Fidelity National Information Services (FIS) Dividend Coverage Ratio (2024 - 2026)
Fidelity National Information Services' Dividend Coverage Ratio came in at 1.01 for Q2 2026, compared with -2.22 a year earlier and down 90.1% from the prior quarter.
Fidelity National Information Services (FIS) Dividend Coverage Ratio (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fidelity National Information Services reported Dividend Coverage Ratio of 3.85; for FY2025, it was 0.45, down 75.1% from FY2024.
- Going back by year, Dividend Coverage Ratio was 1.81 in FY2024 and -5.41 in FY2023.
- The five-year range for quarterly Dividend Coverage Ratio is -2.22 (Q2 2025) to 10.20 (Q1 2026).
- Business Quant data shows FIS's Dividend Coverage Ratio at 10.20 (Q1 2026), 2.47 (Q4 2025) and 1.27 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.99 |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | - |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | - |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | - |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Fidelity National Information Services | 17.70 Bn | 15.03 Bn | 1.17 Bn | 1.01 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 |
| Mar 31, 2026 | 10.20 |
| Dec 31, 2025 | 2.47 |
| Sep 30, 2025 | 1.27 |
| Jun 30, 2025 | -2.22 |
| Mar 31, 2025 | 0.35 |
| Dec 31, 2024 | 1.46 |
| Sep 30, 2024 | 1.13 |
| Jun 30, 2024 | 1.19 |
| Mar 31, 2024 | 3.38 |
Fidelity National Information Services Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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=dividend-coverage-ratio&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();