C3.ai (AI) Receivables - Net (2020 - 2026)
C3.ai (AI) reported Receivables - Net of $94.57 million for 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.
C3.ai (AI) Receivables - Net (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), C3.ai posted Receivables - Net of $100.55 million, down 26.7% from FY2025.
- Receivables - Net has a five-year compound annual growth rate of 9.0% (FY2021 to FY2026).
- By fiscal year, Receivables - Net came in at $137.23 million in FY2025 (+5.5%), $130.06 million in FY2024 (-3.4%), $134.59 million in FY2023 (+67.7%) and $80.27 million in FY2022 (+22.6%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Receivables - Net since fiscal Q1 2023.
- Year over year, Receivables - Net has now declined in each of the last five quarters, with an average decline of 10.9% over the last eight quarters.
- The high point for year-over-year Receivables - Net in five years was fiscal Q2 2023 (growth of 248.8%); the low point was fiscal Q3 2026 (a decline of 31.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $100.55 million (Q4 2026), $123.57 million (Q3 2026) and $136.06 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | C3.ai | 1.61 Bn | -909.94 Mn | 16.67 Mn |
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 | 134.59 Mn |
| Jan 31, 2023 | 143.68 Mn |
| Oct 31, 2022 | 94.76 Mn |
| Jul 31, 2022 | 81.30 Mn |
| Apr 30, 2022 | 80.27 Mn |
| Jan 31, 2022 | 68.18 Mn |
| Oct 31, 2021 | 27.17 Mn |
C3.ai Receivables - Net 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-net&ticker=AI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();