Fidelity National Information Services (FIS) Selling, General & Administrative (2009 - 2026)
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Analysis
Fidelity National Information Services (FIS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 228.85 Mn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 376.00 Mn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 473.98 Mn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 725.00 Mn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 1.06 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 283.00 Mn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | - |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 627.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 627.00 Mn |
| 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 |
API Access
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_KEYimport 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();