Cboe Global Markets (CBOE) Operating Leases (2019 - 2026)
Cboe Global Markets (CBOE) posted Operating Leases of $108 million for Q3 2026, down 15.1% from $127.2 million a year earlier and down 3.1% from the prior quarter.
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 Q3 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 five quarters, with an average decline of 10.0% 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 $111.5 million (Q2 2026), $114.6 million (Q1 2026) and $120.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 108.00 Mn |
| 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 |
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_KEY
import 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();