Cboe Global Markets (CBOE) Operating Leases (2019 - 2026)
Cboe Global Markets (CBOE) posted Operating Leases of $111.5 million for Q2 2026, down 16.7% from $133.8 million a year earlier and down 2.7% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Cboe Global Markets' Operating Leases came in at $120.9 million, down 12.6% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Operating Leases was $138.4 million in FY2024 (-8.2%), $150.8 million in FY2023 (+16.6%), $129.3 million in FY2022 (+0.1%) and $129.2 million in FY2021 (-2.2%).
- The Q2 2026 figure stands as the lowest quarterly Operating Leases since Q4 2019.
- On a year-over-year basis, Operating Leases has declined in each of the last four quarters, with an average decline of 6.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q4 2023, with growth of 16.6%; the weakest was Q1 2026, with a decline of 17.0%.
- According to Business Quant data, Operating Leases for the three prior quarters was $114.6 million (Q1 2026), $120.9 million (Q4 2025) and $127.2 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 | 111.50 Mn |
| Mar 31, 2026 | 114.60 Mn |
| Dec 31, 2025 | 120.90 Mn |
| Sep 30, 2025 | 127.20 Mn |
| Jun 30, 2025 | 133.80 Mn |
| Mar 31, 2025 | 138.00 Mn |
| Dec 31, 2024 | 138.40 Mn |
| Sep 30, 2024 | 143.90 Mn |
| Jun 30, 2024 | 126.30 Mn |
| Mar 31, 2024 | 144.30 Mn |
| Dec 31, 2023 | 150.80 Mn |
| Sep 30, 2023 | 129.00 Mn |
| Jun 30, 2023 | 123.50 Mn |
| Mar 31, 2023 | 126.90 Mn |
| Dec 31, 2022 | 129.30 Mn |
| Sep 30, 2022 | 131.80 Mn |
| Jun 30, 2022 | 139.40 Mn |
| Mar 31, 2022 | 141.30 Mn |
| Dec 31, 2021 | 129.20 Mn |
| Sep 30, 2021 | 132.90 Mn |
API Access
Cboe Global Markets Operating Leases 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=operating-leases&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();