Cboe Global Markets (CBOE) Net Income Attributable to Noncontrolling Interests (2016 - 2019)
Cboe Global Markets (CBOE) posted Net Income Attributable to Noncontrolling Interests of -$4.1 million for FY2019, compared with -$1.3 million in FY2018.
Cboe Global Markets (CBOE) Net Income Attributable to Noncontrolling Interests (2016 - 2019) Analysis & Trends
Since FY2016, Cboe Global Markets has reported Net Income Attributable to Noncontrolling Interests for 4 years.
- Business Quant data shows CBOE's Net Income Attributable to Noncontrolling Interests at -$1.3 million in FY2018, -$1.1 million in FY2017 and -$1.1 million in FY2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | -3.00 Mn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 16.00 Mn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 8.00 Mn |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | -1.00 Mn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 1.03 Bn |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | - |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | 27.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | -100,000.00 |
| Jun 30, 2019 | -3.80 Mn |
| Mar 31, 2019 | -200,000.00 |
| Dec 31, 2018 | -400,000.00 |
| Sep 30, 2018 | -300,000.00 |
| Jun 30, 2018 | -300,000.00 |
| Mar 31, 2018 | -300,000.00 |
| Dec 31, 2017 | -300,000.00 |
| Sep 30, 2017 | -200,000.00 |
| Jun 30, 2017 | -300,000.00 |
| Mar 31, 2017 | -300,000.00 |
| Dec 31, 2016 | -300,000.00 |
| Sep 30, 2016 | -300,000.00 |
| Jun 30, 2016 | -300,000.00 |
| Mar 31, 2016 | -200,000.00 |
Cboe Global Markets 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=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "ticker": "CBOE", "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=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();