Cboe Global Markets (CBOE) Accumulated Expenses (2016 - 2021)
Cboe Global Markets' Accumulated Expenses was $200,000 in Q4 2021, down 60.0% from $500,000 a year earlier and unchanged from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Accumulated Expenses (2016 - 2021) Analysis & Trends
From Q4 2016 onward, Cboe Global Markets has reported Accumulated Expenses for 18 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of -12.9% (FY2016 to FY2021).
- In earlier years, Accumulated Expenses was $500,000 in FY2020 (-92.5%), $6.7 million in FY2019 (+9.8%), $6.1 million in FY2018 (+27.1%) and $4.8 million in FY2017.
- Quarterly Accumulated Expenses has moved between $200,000 (Q1 2021) and $10.2 million (Q3 2019) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for eight straight quarters, with an average decline of 64.8% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2019 (growth of 218.8%); the worst was Q3 2020 (a decline of 96.1%).
- Per Business Quant data, CBOE's Accumulated Expenses in the three quarters before Q4 2021 was $200,000 (Q3 2021), $200,000 (Q2 2021) and $200,000 (Q1 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 200,000.00 |
| Sep 30, 2021 | 200,000.00 |
| Jun 30, 2021 | 200,000.00 |
| Mar 31, 2021 | 200,000.00 |
| Dec 31, 2020 | 500,000.00 |
| Sep 30, 2020 | 400,000.00 |
| Jun 30, 2020 | 600,000.00 |
| Mar 31, 2020 | 1.20 Mn |
| Dec 31, 2019 | 6.70 Mn |
| Sep 30, 2019 | 10.20 Mn |
| Jun 30, 2019 | 1.00 Mn |
| Mar 31, 2019 | 1.70 Mn |
| Dec 31, 2018 | 6.10 Mn |
| Sep 30, 2018 | 3.20 Mn |
| Jun 30, 2018 | 2.20 Mn |
| Mar 31, 2018 | 2.20 Mn |
| Dec 31, 2017 | 4.80 Mn |
| Dec 31, 2016 | 400,000.00 |
API Access
Cboe Global Markets Accumulated Expenses 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=accumulated-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();