Cboe Global Markets (CBOE) EBITDA Margin (2010 - 2026)
Cboe Global Markets (CBOE) posted EBITDA Margin of 41.36% for Q3 2026, up 6.17 percentage points from 35.19% a year earlier and up 6.42 percentage points from the prior quarter.
Cboe Global Markets (CBOE) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA Margin at Cboe Global Markets was 38.58%, up 6.37 percentage points year-over-year; for FY2025, it came in at 33.72%, up 3.59 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +9.71 percentage points (FY2020 to FY2025).
- In prior years, Cboe Global Markets' EBITDA Margin was 30.13% in FY2024 (-2.16 pp), 32.29% in FY2023 (+15.65 pp), 16.64% in FY2022 (-11.27 pp) and 27.91% in FY2021 (+3.91 pp).
- Quarterly EBITDA Margin has run from a low of -19.94% in Q2 2022 to a high of 42.04% in Q1 2026 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last six quarters, with an average year-over-year change of +3.70 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q2 2023, with a gain of 51.36 percentage points; the weakest was Q2 2022, with a drop of 48.83 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 34.94% (Q2 2026), 42.04% (Q1 2026) and 36.14% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.95 Bn | 97.29 Bn | - | 70.50% |
| 2 | Bank of New York Mellon | 102.82 Bn | 36.44 Bn | - | 120.58% |
| 3 | Intercontinental Exchange | 98.21 Bn | 91.10 Bn | - | 49.83% |
| 4 | Robinhood Markets | 74.92 Bn | 54.46 Bn | - | 60.39% |
| 5 | Nasdaq | 60.69 Bn | 58.13 Bn | 1.48 Bn | 37.48% |
| 6 | State Street | 46.98 Bn | 46.98 Bn | - | 91.71% |
| 7 | Cboe Global Markets | 36.89 Bn | 27.37 Bn | 712.20 Mn | 41.36% |
| 8 | Interactive Brokers | 35.15 Bn | 11.46 Bn | - | 145.98% |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 174.63% |
| 10 | Tradeweb Markets | 27.24 Bn | 19.05 Bn | - | 54.02% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.36% |
| Jun 30, 2026 | 34.94% |
| Mar 31, 2026 | 42.04% |
| Dec 31, 2025 | 36.14% |
| Sep 30, 2025 | 35.19% |
| Jun 30, 2025 | 31.50% |
| Mar 31, 2025 | 32.20% |
| Dec 31, 2024 | 29.89% |
| Sep 30, 2024 | 32.19% |
| Jun 30, 2024 | 24.90% |
| Mar 31, 2024 | 33.46% |
| Dec 31, 2023 | 34.34% |
| Sep 30, 2023 | 34.18% |
| Jun 30, 2023 | 31.42% |
| Mar 31, 2023 | 29.35% |
| Dec 31, 2022 | 29.45% |
| Sep 30, 2022 | 28.02% |
| Jun 30, 2022 | -19.94% |
| Mar 31, 2022 | 28.85% |
| Dec 31, 2021 | 30.36% |
Cboe Global Markets EBITDA Margin 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-margin&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();