C3.ai (AI) Other Non-Current Liabilities (2020 - 2026)
C3.ai (AI) recorded Other Non-Current Liabilities of $53.68 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 6.9% from $57.64 million a year earlier and down 1.3% from the prior quarter.
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Analysis
C3.ai (AI) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), C3.ai reported Other Non-Current Liabilities of $54.39 million, down 2.3% from FY2025.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of 47.3% (FY2021 to FY2026).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $55.7 million in FY2025 (-8.4%), $60.81 million in FY2024 (+62.9%), $37.32 million in FY2023 (+20.6%) and $30.95 million in FY2022 (+294.1%).
- The fiscal Q1 2027 figure is the lowest quarterly Other Non-Current Liabilities since fiscal Q2 2024.
- On a year-over-year basis, Other Non-Current Liabilities has declined for six consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 667.2% in fiscal Q3 2022, against a decline of 21.3% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $54.39 million (Q4 2026), $54.88 million (Q3 2026) and $56.31 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 | 53.68 Mn |
| Apr 30, 2026 | 54.39 Mn |
| Jan 31, 2026 | 54.88 Mn |
| Oct 31, 2025 | 56.31 Mn |
| Jul 31, 2025 | 57.64 Mn |
| Apr 30, 2025 | 55.70 Mn |
| Jan 31, 2025 | 56.92 Mn |
| Oct 31, 2024 | 65.19 Mn |
| Jul 31, 2024 | 64.06 Mn |
| Apr 30, 2024 | 60.81 Mn |
| Jan 31, 2024 | 54.63 Mn |
| Oct 31, 2023 | 45.62 Mn |
| Jul 31, 2023 | 46.23 Mn |
| Apr 30, 2023 | 37.32 Mn |
| Jan 31, 2023 | 24.18 Mn |
| Oct 31, 2022 | 28.56 Mn |
| Jul 31, 2022 | 26.92 Mn |
| Apr 30, 2022 | 30.95 Mn |
| Jan 31, 2022 | 30.72 Mn |
| Oct 31, 2021 | 5.20 Mn |
API Access
C3.ai Other Non-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=other-non-current-liabilities&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-liabilities&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();