Fidelity National Information Services (FIS) Exchange Rate Effect (2009 - 2026)
Fidelity National Information Services (FIS) reported Exchange Rate Effect of -$5 million for Q2 2026, compared with $24 million a year earlier.
Powered by 
Analysis
Fidelity National Information Services (FIS) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fidelity National Information Services' Exchange Rate Effect came in at -$27 million; for FY2025, it came in at $58 million.
- Exchange Rate Effect has a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By year, Exchange Rate Effect came in at -$32 million in FY2024, $105 million in FY2023, -$421 million in FY2022 and -$248 million in FY2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$390 million in Q3 2022 and a high of $361 million in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$16 million (Q1 2026), $3 million (Q4 2025) and -$9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -518,000.00 |
| 10 | Fidelity National Information Services | 17.70 Bn | 15.03 Bn | 1.17 Bn | -5.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.00 Mn |
| Mar 31, 2026 | -16.00 Mn |
| Dec 31, 2025 | 3.00 Mn |
| Sep 30, 2025 | -9.00 Mn |
| Jun 30, 2025 | 24.00 Mn |
| Mar 31, 2025 | 40.00 Mn |
| Dec 31, 2024 | -2.00 Mn |
| Sep 30, 2024 | -4.00 Mn |
| Jun 30, 2024 | -1.00 Mn |
| Mar 31, 2024 | -25.00 Mn |
| Dec 31, 2023 | 122.00 Mn |
| Sep 30, 2023 | -112.00 Mn |
| Jun 30, 2023 | 18.00 Mn |
| Mar 31, 2023 | 77.00 Mn |
| Dec 31, 2022 | 361.00 Mn |
| Sep 30, 2022 | -390.00 Mn |
| Jun 30, 2022 | -289.00 Mn |
| Mar 31, 2022 | -103.00 Mn |
| Dec 31, 2021 | -191.00 Mn |
| Sep 30, 2021 | -26.00 Mn |
API Access
Fidelity National Information Services Exchange Rate Effect 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=exchange-rate-effect&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();