Fidelity National Information Services (FIS) Interest Paid (2009 - 2026)
Fidelity National Information Services (FIS) posted Interest Paid of $268 million for Q3 2026, up 155.2% from $105 million a year earlier and up 52.3% from the prior quarter.
Fidelity National Information Services (FIS) Interest Paid (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Interest Paid at Fidelity National Information Services was $686 million, up 88.5% year-over-year; for FY2025, it came in at $401 million, up 1.3% from FY2024.
- Annual Interest Paid shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In prior years, Fidelity National Information Services' Interest Paid was $396 million in FY2024 (-43.1%), $696 million in FY2023 (+66.9%), $417 million in FY2022 (-15.1%) and $491 million in FY2021 (+14.7%).
- The Q3 2026 figure stands as the highest quarterly Interest Paid in data going back to Q1 2009.
- On a year-over-year basis, Interest Paid has increased in each of the last five quarters, with growth averaging 52.9% over the last eight quarters.
- The strongest year-over-year quarter for Interest Paid in the past five years was Q3 2023, with growth of 167.1%; the weakest was Q3 2024, with a decline of 77.5%.
- According to Business Quant data, Interest Paid for the three prior quarters was $176 million (Q2 2026), $175 million (Q1 2026) and $67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Paid (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 | -98.94 Mn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 153.00 Mn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 130.70 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 21.00 Mn |
| 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 | 268.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 268.00 Mn |
| Jun 30, 2026 | 176.00 Mn |
| Mar 31, 2026 | 175.00 Mn |
| Dec 31, 2025 | 67.00 Mn |
| Sep 30, 2025 | 105.00 Mn |
| Jun 30, 2025 | 139.00 Mn |
| Mar 31, 2025 | 90.00 Mn |
| Dec 31, 2024 | 30.00 Mn |
| Sep 30, 2024 | 42.00 Mn |
| Jun 30, 2024 | 142.00 Mn |
| Mar 31, 2024 | 182.00 Mn |
| Dec 31, 2023 | 113.00 Mn |
| Sep 30, 2023 | 187.00 Mn |
| Jun 30, 2023 | 220.00 Mn |
| Mar 31, 2023 | 176.00 Mn |
| Dec 31, 2022 | 106.00 Mn |
| Sep 30, 2022 | 70.00 Mn |
| Jun 30, 2022 | 166.00 Mn |
| Mar 31, 2022 | 75.00 Mn |
| Dec 31, 2021 | 121.00 Mn |
Fidelity National Information Services Interest Paid 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-paid&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-paid", "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-paid&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();