Cboe Global Markets (CBOE) EBITDA (2010 - 2026)
Cboe Global Markets' EBITDA came in at $562 million for Q3 2026, up 39.9% from $401.8 million a year earlier and up 11.5% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Cboe Global Markets reported EBITDA of $2.04 billion, up 36.9% year-over-year; for FY2025, it came in at $1.59 billion, up 28.8% from FY2024.
- EBITDA has increased in each of the last three years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $1.23 billion in FY2024 (+1.2%), $1.22 billion in FY2023 (+85.0%), $658.8 million in FY2022 (-32.5%) and $975.5 million in FY2021 (+18.6%).
- The Q3 2026 figure represents the highest quarterly EBITDA in data going back to Q2 2010.
- Year-over-year, EBITDA has increased for seven consecutive quarters, with growth averaging 29.6% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2025 (growth of 52.4%), and the weakest in Q2 2024 (a decline of 15.0%).
- Business Quant data shows CBOE's EBITDA at $504.1 million (Q2 2026), $535.1 million (Q1 2026) and $435.1 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.95 Bn | 97.29 Bn | - | 1.22 Bn |
| 2 | Bank of New York Mellon | 102.82 Bn | 36.44 Bn | - | 6.85 Bn |
| 3 | Intercontinental Exchange | 98.21 Bn | 91.10 Bn | - | 1.81 Bn |
| 4 | Robinhood Markets | 74.92 Bn | 54.46 Bn | - | 860.00 Mn |
| 5 | Nasdaq | 60.69 Bn | 58.13 Bn | 1.48 Bn | 897.00 Mn |
| 6 | State Street | 46.98 Bn | 46.98 Bn | - | 3.67 Bn |
| 7 | Cboe Global Markets | 36.89 Bn | 27.37 Bn | 712.20 Mn | 562.00 Mn |
| 8 | Interactive Brokers | 35.15 Bn | 11.46 Bn | - | 2.79 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 2.40 Bn |
| 10 | Tradeweb Markets | 27.24 Bn | 19.05 Bn | - | 315.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 562.00 Mn |
| Jun 30, 2026 | 504.10 Mn |
| Mar 31, 2026 | 535.10 Mn |
| Dec 31, 2025 | 435.10 Mn |
| Sep 30, 2025 | 401.80 Mn |
| Jun 30, 2025 | 369.60 Mn |
| Mar 31, 2025 | 384.80 Mn |
| Dec 31, 2024 | 331.10 Mn |
| Sep 30, 2024 | 339.80 Mn |
| Jun 30, 2024 | 242.50 Mn |
| Mar 31, 2024 | 320.30 Mn |
| Dec 31, 2023 | 332.70 Mn |
| Sep 30, 2023 | 310.60 Mn |
| Jun 30, 2023 | 285.20 Mn |
| Mar 31, 2023 | 290.00 Mn |
| Dec 31, 2022 | 295.90 Mn |
| Sep 30, 2022 | 278.40 Mn |
| Jun 30, 2022 | -196.60 Mn |
| Mar 31, 2022 | 281.10 Mn |
| Dec 31, 2021 | 263.00 Mn |
API Access
Cboe Global Markets EBITDA 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=ebitda&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();