Fidelity National Information Services (FIS) Operating Expenses (2009 - 2026)
Fidelity National Information Services' Operating Expenses came in at $684 million for Q2 2026, up 19.6% from $572 million a year earlier and up 13.1% from the prior quarter.
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Analysis
Fidelity National Information Services (FIS) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fidelity National Information Services reported Operating Expenses of $2.42 billion, up 13.6% year-over-year; for FY2025, it came in at $2.26 billion, up 3.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.19 billion in FY2024 (+4.2%), $2.1 billion in FY2023 (-3.9%), $2.18 billion in FY2022 (+3.2%) and $2.12 billion in FY2021 (-39.8%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q2 2022.
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 19.6%), and the weakest in Q3 2022 (a decline of 51.5%).
- Business Quant data shows FIS's Operating Expenses at $605 million (Q1 2026), $550 million (Q4 2025) and $584 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 12.62 Bn |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Fidelity National Information Services | 18.77 Bn | 16.11 Bn | 1.17 Bn | 684.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 684.00 Mn |
| Mar 31, 2026 | 605.00 Mn |
| Dec 31, 2025 | 550.00 Mn |
| Sep 30, 2025 | 584.00 Mn |
| Jun 30, 2025 | 572.00 Mn |
| Mar 31, 2025 | 558.00 Mn |
| Dec 31, 2024 | 482.00 Mn |
| Sep 30, 2024 | 521.00 Mn |
| Jun 30, 2024 | 609.00 Mn |
| Mar 31, 2024 | 573.00 Mn |
| Dec 31, 2023 | 539.00 Mn |
| Sep 30, 2023 | 484.00 Mn |
| Jun 30, 2023 | 553.00 Mn |
| Mar 31, 2023 | 517.00 Mn |
| Dec 31, 2022 | 559.00 Mn |
| Sep 30, 2022 | 480.00 Mn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | -857.00 Mn |
| Sep 30, 2021 | 989.00 Mn |
API Access
Fidelity National Information Services Operating Expenses 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-expenses&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();