Fair Isaac (FICO) Return on Assets [ROA] (2010 - 2026)
Fair Isaac (FICO) recorded Return on Assets [ROA] of 39.90% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.68 percentage points from 34.22% a year earlier and up 0.97 percentage points from the prior quarter.
Fair Isaac (FICO) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Fair Isaac reported Return on Assets [ROA] of 36.36%, up 5.22 percentage points from FY2024.
- Annual Return on Assets [ROA] has increased for seven straight fiscal years, with a five-year change of +20.81 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Assets [ROA] came in at 31.14% in FY2024 (+2.68 pp), 28.46% in FY2023 (+3.64 pp), 24.82% in FY2022 (+0.12 pp) and 24.71% in FY2021 (+9.15 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Assets [ROA] in data going back to fiscal Q4 2010.
- On a year-over-year basis, Return on Assets [ROA] has increased for 13 consecutive quarters, with an average year-over-year change of +4.52 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 11.26 percentage points in fiscal Q2 2022, against a drop of 3.01 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 38.93% (Q2 2026), 35.34% (Q1 2026) and 34.96% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 27.71% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 6.70% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 10.87% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 8.95% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 5.96% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 6.91% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 12.00% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -56.94% |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 39.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.90% |
| Mar 31, 2026 | 38.93% |
| Dec 31, 2025 | 35.34% |
| Sep 30, 2025 | 34.96% |
| Jun 30, 2025 | 34.22% |
| Mar 31, 2025 | 32.58% |
| Dec 31, 2024 | 31.79% |
| Sep 30, 2024 | 29.93% |
| Jun 30, 2024 | 28.05% |
| Mar 31, 2024 | 29.18% |
| Dec 31, 2023 | 28.58% |
| Sep 30, 2023 | 27.18% |
| Jun 30, 2023 | 27.12% |
| Mar 31, 2023 | 25.90% |
| Dec 31, 2022 | 26.63% |
| Sep 30, 2022 | 25.77% |
| Jun 30, 2022 | 25.04% |
| Mar 31, 2022 | 28.90% |
| Dec 31, 2021 | 25.77% |
| Sep 30, 2021 | 24.84% |
Fair Isaac Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();