Cboe Global Markets (CBOE) Acquisitions (2015 - 2022)
Cboe Global Markets' Acquisitions was $900,000 in Q4 2022, compared with -$15.8 million a year earlier and unchanged from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Acquisitions (2015 - 2022) Analysis & Trends
For FY2022, Acquisitions at Cboe Global Markets came in at $708.3 million, up 367.5% from FY2021.
- Acquisitions shows a five-year compound annual growth rate of -12.9% (FY2017 to FY2022).
- In earlier years, Acquisitions was $151.5 million in FY2021 (-56.9%) and $351.5 million in FY2020.
- Quarterly Acquisitions has moved between -$15.8 million (Q4 2021) and $248.2 million (Q4 2020) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | - |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | - |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 178.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | - |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | - |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | - |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 102.72 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | - |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | - |
| 10 | Xp | 16.54 Bn | -5.29 Bn | 105.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 900,000.00 |
| Sep 30, 2022 | 900,000.00 |
| Dec 31, 2021 | -15.80 Mn |
| Dec 31, 2020 | 248.20 Mn |
| Sep 30, 2020 | 36.70 Mn |
| Jun 30, 2020 | 5.00 Mn |
| Mar 31, 2020 | 61.60 Mn |
| Mar 31, 2018 | -200,000.00 |
| Dec 31, 2017 | 8.70 Mn |
| Mar 31, 2017 | 1.41 Bn |
| Jun 30, 2016 | -4.70 Mn |
| Mar 31, 2016 | 19.00 Mn |
| Dec 31, 2015 | 40,000.00 |
| Sep 30, 2015 | 2.96 Mn |
API Access
Cboe Global Markets Acquisitions 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=acquisitions&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();