Fair Isaac (FICO) Return on Capital Employed [ROCE] (2010 - 2026)
Fair Isaac (FICO) recorded Return on Capital Employed [ROCE] of 95.27% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 13.21 percentage points from 82.06% a year earlier and up 21.78 percentage points from the prior quarter.
Fair Isaac (FICO) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Fair Isaac reported Return on Capital Employed [ROCE] of 97.99%, up 40.06 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three straight fiscal years, with a five-year change of +71.22 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at 57.93% in FY2024 (+1.59 pp), 56.34% in FY2023 (+10.12 pp), 46.22% in FY2022 (-2.96 pp) and 49.18% in FY2021 (+22.41 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q4 2010.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for six consecutive quarters, with an average year-over-year change of +16.92 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 36.01 percentage points in fiscal Q4 2025, against a drop of 1.83 percentage points in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 73.50% (Q2 2026), 88.30% (Q1 2026) and 91.04% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 9.81% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -68.70% |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 95.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.27% |
| Mar 31, 2026 | 73.50% |
| Dec 31, 2025 | 88.30% |
| Sep 30, 2025 | 91.04% |
| Jun 30, 2025 | 82.06% |
| Mar 31, 2025 | 56.91% |
| Dec 31, 2024 | 55.17% |
| Sep 30, 2024 | 55.03% |
| Jun 30, 2024 | 51.30% |
| Mar 31, 2024 | 51.68% |
| Dec 31, 2023 | 56.79% |
| Sep 30, 2023 | 53.03% |
| Jun 30, 2023 | 53.13% |
| Mar 31, 2023 | 51.92% |
| Dec 31, 2022 | 51.78% |
| Sep 30, 2022 | 48.52% |
| Jun 30, 2022 | 48.12% |
| Mar 31, 2022 | 52.85% |
| Dec 31, 2021 | 44.09% |
| Sep 30, 2021 | 49.59% |
Fair Isaac Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();