Cboe Global Markets (CBOE) Other Accumulated Expenses (2016 - 2024)
Cboe Global Markets' Other Accumulated Expenses came in at $56.7 million for Q2 2024, down 7.8% from $61.5 million a year earlier and down 36.1% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Other Accumulated Expenses (2016 - 2024) Analysis & Trends
At the end of FY2023, Cboe Global Markets' Other Accumulated Expenses was $70.3 million, down 19.8% from FY2022.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -5.2% (FY2018 to FY2023).
- Going back by year, Other Accumulated Expenses was $87.7 million in FY2022 (+19.6%), $73.3 million in FY2021 (+32.1%), $55.5 million in FY2020 (+89.4%) and $29.3 million in FY2019 (-68.1%).
- The Q2 2024 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2020.
- Year-over-year, Other Accumulated Expenses increased in four of the last eight quarters, with growth averaging 2.8%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q4 2020 (growth of 89.4%), and the weakest in Q4 2019 (a decline of 68.1%).
- Business Quant data shows CBOE's Other Accumulated Expenses at $88.8 million (Q1 2024), $70.3 million (Q4 2023) and $78.7 million (Q3 2023) in the three quarters before Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 56.70 Mn |
| Mar 31, 2024 | 88.80 Mn |
| Dec 31, 2023 | 70.30 Mn |
| Sep 30, 2023 | 78.70 Mn |
| Jun 30, 2023 | 61.50 Mn |
| Mar 31, 2023 | 60.20 Mn |
| Dec 31, 2022 | 87.70 Mn |
| Sep 30, 2022 | 77.00 Mn |
| Jun 30, 2022 | 74.30 Mn |
| Mar 31, 2022 | 73.90 Mn |
| Dec 31, 2021 | 73.30 Mn |
| Sep 30, 2021 | 66.20 Mn |
| Jun 30, 2021 | 79.70 Mn |
| Mar 31, 2021 | 67.20 Mn |
| Dec 31, 2020 | 55.50 Mn |
| Sep 30, 2020 | 49.50 Mn |
| Jun 30, 2020 | 137.70 Mn |
| Mar 31, 2020 | 143.70 Mn |
| Dec 31, 2019 | 29.30 Mn |
| Sep 30, 2019 | 82.80 Mn |
API Access
Cboe Global Markets Other 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=other-accumulated-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();