Fidelity National Information Services (FIS) Net Income Attributable to Noncontrolling Interests (2009 - 2026)
Fidelity National Information Services' Net Income Attributable to Noncontrolling Interests came in at $1 million for Q3 2026, unchanged from $1 million a year earlier and unchanged from the prior quarter.
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Analysis
Fidelity National Information Services (FIS) Net Income Attributable to Noncontrolling Interests (2009 - 2026) Analysis & Trends
For FY2023, Fidelity National Information Services' Net Income Attributable to Noncontrolling Interests was -$4 million.
- Going back by year, Net Income Attributable to Noncontrolling Interests was $12 million in FY2022 (+71.4%), $7 million in FY2021 (+16.7%), $6 million in FY2020 (+20.0%) and $5 million in FY2019 (-85.7%).
- The five-year range for quarterly Net Income Attributable to Noncontrolling Interests is -$2 million (Q4 2025) to $5 million (Q3 2022).
- The fastest year-over-year change in Net Income Attributable to Noncontrolling Interests over five years came in Q2 2022 (growth of 200.0%), and the weakest in Q1 2022 (a decline of 66.7%).
- Business Quant data shows FIS's Net Income Attributable to Noncontrolling Interests at $1 million (Q2 2026), $1 million (Q1 2026) and -$2 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 6.43 Mn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | - |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 23.01 Mn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | - |
| 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 | - | - |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.00 Mn |
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | -2.00 Mn |
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | -1.00 Mn |
| Jun 30, 2024 | -1.00 Mn |
| Mar 31, 2024 | -1.00 Mn |
| Dec 31, 2023 | -1.00 Mn |
| Sep 30, 2023 | -1.00 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Sep 30, 2022 | 5.00 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Sep 30, 2021 | 3.00 Mn |
API Access
Fidelity National Information Services Net Income Attributable to Noncontrolling Interests 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-from-non-controlling-interests&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "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-from-non-controlling-interests&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();