Cboe Global Markets (CBOE) Receivables - Other (2009 - 2024)
Cboe Global Markets (CBOE) reported Receivables - Other of $2.3 million for Q1 2024, down 8.0% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Receivables - Other (2009 - 2024) Analysis & Trends
At the end of FY2023, Cboe Global Markets posted Receivables - Other of $2.5 million.
- The Q1 2024 figure ranks as the lowest quarterly Receivables - Other in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - |
| 10 | Tradeweb Markets | 30.09 Bn | 22.61 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 2.30 Mn |
| Dec 31, 2023 | 2.50 Mn |
| Sep 30, 2023 | 2.60 Mn |
| Dec 31, 2016 | 64.60 Mn |
| Sep 30, 2016 | 7.17 Mn |
| Jun 30, 2016 | 7.05 Mn |
| Mar 31, 2016 | 6.59 Mn |
| Dec 31, 2015 | 5.68 Mn |
| Sep 30, 2015 | 6.76 Mn |
| Jun 30, 2015 | 7.65 Mn |
| Mar 31, 2015 | 8.79 Mn |
| Dec 31, 2014 | 10.70 Mn |
| Sep 30, 2014 | 10.55 Mn |
| Jun 30, 2014 | 8.98 Mn |
| Mar 31, 2014 | 10.18 Mn |
| Dec 31, 2013 | 8.87 Mn |
| Sep 30, 2013 | 8.71 Mn |
| Jun 30, 2013 | 8.94 Mn |
| Mar 31, 2013 | 6.25 Mn |
| Dec 31, 2012 | 5.22 Mn |
API Access
Cboe Global Markets Receivables - Other 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=receivables-other&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();