Cboe Global Markets (CBOE) Rent Expense (2010 - 2026)
Cboe Global Markets' Rent Expense came in at $6.1 million for Q2 2026, down 12.9% from $7 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Rent Expense (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cboe Global Markets reported Rent Expense of $25.3 million, up 0.4% year-over-year; for FY2025, it came in at $26.2 million, up 6.5% from FY2024.
- Rent Expense carries a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Going back by year, Rent Expense was $24.6 million in FY2024 (-4.3%), $25.7 million in FY2023 (+2.4%), $25.1 million in FY2022 (+13.1%) and $22.2 million in FY2021 (+26.1%).
- The five-year range for quarterly Rent Expense is $5.7 million (Q4 2021) to $7.6 million (Q1 2023).
- Year-over-year, Rent Expense increased in four of the last eight quarters, with growth averaging 2.0%.
- The fastest year-over-year change in Rent Expense over five years came in Q3 2021 (growth of 28.9%), and the weakest in Q1 2024 (a decline of 14.5%).
- Business Quant data shows CBOE's Rent Expense at $6.2 million (Q1 2026), $6.6 million (Q4 2025) and $6.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 143.00 Mn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 23.00 Mn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 35.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 96.00 Mn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 53.50 Mn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 6.10 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 125.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.10 Mn |
| Mar 31, 2026 | 6.20 Mn |
| Dec 31, 2025 | 6.60 Mn |
| Sep 30, 2025 | 6.40 Mn |
| Jun 30, 2025 | 7.00 Mn |
| Mar 31, 2025 | 6.20 Mn |
| Dec 31, 2024 | 6.10 Mn |
| Sep 30, 2024 | 5.90 Mn |
| Jun 30, 2024 | 6.10 Mn |
| Mar 31, 2024 | 6.50 Mn |
| Dec 31, 2023 | 5.70 Mn |
| Sep 30, 2023 | 6.20 Mn |
| Jun 30, 2023 | 6.20 Mn |
| Mar 31, 2023 | 7.60 Mn |
| Dec 31, 2022 | 5.80 Mn |
| Sep 30, 2022 | 6.20 Mn |
| Jun 30, 2022 | 6.60 Mn |
| Mar 31, 2022 | 6.50 Mn |
| Dec 31, 2021 | 5.70 Mn |
| Sep 30, 2021 | 5.80 Mn |
API Access
Cboe Global Markets Rent Expense 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=rent-expense&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();