Fidelity National Information Services (FIS) Long-Term Debt Repayments (2009 - 2026)
Fidelity National Information Services' Long-Term Debt Repayments was $26.2 billion in Q2 2026, up 122.0% from $11.8 billion a year earlier but down 6.4% from the prior quarter.
Fidelity National Information Services (FIS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fidelity National Information Services' Long-Term Debt Repayments was $84.7 billion through Jun 30, 2026, up 137.9% year-over-year; for FY2025, it came in at $54.35 billion, up 63.8% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $33.18 billion in FY2024 (-64.9%), $94.44 billion in FY2023 (+27.1%), $74.3 billion in FY2022 (+39.0%) and $53.44 billion in FY2021 (+8.9%).
- Quarterly Long-Term Debt Repayments has moved between $17 million (Q2 2024) and $28.62 billion (Q4 2023) over five years.
- Compared with a year earlier, Long-Term Debt Repayments has increased for four straight quarters, with growth averaging 74.9% over the last seven quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2025 (growth of 378.0%); the worst was Q2 2024 (a decline of 99.9%).
- Per Business Quant data, FIS's Long-Term Debt Repayments in the three quarters before Q2 2026 was $27.98 billion (Q1 2026), $17.19 billion (Q4 2025) and $13.32 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | - |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 4.20 Bn |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | - |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | 1.38 Bn |
| 10 | Fidelity National Information Services | 18.77 Bn | 16.11 Bn | 1.17 Bn | 26.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.20 Bn |
| Mar 31, 2026 | 27.98 Bn |
| Dec 31, 2025 | 17.19 Bn |
| Sep 30, 2025 | 13.32 Bn |
| Jun 30, 2025 | 11.80 Bn |
| Mar 31, 2025 | 12.03 Bn |
| Dec 31, 2024 | 8.99 Bn |
| Sep 30, 2024 | 2.79 Bn |
| Jun 30, 2024 | 17.00 Mn |
| Mar 31, 2024 | 21.38 Bn |
| Dec 31, 2023 | 28.62 Bn |
| Sep 30, 2023 | 21.33 Bn |
| Jun 30, 2023 | 23.96 Bn |
| Mar 31, 2023 | 20.54 Bn |
| Dec 31, 2022 | 24.96 Bn |
| Sep 30, 2022 | 17.99 Bn |
| Jun 30, 2022 | 14.75 Bn |
| Mar 31, 2022 | 16.61 Bn |
| Dec 31, 2021 | 12.80 Bn |
| Sep 30, 2021 | 12.95 Bn |
Fidelity National Information Services Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();