Cboe Global Markets (CBOE) Other Operating Expenses (2010 - 2026)
Cboe Global Markets (CBOE) posted Other Operating Expenses of $26.2 million for Q2 2026, down 1.9% from $26.7 million a year earlier and down 5.1% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Cboe Global Markets was $109.1 million, up 2.6% year-over-year; for FY2025, it came in at $107.6 million, up 4.7% from FY2024.
- Annual Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Other Operating Expenses was $102.8 million in FY2024 (+3.1%), $99.7 million in FY2023 (+12.0%), $89 million in FY2022 (+6.3%) and $83.7 million in FY2021 (+38.1%).
- The Q2 2026 figure stands as the lowest quarterly Other Operating Expenses since Q1 2025.
- On a year-over-year basis, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 5.0%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2021, with growth of 51.9%; the weakest was Q3 2022, with a decline of 15.0%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $27.6 million (Q1 2026), $28.7 million (Q4 2025) and $26.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.20 Mn |
| Mar 31, 2026 | 27.60 Mn |
| Dec 31, 2025 | 28.70 Mn |
| Sep 30, 2025 | 26.60 Mn |
| Jun 30, 2025 | 26.70 Mn |
| Mar 31, 2025 | 25.60 Mn |
| Dec 31, 2024 | 28.50 Mn |
| Sep 30, 2024 | 25.50 Mn |
| Jun 30, 2024 | 25.80 Mn |
| Mar 31, 2024 | 24.20 Mn |
| Dec 31, 2023 | 24.20 Mn |
| Sep 30, 2023 | 25.00 Mn |
| Jun 30, 2023 | 28.30 Mn |
| Mar 31, 2023 | 23.90 Mn |
| Dec 31, 2022 | 24.80 Mn |
| Sep 30, 2022 | 20.40 Mn |
| Jun 30, 2022 | 24.10 Mn |
| Mar 31, 2022 | 19.70 Mn |
| Dec 31, 2021 | 21.70 Mn |
| Sep 30, 2021 | 24.00 Mn |
API Access
Cboe Global Markets Other Operating 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-operating-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();