Fidelity National Information Services (FIS) Operating Margin (2009 - 2026)
Fidelity National Information Services (FIS) recorded Operating Margin 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) Operating Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Fidelity National Information Services' Operating Margin came in at 16.38% as of Sep 30, 2026, up 0.07 percentage points year-over-year; for FY2025, it came in at 16.31%, down 0.57 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +11.91 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin 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 Operating Margin since Q4 2018.
- On a year-over-year basis, Operating Margin 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 Operating Margin 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) | Operating Margin (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% |
| Sep 30, 2021 | 3.93% |
Fidelity National Information Services Operating Margin 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=operating-margin&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();