Fidelity National Information Services (FIS) Enterprise Value (2009 - 2026)
Fidelity National Information Services' Enterprise Value came in at $16.22 billion for Q3 2026, down 51.7% from $33.58 billion a year earlier and down 16.0% from the prior quarter.
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Analysis
Fidelity National Information Services (FIS) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Fidelity National Information Services reported Enterprise Value of $14.12 billion, down 53.3% year-over-year; for FY2025, it came in at $33.59 billion, down 17.7% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of -17.2% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $40.84 billion in FY2024 (+69.6%), $24.08 billion in FY2023 (-22.1%), $30.9 billion in FY2022 (-52.2%) and $64.7 billion in FY2021 (-24.8%).
- The Q3 2026 figure represents the lowest quarterly Enterprise Value since Q3 2014.
- Year-over-year, Enterprise Value has declined for five consecutive quarters, with an average decline of 12.4% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q3 2024 (growth of 78.5%), and the weakest in Q2 2026 (a decline of 54.0%).
- Business Quant data shows FIS's Enterprise Value at $19.31 billion (Q2 2026), $23.49 billion (Q1 2026) and $33.59 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.22 Bn |
| Jun 30, 2026 | 19.31 Bn |
| Mar 31, 2026 | 23.49 Bn |
| Dec 31, 2025 | 33.59 Bn |
| Sep 30, 2025 | 33.58 Bn |
| Jun 30, 2025 | 41.95 Bn |
| Mar 31, 2025 | 38.44 Bn |
| Dec 31, 2024 | 40.84 Bn |
| Sep 30, 2024 | 42.45 Bn |
| Jun 30, 2024 | 37.99 Bn |
| Mar 31, 2024 | 37.00 Bn |
| Dec 31, 2023 | 24.08 Bn |
| Sep 30, 2023 | 23.79 Bn |
| Jun 30, 2023 | 30.43 Bn |
| Mar 31, 2023 | 30.32 Bn |
| Dec 31, 2022 | 30.90 Bn |
| Sep 30, 2022 | 43.09 Bn |
| Jun 30, 2022 | 54.22 Bn |
| Mar 31, 2022 | 59.96 Bn |
| Dec 31, 2021 | 64.70 Bn |
API Access
Fidelity National Information Services Enterprise Value 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=enterprise-value&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();