Fidelity National Information Services (FIS) Operating Income (2009 - 2026)
Fidelity National Information Services (FIS) recorded Operating Income of $660 million in Q3 2026, up 44.4% from $457 million a year earlier and up 30.2% from the prior quarter.
Fidelity National Information Services (FIS) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, Fidelity National Information Services' Operating Income came in at $2.12 billion as of Sep 30, 2026, up 24.2% year-over-year; for FY2025, it came in at $1.74 billion, up 1.9% from FY2024.
- Annual Operating Income has increased for five straight years, with a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- Across earlier years, Operating Income came in at $1.71 billion in FY2024 (+18.1%), $1.45 billion in FY2023 (+23.0%), $1.18 billion in FY2022 (+13.1%) and $1.04 billion in FY2021 (+88.4%).
- The Q3 2026 figure is the highest quarterly Operating Income in data going back to Q1 2009.
- On a year-over-year basis, Operating Income has increased for four consecutive quarters, with growth averaging 18.8% over the last eight quarters.
- Peak year-over-year performance for Operating Income in the last five years was growth of 178.3% in Q3 2022, against a decline of 30.0% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $507 million (Q2 2026), $423 million (Q1 2026) and $529 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 1.08 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 6.73 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 3.37 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 2.33 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | -1.65 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 385.00 Mn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 475.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 402.00 Mn |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 660.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 660.00 Mn |
| Jun 30, 2026 | 507.00 Mn |
| Mar 31, 2026 | 423.00 Mn |
| Dec 31, 2025 | 529.00 Mn |
| Sep 30, 2025 | 457.00 Mn |
| Jun 30, 2025 | 408.00 Mn |
| Mar 31, 2025 | 347.00 Mn |
| Dec 31, 2024 | 494.00 Mn |
| Sep 30, 2024 | 490.00 Mn |
| Jun 30, 2024 | 371.00 Mn |
| Mar 31, 2024 | 354.00 Mn |
| Dec 31, 2023 | 326.00 Mn |
| Sep 30, 2023 | 470.00 Mn |
| Jun 30, 2023 | 346.00 Mn |
| Mar 31, 2023 | 306.00 Mn |
| Dec 31, 2022 | 379.00 Mn |
| Sep 30, 2022 | 384.00 Mn |
| Jun 30, 2022 | 254.00 Mn |
| Mar 31, 2022 | 202.00 Mn |
| Dec 31, 2021 | 440.00 Mn |
Fidelity National Information Services Operating Income 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-income&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();