Fidelity National Information Services (FIS) Total Non-Current Liabilities (2009 - 2026)
Fidelity National Information Services (FIS) reported Total Non-Current Liabilities of $25.54 billion for Q3 2026, up 45.1% from $17.6 billion a year earlier but down 2.4% from the prior quarter.
Fidelity National Information Services (FIS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Fidelity National Information Services posted Total Non-Current Liabilities of $17.9 billion, up 7.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $16.64 billion in FY2024 (-51.7%), $34.47 billion in FY2023 (-0.7%), $34.71 billion in FY2022 (+3.1%) and $33.67 billion in FY2021 (+3.6%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $16.27 billion in Q2 2024 and a high of $34.71 billion in Q4 2022.
- Year over year, Total Non-Current Liabilities has now increased in each of the last six quarters, with growth averaging 15.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 56.0%); the low point was Q4 2024 (a decline of 51.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $26.18 billion (Q2 2026), $25.59 billion (Q1 2026) and $17.9 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 2.06 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 188.55 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 12.21 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 67.55 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 57.23 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 18.14 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 17.43 Bn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | 1.33 Mn |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | -15.42 Bn |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 25.54 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.54 Bn |
| Jun 30, 2026 | 26.18 Bn |
| Mar 31, 2026 | 25.59 Bn |
| Dec 31, 2025 | 17.90 Bn |
| Sep 30, 2025 | 17.60 Bn |
| Jun 30, 2025 | 17.52 Bn |
| Mar 31, 2025 | 16.40 Bn |
| Dec 31, 2024 | 16.64 Bn |
| Sep 30, 2024 | 16.35 Bn |
| Jun 30, 2024 | 16.27 Bn |
| Mar 31, 2024 | 16.58 Bn |
| Dec 31, 2023 | 34.47 Bn |
| Sep 30, 2023 | 32.25 Bn |
| Jun 30, 2023 | 31.44 Bn |
| Mar 31, 2023 | 32.13 Bn |
| Dec 31, 2022 | 34.71 Bn |
| Sep 30, 2022 | 31.05 Bn |
| Jun 30, 2022 | 31.24 Bn |
| Mar 31, 2022 | 32.21 Bn |
| Dec 31, 2021 | 33.67 Bn |
Fidelity National Information Services Total Non-Current Liabilities 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-non-current-liabilities&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();