C3.ai (AI) Receivables (2020 - 2026)
C3.ai (AI) recorded Receivables of $94.57 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 17.0% from $113.93 million a year earlier and down 5.9% from the prior quarter.
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Analysis
C3.ai (AI) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), C3.ai reported Receivables of $100.55 million, down 26.7% from FY2025.
- Annual Receivables has a five-year compound annual growth rate of 4.5% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $137.23 million in FY2025 (+5.5%), $130.06 million in FY2024 (-37.8%), $209.21 million in FY2023 (+80.2%) and $116.12 million in FY2022 (+44.0%).
- The fiscal Q1 2027 figure is the lowest quarterly Receivables since fiscal Q3 2022.
- On a year-over-year basis, Receivables has declined for five consecutive quarters, with an average decline of 10.9% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 306.6% in fiscal Q2 2023, against a decline of 37.8% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $100.55 million (Q4 2026), $123.57 million (Q3 2026) and $136.06 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | C3.ai | 1.61 Bn | -909.94 Mn | 16.67 Mn | 94.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 94.57 Mn |
| Apr 30, 2026 | 100.55 Mn |
| Jan 31, 2026 | 123.57 Mn |
| Oct 31, 2025 | 136.06 Mn |
| Jul 31, 2025 | 113.93 Mn |
| Apr 30, 2025 | 137.23 Mn |
| Jan 31, 2025 | 180.36 Mn |
| Oct 31, 2024 | 159.99 Mn |
| Jul 31, 2024 | 140.07 Mn |
| Apr 30, 2024 | 130.06 Mn |
| Jan 31, 2024 | 173.48 Mn |
| Oct 31, 2023 | 143.15 Mn |
| Jul 31, 2023 | 122.57 Mn |
| Apr 30, 2023 | 209.21 Mn |
| Jan 31, 2023 | 225.82 Mn |
| Oct 31, 2022 | 148.63 Mn |
| Jul 31, 2022 | 114.91 Mn |
| Apr 30, 2022 | 116.12 Mn |
| Jan 31, 2022 | 83.91 Mn |
| Oct 31, 2021 | 36.55 Mn |
API Access
C3.ai Receivables 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=receivables&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();