Fidelity National Information Services (FIS) Return on Sales [ROS] (2009 - 2026)
Fidelity National Information Services (FIS) recorded Return on Sales [ROS] of 19.11% in Q3 2026, up 2.29 percentage points from 16.82% a year earlier and up 4.09 percentage points from the prior quarter.
Fidelity National Information Services (FIS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Fidelity National Information Services' Return on Sales [ROS] came in at 16.38% as of Sep 30, 2026, up 0.07 percentage points year-over-year; for FY2025, it was 16.31%, down 0.57 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +11.91 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 16.88% in FY2024 (+2.16 pp), 14.72% in FY2023 (+2.62 pp), 12.10% in FY2022 (+0.96 pp) and 11.14% in FY2021 (+6.74 pp).
- The Q3 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2018.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of +0.56 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 11.97 percentage points in Q3 2022, against a drop of 2.25 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 15.01% (Q2 2026), 12.84% (Q1 2026) and 18.81% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 34.78% |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 21.93% |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 19.11% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.11% |
| Jun 30, 2026 | 15.01% |
| Mar 31, 2026 | 12.84% |
| Dec 31, 2025 | 18.81% |
| Sep 30, 2025 | 16.82% |
| Jun 30, 2025 | 15.60% |
| Mar 31, 2025 | 13.70% |
| Dec 31, 2024 | 19.01% |
| Sep 30, 2024 | 19.07% |
| Jun 30, 2024 | 14.90% |
| Mar 31, 2024 | 14.34% |
| Dec 31, 2023 | 12.98% |
| Sep 30, 2023 | 18.86% |
| Jun 30, 2023 | 14.26% |
| Mar 31, 2023 | 12.75% |
| Dec 31, 2022 | 15.00% |
| Sep 30, 2022 | 15.90% |
| Jun 30, 2022 | 10.55% |
| Mar 31, 2022 | 8.52% |
| Dec 31, 2021 | 11.14% |
Fidelity National Information Services Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();