Fidelity National Information Services (FIS) Return on Capital Employed [ROCE] (2009 - 2026)
Fidelity National Information Services (FIS) reported Return on Capital Employed [ROCE] of 6.17% for Q3 2026, down 0.46 percentage points from 6.63% a year earlier but up 0.52 percentage points from the prior quarter.
Fidelity National Information Services (FIS) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Fidelity National Information Services posted Return on Capital Employed [ROCE] of 6.69%, up 2.23 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased for five consecutive years, with a five-year change of +5.92 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 4.46% in FY2024 (+0.93 pp), 3.54% in FY2023 (+1.47 pp), 2.07% in FY2022 (+0.56 pp) and 1.51% in FY2021 (+0.74 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of 1.53% in Q4 2021 and a high of 6.79% in Q4 2025.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last three quarters, with an average year-over-year change of +0.83 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2025 (a gain of 2.75 percentage points); the low point was Q2 2026 (a drop of 1.13 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 5.65% (Q2 2026), 6.05% (Q1 2026) and 6.79% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 30.95% |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 9.81% |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 34.05% |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 10.68% |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | -53.96% |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 7.48% |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 41.35% |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 6.17% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.17% |
| Jun 30, 2026 | 5.65% |
| Mar 31, 2026 | 6.05% |
| Dec 31, 2025 | 6.79% |
| Sep 30, 2025 | 6.63% |
| Jun 30, 2025 | 6.78% |
| Mar 31, 2025 | 6.46% |
| Dec 31, 2024 | 6.11% |
| Sep 30, 2024 | 5.25% |
| Jun 30, 2024 | 5.00% |
| Mar 31, 2024 | 3.70% |
| Dec 31, 2023 | 4.04% |
| Sep 30, 2023 | 4.02% |
| Jun 30, 2023 | 3.30% |
| Mar 31, 2023 | 2.79% |
| Dec 31, 2022 | 2.23% |
| Sep 30, 2022 | 1.96% |
| Jun 30, 2022 | 1.59% |
| Mar 31, 2022 | 1.67% |
| Dec 31, 2021 | 1.53% |
Fidelity National Information Services 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=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FIS", "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=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();