Cboe Global Markets (CBOE) EBITDA (2010 - 2026)
Cboe Global Markets' EBITDA came in at $504.1 million for Q2 2026, up 36.6% from $369 million a year earlier but down 5.8% from the prior quarter.
Cboe Global Markets (CBOE) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cboe Global Markets reported EBITDA of $1.88 billion, up 31.8% year-over-year; for FY2025, it came in at $1.59 billion, up 29.1% 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 (+1.3%), $1.22 billion in FY2023 (+85.2%), $656.4 million in FY2022 (-32.6%) and $973.3 million in FY2021 (+18.6%).
- The five-year range for quarterly EBITDA is -$197.2 million (Q2 2022) to $535.1 million (Q1 2026).
- Year-over-year, EBITDA has increased for six consecutive quarters, with growth averaging 25.9% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2025 (growth of 52.5%), and the weakest in Q2 2024 (a decline of 15.0%).
- Business Quant data shows CBOE's EBITDA at $535.1 million (Q1 2026), $435.1 million (Q4 2025) and $401.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 107.55 Bn | 95.65 Bn | - | 1.19 Bn |
| 2 | Intercontinental Exchange | 89.53 Bn | 83.27 Bn | - | 1.78 Bn |
| 3 | Robinhood Markets | 87.71 Bn | 68.74 Bn | - | 891.00 Mn |
| 4 | Nasdaq | 53.45 Bn | 50.88 Bn | 1.50 Bn | 877.00 Mn |
| 5 | Interactive Brokers | 36.85 Bn | 13.96 Bn | - | 2.65 Bn |
| 6 | Cboe Global Markets | 32.87 Bn | 24.52 Bn | 731.60 Mn | 504.10 Mn |
| 7 | LPL Financial Holdings | 25.65 Bn | 20.97 Bn | - | 801.19 Mn |
| 8 | Tradeweb Markets | 25.10 Bn | 17.11 Bn | - | 306.75 Mn |
| 9 | Circle Internet | 20.74 Bn | 14.61 Bn | 288.85 Mn | 64.26 Mn |
| 10 | Xp | 16.35 Bn | -5.48 Bn | 105.39 Mn | 462.21 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 233.90 Mn |
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_KEY
import 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();