Fair Isaac (FICO) Cash from Operations (2009 - 2026)
Fair Isaac (FICO) recorded Cash from Operations of $380.44 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 32.9% from $286.22 million a year earlier and up 70.3% from the prior quarter.
Fair Isaac (FICO) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Fair Isaac's Cash from Operations came in at $1 billion as of Jun 30, 2026, up 28.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $778.81 million, up 23.0% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- Across earlier fiscal years, Cash from Operations came in at $632.96 million in FY2024 (+35.0%), $468.92 million in FY2023 (-8.0%), $509.45 million in FY2022 (+20.2%) and $423.82 million in FY2021 (+16.1%).
- The fiscal Q3 2026 figure is the highest quarterly Cash from Operations in data going back to fiscal Q4 2009.
- On a year-over-year basis, Cash from Operations rose in six of the last eight quarters, with growth averaging 44.5%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 198.1% in fiscal Q2 2026, against a decline of 32.6% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $223.36 million (Q2 2026), $174.08 million (Q1 2026) and $223.67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.22 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 23.10 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.66 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.27 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 587.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 1.43 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 1.33 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -4.14 Mn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 380.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 380.44 Mn |
| Mar 31, 2026 | 223.36 Mn |
| Dec 31, 2025 | 174.08 Mn |
| Sep 30, 2025 | 223.67 Mn |
| Jun 30, 2025 | 286.22 Mn |
| Mar 31, 2025 | 74.92 Mn |
| Dec 31, 2024 | 194.00 Mn |
| Sep 30, 2024 | 226.48 Mn |
| Jun 30, 2024 | 213.33 Mn |
| Mar 31, 2024 | 71.04 Mn |
| Dec 31, 2023 | 122.12 Mn |
| Sep 30, 2023 | 164.05 Mn |
| Jun 30, 2023 | 122.62 Mn |
| Mar 31, 2023 | 89.80 Mn |
| Dec 31, 2022 | 92.44 Mn |
| Sep 30, 2022 | 144.83 Mn |
| Jun 30, 2022 | 117.14 Mn |
| Mar 31, 2022 | 122.60 Mn |
| Dec 31, 2021 | 124.88 Mn |
| Sep 30, 2021 | 91.76 Mn |
Fair Isaac Cash from Operations 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-from-operations&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();