Fair Isaac (FICO) Receivables (2009 - 2026)
Fair Isaac's Receivables came in at $876.3 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 16.5% from $752.23 million a year earlier but down 7.7% from the prior quarter.
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Analysis
Fair Isaac (FICO) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Fair Isaac's Receivables was $812.96 million, up 19.5% from FY2024.
- Receivables has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by fiscal year, Receivables was $680.08 million in FY2024 (+6.7%), $637.56 million in FY2023 (+20.3%), $529.91 million in FY2022 (+4.9%) and $504.97 million in FY2021 (-11.4%).
- The five-year range for quarterly Receivables is $446.59 million (fiscal Q1 2022) to $949.2 million (fiscal Q2 2026).
- Year-over-year, Receivables has increased for 18 consecutive quarters, with growth averaging 13.3% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q3 2023 (growth of 26.2%), and the weakest in fiscal Q1 2022 (a decline of 17.3%).
- Business Quant data shows FICO's Receivables at $949.2 million (Q2 2026), $748 million (Q1 2026) and $812.96 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.39 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 8.22 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 137.09 Mn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 876.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 876.30 Mn |
| Mar 31, 2026 | 949.20 Mn |
| Dec 31, 2025 | 748.00 Mn |
| Sep 30, 2025 | 812.96 Mn |
| Jun 30, 2025 | 752.23 Mn |
| Mar 31, 2025 | 763.09 Mn |
| Dec 31, 2024 | 602.18 Mn |
| Sep 30, 2024 | 680.08 Mn |
| Jun 30, 2024 | 689.03 Mn |
| Mar 31, 2024 | 720.42 Mn |
| Dec 31, 2023 | 599.90 Mn |
| Sep 30, 2023 | 637.56 Mn |
| Jun 30, 2023 | 633.22 Mn |
| Mar 31, 2023 | 577.54 Mn |
| Dec 31, 2022 | 529.45 Mn |
| Sep 30, 2022 | 529.91 Mn |
| Jun 30, 2022 | 501.90 Mn |
| Mar 31, 2022 | 472.92 Mn |
| Dec 31, 2021 | 446.59 Mn |
| Sep 30, 2021 | 504.97 Mn |
API Access
Fair Isaac 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=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "FICO", "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=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();