Fair Isaac (FICO) Cash & Equivalents (2009 - 2026)
Fair Isaac's Cash & Equivalents came in at $248.44 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 31.4% from $189.05 million a year earlier and up 13.2% from the prior quarter.
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Analysis
Fair Isaac (FICO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Fair Isaac's Cash & Equivalents was $134.14 million, down 11.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $150.67 million in FY2024 (+10.2%), $136.78 million in FY2023 (+2.7%), $133.2 million in FY2022 (-31.8%) and $195.35 million in FY2021 (+24.1%).
- The fiscal Q3 2026 figure represents the highest quarterly Cash & Equivalents since fiscal Q2 2011.
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 14.0%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2026 (growth of 49.6%), and the weakest in fiscal Q3 2022 (a decline of 34.7%).
- Business Quant data shows FICO's Cash & Equivalents at $219.42 million (Q2 2026), $162.03 million (Q1 2026) and $134.14 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 36.37 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 295.17 Mn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 1.71 Bn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 248.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.44 Mn |
| Mar 31, 2026 | 219.42 Mn |
| Dec 31, 2025 | 162.03 Mn |
| Sep 30, 2025 | 134.14 Mn |
| Jun 30, 2025 | 189.05 Mn |
| Mar 31, 2025 | 146.64 Mn |
| Dec 31, 2024 | 184.25 Mn |
| Sep 30, 2024 | 150.67 Mn |
| Jun 30, 2024 | 156.04 Mn |
| Mar 31, 2024 | 135.67 Mn |
| Dec 31, 2023 | 160.42 Mn |
| Sep 30, 2023 | 136.78 Mn |
| Jun 30, 2023 | 163.02 Mn |
| Mar 31, 2023 | 137.77 Mn |
| Dec 31, 2022 | 139.86 Mn |
| Sep 30, 2022 | 133.20 Mn |
| Jun 30, 2022 | 155.06 Mn |
| Mar 31, 2022 | 174.22 Mn |
| Dec 31, 2021 | 162.16 Mn |
| Sep 30, 2021 | 195.35 Mn |
API Access
Fair Isaac 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=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();