Cboe Global Markets (CBOE) Revenue (2010 - 2026)
Cboe Global Markets' Revenue came in at $1.44 billion for Q2 2026, up 22.9% from $1.17 billion a year earlier and up 13.4% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cboe Global Markets reported Revenue of $5.06 billion, up 11.7% year-over-year; for FY2025, it was $4.71 billion, up 15.1% from FY2024.
- Revenue carries a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Going back by year, Revenue was $4.09 billion in FY2024 (+8.5%), $3.77 billion in FY2023 (-4.7%), $3.96 billion in FY2022 (+13.3%) and $3.49 billion in FY2021 (+2.0%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q2 2010.
- Year-over-year, Revenue has increased for nine consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q1 2025 (growth of 24.8%), and the weakest in Q3 2023 (a decline of 8.5%).
- Business Quant data shows CBOE's Revenue at $1.27 billion (Q1 2026), $1.2 billion (Q4 2025) and $1.14 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 1.31 Bn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 5.67 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 1.71 Bn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 3.61 Bn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 2.53 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 4.05 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 1.90 Bn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 1.35 Bn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 1.44 Bn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 5.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.44 Bn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 1.20 Bn |
| Sep 30, 2025 | 1.14 Bn |
| Jun 30, 2025 | 1.17 Bn |
| Mar 31, 2025 | 1.20 Bn |
| Dec 31, 2024 | 1.11 Bn |
| Sep 30, 2024 | 1.06 Bn |
| Jun 30, 2024 | 974.00 Mn |
| Mar 31, 2024 | 957.20 Mn |
| Dec 31, 2023 | 968.70 Mn |
| Sep 30, 2023 | 908.80 Mn |
| Jun 30, 2023 | 907.80 Mn |
| Mar 31, 2023 | 988.20 Mn |
| Dec 31, 2022 | 1.00 Bn |
| Sep 30, 2022 | 993.50 Mn |
| Jun 30, 2022 | 985.80 Mn |
| Mar 31, 2022 | 974.50 Mn |
| Dec 31, 2021 | 866.40 Mn |
| Sep 30, 2021 | 816.80 Mn |
API Access
Cboe Global Markets Revenue 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=revenue&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();