Fidelity National Information Services (FIS) Selling, General & Administrative (2009 - 2026)
Fidelity National Information Services (FIS) reported Selling, General & Administrative of $684 million for Q2 2026, up 19.6% from $572 million a year earlier and up 13.1% from the prior quarter.
Fidelity National Information Services (FIS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fidelity National Information Services' Selling, General & Administrative came in at $2.42 billion, up 13.6% year-over-year; for FY2025, it was $2.26 billion, up 3.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $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 ranks as the highest quarterly Selling, General & Administrative since Q2 2022.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 5.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2026 (growth of 19.6%); the low point was Q3 2022 (a decline of 51.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $605 million (Q1 2026), $550 million (Q4 2025) and $584 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.83 Bn | 440.78 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 368.98 Bn | 241.11 Bn | - | 376.00 Mn |
| 3 | Sap Se | 279.60 Bn | 207.38 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 204.80 Bn | 160.68 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 161.20 Bn | 139.66 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 123.49 Bn | 105.62 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 97.85 Bn | 77.20 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 74.62 Bn | 73.72 Bn | - | - |
| 9 | Thomson Reuters | 54.97 Bn | 51.75 Bn | - | -113.00 Mn |
| 10 | Fidelity National Information Services | 19.54 Bn | 16.87 Bn | 1.17 Bn | 684.00 Mn |
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 |
Fidelity National Information Services Selling, General & Administrative 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=selling-general-and-administrative&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();