Fidelity National Information Services (FIS) Income Taxes Paid (2009 - 2026)
Fidelity National Information Services (FIS) recorded Income Taxes Paid of $132 million in Q3 2026, up 388.9% from $27 million a year earlier but down 65.2% from the prior quarter.
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Analysis
Fidelity National Information Services (FIS) Income Taxes Paid (2009 - 2026) Analysis & Trends
On a TTM basis, Fidelity National Information Services' Income Taxes Paid came in at $761 million as of Sep 30, 2026, up 46.3% year-over-year; for FY2025, it was $628 million, up 28.7% from FY2024.
- Annual Income Taxes Paid has a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Across earlier years, Income Taxes Paid came in at $488 million in FY2024 (+21.4%), $402 million in FY2023 (-58.3%), $963 million in FY2022 (+118.9%) and $440 million in FY2021 (+56.0%).
- Quarterly Income Taxes Paid has ranged from $27 million in Q3 2025 to $379 million in Q2 2026 over the past five years.
- On a year-over-year basis, Income Taxes Paid rose in five of the last eight quarters, with growth averaging 60.3%.
- Peak year-over-year performance for Income Taxes Paid in the last five years was growth of 388.9% in Q3 2026, against a decline of 82.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $379 million (Q2 2026), $60 million (Q1 2026) and $190 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes 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 | -790.34 Mn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 222.00 Mn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 187.20 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 68.00 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 | - | -51.00 Mn |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 132.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 132.00 Mn |
| Jun 30, 2026 | 379.00 Mn |
| Mar 31, 2026 | 60.00 Mn |
| Dec 31, 2025 | 190.00 Mn |
| Sep 30, 2025 | 27.00 Mn |
| Jun 30, 2025 | 330.00 Mn |
| Mar 31, 2025 | 81.00 Mn |
| Dec 31, 2024 | 82.00 Mn |
| Sep 30, 2024 | 71.00 Mn |
| Jun 30, 2024 | 234.00 Mn |
| Mar 31, 2024 | 101.00 Mn |
| Dec 31, 2023 | 72.00 Mn |
| Sep 30, 2023 | 61.00 Mn |
| Jun 30, 2023 | 212.00 Mn |
| Mar 31, 2023 | 57.00 Mn |
| Dec 31, 2022 | 299.00 Mn |
| Sep 30, 2022 | 341.00 Mn |
| Jun 30, 2022 | 277.00 Mn |
| Mar 31, 2022 | 46.00 Mn |
| Dec 31, 2021 | 168.00 Mn |
API Access
Fidelity National Information Services Income Taxes 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=income-taxes-paid&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-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=income-taxes-paid&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();