C3.ai (AI) Non-Current Assets (2020 - 2026)
C3.ai (AI) posted Non-Current Assets of $104.64 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 11.0% from $117.63 million a year earlier and down 3.4% from the prior quarter.
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Analysis
C3.ai (AI) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), C3.ai's Non-Current Assets came in at $108.31 million, down 11.0% from FY2025.
- Annual Non-Current Assets has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 35.9% (FY2021 to FY2026).
- In prior fiscal years, C3.ai's Non-Current Assets was $121.63 million in FY2025 (-9.1%), $133.83 million in FY2024 (-37.5%), $214.15 million in FY2023 (+93.9%) and $110.45 million in FY2022 (+373.2%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Non-Current Assets since fiscal Q1 2022.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 12 quarters, with an average decline of 9.9% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q3 2022, with growth of 600.4%; the weakest was fiscal Q4 2024, with a decline of 37.5%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $108.31 million (Q4 2026), $113.08 million (Q3 2026) and $115.4 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | C3.ai | 1.61 Bn | -909.94 Mn | 16.67 Mn | 104.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 104.64 Mn |
| Apr 30, 2026 | 108.31 Mn |
| Jan 31, 2026 | 113.08 Mn |
| Oct 31, 2025 | 115.40 Mn |
| Jul 31, 2025 | 117.63 Mn |
| Apr 30, 2025 | 121.63 Mn |
| Jan 31, 2025 | 124.24 Mn |
| Oct 31, 2024 | 128.47 Mn |
| Jul 31, 2024 | 131.21 Mn |
| Apr 30, 2024 | 133.83 Mn |
| Jan 31, 2024 | 137.96 Mn |
| Oct 31, 2023 | 140.03 Mn |
| Jul 31, 2023 | 194.61 Mn |
| Apr 30, 2023 | 214.15 Mn |
| Jan 31, 2023 | 148.70 Mn |
| Oct 31, 2022 | 140.54 Mn |
| Jul 31, 2022 | 130.54 Mn |
| Apr 30, 2022 | 110.45 Mn |
| Jan 31, 2022 | 124.94 Mn |
| Oct 31, 2021 | 148.74 Mn |
API Access
C3.ai Non-Current Assets 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=non-current-assets&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();