Cboe Global Markets (CBOE) Gains from Sales and Divestitures (2011 - 2023)
Cboe Global Markets (CBOE) reported Gains from Sales and Divestitures of $100,000 for Q4 2023.
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Analysis
Cboe Global Markets (CBOE) Gains from Sales and Divestitures (2011 - 2023) Analysis & Trends
For FY2023, Cboe Global Markets posted Gains from Sales and Divestitures of -$100,000.
- By year, Gains from Sales and Divestitures came in at -$300,000 in FY2022, -$400,000 in FY2021 and -$4.4 million in FY2019.
- The Q4 2023 figure ranks as the highest quarterly Gains from Sales and Divestitures in data going back to Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - |
| 10 | Tradeweb Markets | 28.70 Bn | 21.41 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 100,000.00 |
| Jun 30, 2022 | -200,000.00 |
| Mar 31, 2022 | -100,000.00 |
| Mar 31, 2019 | -400,000.00 |
| Sep 30, 2018 | -500,000.00 |
| Sep 30, 2016 | -7,000.00 |
| Jun 30, 2016 | -1,000.00 |
| Mar 31, 2016 | -1,000.00 |
| Dec 31, 2015 | 17,000.00 |
| Sep 30, 2015 | -225,000.00 |
| Jun 30, 2015 | -222,000.00 |
| Mar 31, 2015 | -170,000.00 |
| Dec 31, 2014 | -63,000.00 |
| Sep 30, 2014 | -66,000.00 |
| Jun 30, 2014 | -280,000.00 |
| Mar 31, 2014 | -253,000.00 |
| Sep 30, 2013 | -3,000.00 |
| Jun 30, 2013 | 1,000.00 |
| Mar 31, 2013 | -1,000.00 |
| Dec 31, 2012 | -1,000.00 |
API Access
Cboe Global Markets Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();