Intercontinental Exchange (ICE) Net Income Attributable to Noncontrolling Interests (2013 - 2026)
Intercontinental Exchange (ICE) posted Net Income Attributable to Noncontrolling Interests of $70 million for FY2023, up 34.6% from $52 million in FY2022.
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Analysis
Intercontinental Exchange (ICE) Net Income Attributable to Noncontrolling Interests (2013 - 2026) Analysis & Trends
Since FY2011, Intercontinental Exchange has reported Net Income Attributable to Noncontrolling Interests for 13 years.
- Annual Net Income Attributable to Noncontrolling Interests shows a five-year compound annual growth rate of 16.9% (FY2018 to FY2023).
- The FY2023 figure stands as the highest annual Net Income Attributable to Noncontrolling Interests in data going back to FY2011.
- Business Quant data shows ICE's Net Income Attributable to Noncontrolling Interests at $52 million in FY2022 (+372.7%), $11 million in FY2021 (-42.1%), $19 million in FY2020 (-29.6%) and $27 million in FY2019 (-15.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.04 Bn | 96.37 Bn | - | - |
| 2 | Bank of New York Mellon | 102.90 Bn | 36.52 Bn | - | -3.00 Mn |
| 3 | Intercontinental Exchange | 97.52 Bn | 90.41 Bn | - | 16.00 Mn |
| 4 | Robinhood Markets | 75.74 Bn | 55.28 Bn | - | - |
| 5 | Nasdaq | 60.24 Bn | 57.68 Bn | 1.48 Bn | -1.00 Mn |
| 6 | State Street | 46.76 Bn | 46.76 Bn | - | - |
| 7 | Cboe Global Markets | 36.89 Bn | 27.37 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 35.42 Bn | 11.72 Bn | - | 1.03 Bn |
| 9 | Northern Trust | 32.11 Bn | 32.11 Bn | - | - |
| 10 | Tradeweb Markets | 26.82 Bn | 18.62 Bn | - | 27.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.00 Mn |
| Sep 30, 2025 | 15.00 Mn |
| Mar 31, 2014 | -13.00 Mn |
| Mar 31, 2013 | -2.00 Mn |
API Access
Intercontinental Exchange 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=ICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "ticker": "ICE", "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=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();