C3.ai (AI) Cash & Equivalents (2020 - 2026)
C3.ai's Cash & Equivalents came in at $136.44 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 68.6% from $80.94 million a year earlier and up 106.1% from the prior quarter.
C3.ai (AI) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), C3.ai's Cash & Equivalents was $66.2 million, down 59.7% from FY2025.
- Cash & Equivalents has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -10.5% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $164.36 million in FY2025 (-1.7%), $167.15 million in FY2024 (-41.3%), $284.83 million in FY2023 (-16.1%) and $339.53 million in FY2022 (+194.3%).
- The fiscal Q1 2027 figure represents the highest quarterly Cash & Equivalents since fiscal Q4 2025.
- Year-over-year, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 10.7%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2022 (growth of 194.3%), and the weakest in fiscal Q3 2022 (a decline of 78.7%).
- Business Quant data shows AI's Cash & Equivalents at $66.2 million (Q4 2026), $88.85 million (Q3 2026) and $103.21 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 3.61 Bn |
| 10 | C3.ai | 1.72 Bn | -802.99 Mn | 16.67 Mn | 136.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 136.44 Mn |
| Apr 30, 2026 | 66.20 Mn |
| Jan 31, 2026 | 88.85 Mn |
| Oct 31, 2025 | 103.21 Mn |
| Jul 31, 2025 | 80.94 Mn |
| Apr 30, 2025 | 164.36 Mn |
| Jan 31, 2025 | 125.09 Mn |
| Oct 31, 2024 | 121.27 Mn |
| Jul 31, 2024 | 133.82 Mn |
| Apr 30, 2024 | 167.15 Mn |
| Jan 31, 2024 | 114.56 Mn |
| Oct 31, 2023 | 149.01 Mn |
| Jul 31, 2023 | 206.44 Mn |
| Apr 30, 2023 | 284.83 Mn |
| Jan 31, 2023 | 311.14 Mn |
| Oct 31, 2022 | 277.62 Mn |
| Jul 31, 2022 | 221.88 Mn |
| Apr 30, 2022 | 339.53 Mn |
| Jan 31, 2022 | 204.53 Mn |
| Oct 31, 2021 | 167.44 Mn |
C3.ai Cash & Equivalents 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=cash-and-equivalents&ticker=AI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();