from $111.29 million a year earlier and up 17.4% from the prior quarter.
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Analysis
C3.ai (AI) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), C3.ai reported Total Current Liabilities of $106.57 million, down 19.2% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -3.1% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $131.88 million in FY2025 (+28.9%), $102.34 million in FY2024 (-24.8%), $136.04 million in FY2023 (-9.4%) and $150.17 million in FY2022 (+20.6%).
- Quarterly Total Current Liabilities has ranged from $102.34 million in fiscal Q4 2024 to $150.17 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in five of the last eight quarters, with growth averaging 5.4%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 28.9% in fiscal Q4 2025, against a decline of 24.8% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $106.57 million (Q4 2026), $118.94 million (Q3 2026) and $130.83 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | C3.ai | 1.61 Bn | -909.94 Mn | 16.67 Mn | 125.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 125.12 Mn |
| Apr 30, 2026 | 106.57 Mn |
| Jan 31, 2026 | 118.94 Mn |
| Oct 31, 2025 | 130.83 Mn |
| Jul 31, 2025 | 111.29 Mn |
| Apr 30, 2025 | 131.88 Mn |
| Jan 31, 2025 | 138.05 Mn |
| Oct 31, 2024 | 122.01 Mn |
| Jul 31, 2024 | 117.93 Mn |
| Apr 30, 2024 | 102.34 Mn |
| Jan 31, 2024 | 109.18 Mn |
| Oct 31, 2023 | 114.15 Mn |
| Jul 31, 2023 | 110.71 Mn |
| Apr 30, 2023 | 136.04 Mn |
| Jan 31, 2023 | 123.61 Mn |
| Oct 31, 2022 | 118.66 Mn |
| Jul 31, 2022 | 131.25 Mn |
| Apr 30, 2022 | 150.17 Mn |
| Jan 31, 2022 | 129.19 Mn |
| Oct 31, 2021 | 132.18 Mn |
API Access
C3.ai Total Current 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-current-liabilities&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();