Fidelity National Information Services (FIS) Non Operating Interest Expenses (2009 - 2026)
Fidelity National Information Services (FIS) reported Non Operating Interest Expenses of $199 million for Q3 2026, up 121.1% from $90 million a year earlier but down 0.5% from the prior quarter.
Fidelity National Information Services (FIS) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Fidelity National Information Services' Non Operating Interest Expenses came in at $708 million, up 58.4% year-over-year; for FY2025, it came in at $391 million, up 11.4% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $351 million in FY2024 (-50.8%), $713 million in FY2023 (+139.3%), $298 million in FY2022 (+39.3%) and $214 million in FY2021 (-36.9%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $43 million in Q2 2024 and a high of $200 million in Q2 2026.
- Year over year, Non Operating Interest Expenses has now increased in each of the last three quarters, with growth averaging 73.8% over the last seven quarters.
- Per Business Quant data, the three quarters before Q3 2026 came in at $200 million (Q2 2026), $197 million (Q1 2026) and $112 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 1.43 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | -330.17 Mn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 473.00 Mn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 148.10 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 81.00 Mn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | -2.00 Mn |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 199.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 199.00 Mn |
| Jun 30, 2026 | 200.00 Mn |
| Mar 31, 2026 | 197.00 Mn |
| Dec 31, 2025 | 112.00 Mn |
| Sep 30, 2025 | 90.00 Mn |
| Jun 30, 2025 | 110.00 Mn |
| Mar 31, 2025 | 80.00 Mn |
| Dec 31, 2024 | 167.00 Mn |
| Sep 30, 2024 | 64.00 Mn |
| Jun 30, 2024 | 43.00 Mn |
| Mar 31, 2024 | 77.00 Mn |
| Dec 31, 2019 | -389.00 Mn |
| Dec 31, 2018 | -314.00 Mn |
| Dec 31, 2017 | -359.00 Mn |
| Dec 31, 2016 | -403.00 Mn |
| Dec 31, 2015 | -199.00 Mn |
| Mar 31, 2011 | 68.00 Mn |
| Dec 31, 2010 | 71.40 Mn |
| Sep 30, 2010 | 60.90 Mn |
| Jun 30, 2010 | 19.30 Mn |
Fidelity National Information Services Non Operating Interest 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=non-operating-interest-expenses&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();