Fidelity National Information Services (FIS) Return on Sales [ROS] (2009 - 2026)
Fidelity National Information Services (FIS) recorded Return on Sales [ROS] of 15.01% in Q2 2026, down 0.58 percentage points from 15.60% a year earlier but up 2.18 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 15.70% as of Jun 30, 2026, down 1.15 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).
- Quarterly Return on Sales [ROS] has ranged from 3.93% in Q3 2021 to 19.07% in Q3 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of +0.30 percentage points over the last eight quarters.
- 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 3.29 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.84% (Q1 2026), 18.81% (Q4 2025) and 16.82% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Fidelity National Information Services | 16.72 Bn | 14.06 Bn | 1.17 Bn | 15.01% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 3.93% |
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();