Fidelity National Information Services (FIS) Total Debt (2009 - 2026)
Fidelity National Information Services (FIS) posted Total Debt of $20.77 billion for Q3 2026, up 59.7% from $13 billion a year earlier but down 1.9% from the prior quarter.
Fidelity National Information Services (FIS) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Fidelity National Information Services' Total Debt came in at $13.08 billion, up 15.9% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- In prior years, Fidelity National Information Services' Total Debt was $11.29 billion in FY2024 (-40.8%), $19.08 billion in FY2023 (-5.0%), $20.09 billion in FY2022 (-1.3%) and $20.35 billion in FY2021 (+1.7%).
- Quarterly Total Debt has run from a low of $10.92 billion in Q3 2024 to a high of $21.17 billion in Q2 2026 over five years.
- On a year-over-year basis, Total Debt has increased in each of the last seven quarters, with growth averaging 27.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q1 2026, with growth of 75.2%; the weakest was Q1 2024, with a decline of 44.1%.
- According to Business Quant data, Total Debt for the three prior quarters was $21.17 billion (Q2 2026), $21.06 billion (Q1 2026) and $13.08 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 125.34 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 9.68 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 39.29 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 4.97 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 7.52 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 7.67 Bn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | 3.11 Bn |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 4.09 Bn |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 20.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.77 Bn |
| Jun 30, 2026 | 21.17 Bn |
| Mar 31, 2026 | 21.06 Bn |
| Dec 31, 2025 | 13.08 Bn |
| Sep 30, 2025 | 13.00 Bn |
| Jun 30, 2025 | 12.91 Bn |
| Mar 31, 2025 | 12.02 Bn |
| Dec 31, 2024 | 11.29 Bn |
| Sep 30, 2024 | 10.92 Bn |
| Jun 30, 2024 | 11.16 Bn |
| Mar 31, 2024 | 11.19 Bn |
| Dec 31, 2023 | 19.08 Bn |
| Sep 30, 2023 | 18.66 Bn |
| Jun 30, 2023 | 19.52 Bn |
| Mar 31, 2023 | 20.01 Bn |
| Dec 31, 2022 | 20.09 Bn |
| Sep 30, 2022 | 18.92 Bn |
| Jun 30, 2022 | 18.55 Bn |
| Mar 31, 2022 | 19.22 Bn |
| Dec 31, 2021 | 20.35 Bn |
Fidelity National Information Services Total Debt 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=total-debt&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();