Fidelity National Information Services (FIS) Non Operating Interest Expenses (2009 - 2026)
Fidelity National Information Services (FIS) reported Non Operating Interest Expenses of $200 million for Q2 2026, up 81.8% from $110 million a year earlier and up 1.5% from the prior quarter.
Fidelity National Information Services (FIS) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fidelity National Information Services' Non Operating Interest Expenses came in at $599 million, up 42.3% 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%).
- The Q2 2026 figure ranks as the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- Year over year, Non Operating Interest Expenses gained in five of the last six quarters, with growth averaging 65.9%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $197 million (Q1 2026), $112 million (Q4 2025) and $90 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 469.01 Bn | 437.96 Bn | 1.64 Bn | - |
| 2 | Oracle | 370.41 Bn | 242.54 Bn | - | 1.43 Bn |
| 3 | Sap Se | 281.05 Bn | 208.83 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 205.46 Bn | 161.33 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 161.21 Bn | 139.67 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 123.95 Bn | 106.08 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 97.76 Bn | 77.11 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 74.61 Bn | 73.70 Bn | - | - |
| 9 | Thomson Reuters | 55.33 Bn | 52.12 Bn | - | -8.00 Mn |
| 10 | Fidelity National Information Services | 19.70 Bn | 17.03 Bn | 1.17 Bn | 200.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Mar 31, 2011 | 68.00 Mn |
| Dec 31, 2010 | 71.40 Mn |
| Sep 30, 2010 | 60.90 Mn |
| Jun 30, 2010 | 19.30 Mn |
| Mar 31, 2010 | 28.20 Mn |
| Dec 31, 2009 | 39.70 Mn |
| Sep 30, 2009 | 31.80 Mn |
| Jun 30, 2009 | 31.30 Mn |
| Mar 31, 2009 | 31.20 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();