Fidelity National Information Services (FIS) Interest Expenses (2009 - 2026)
Fidelity National Information Services' Interest Expenses came in at $200 million for Q2 2026, up 81.8% from $110 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Fidelity National Information Services (FIS) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fidelity National Information Services reported Interest Expenses of $599 million, up 42.3% year-over-year; for FY2025, it came in at $391 million, up 11.4% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $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 represents the highest quarterly Interest Expenses in data going back to Q1 2009.
- Year-over-year, Interest Expenses increased in five of the last six quarters, with growth averaging 65.9%.
- Business Quant data shows FIS's Interest Expenses at $197 million (Q1 2026), $112 million (Q4 2025) and $90 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 475.57 Bn | 444.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 374.16 Bn | 246.29 Bn | - | 1.43 Bn |
| 3 | Sap Se | 281.95 Bn | 209.73 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 204.75 Bn | 160.63 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 162.05 Bn | 140.50 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 122.70 Bn | 104.83 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 98.77 Bn | 78.12 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 74.63 Bn | 73.73 Bn | - | - |
| 9 | Thomson Reuters | 55.18 Bn | 51.96 Bn | - | -8.00 Mn |
| 10 | Fidelity National Information Services | 19.65 Bn | 16.98 Bn | 1.17 Bn | 200.00 Mn |
Historic Data
Download Data
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 |
API Access
Fidelity National Information Services 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=interest-expenses&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();