Cboe Global Markets (CBOE) Net Margin (2010 - 2026)
Cboe Global Markets' Net Margin was 31.40% in Q3 2026, up 5.19 percentage points from 26.22% a year earlier and up 7.02 percentage points from the prior quarter.
Cboe Global Markets (CBOE) Net Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cboe Global Markets' Net Margin was 27.94% through Sep 30, 2026, up 6.76 percentage points year-over-year; for FY2025, it was 23.22%, up 4.64 percentage points from FY2024.
- Net Margin shows a five-year change of +9.60 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was 18.59% in FY2024 (-1.49 pp), 20.07% in FY2023 (+14.16 pp), 5.91% in FY2022 (-9.17 pp) and 15.09% in FY2021 (+1.46 pp).
- The Q3 2026 figure marks the highest quarterly Net Margin since Q4 2017.
- Compared with a year earlier, Net Margin has increased for six straight quarters, with an average year-over-year change of +4.18 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q2 2023 (a gain of 37.11 percentage points); the worst was Q2 2022 (a drop of 31.85 percentage points).
- Per Business Quant data, CBOE's Net Margin in the three quarters before Q3 2026 was 24.38% (Q2 2026), 30.18% (Q1 2026) and 25.93% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.95 Bn | 97.29 Bn | - | 59.68% |
| 2 | Bank of New York Mellon | 102.82 Bn | 36.44 Bn | - | 28.31% |
| 3 | Intercontinental Exchange | 98.21 Bn | 91.10 Bn | - | 25.90% |
| 4 | Robinhood Markets | 74.92 Bn | 54.46 Bn | - | 32.87% |
| 5 | Nasdaq | 60.69 Bn | 58.13 Bn | 1.48 Bn | 22.57% |
| 6 | State Street | 46.98 Bn | 46.98 Bn | - | 25.72% |
| 7 | Cboe Global Markets | 36.89 Bn | 27.37 Bn | 712.20 Mn | 31.40% |
| 8 | Interactive Brokers | 35.15 Bn | 11.46 Bn | - | 16.41% |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 45.64% |
| 10 | Tradeweb Markets | 27.24 Bn | 19.05 Bn | - | 33.78% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.40% |
| Jun 30, 2026 | 24.38% |
| Mar 31, 2026 | 30.18% |
| Dec 31, 2025 | 25.93% |
| Sep 30, 2025 | 26.22% |
| Jun 30, 2025 | 19.93% |
| Mar 31, 2025 | 20.87% |
| Dec 31, 2024 | 17.66% |
| Sep 30, 2024 | 20.59% |
| Jun 30, 2024 | 14.34% |
| Mar 31, 2024 | 21.76% |
| Dec 31, 2023 | 21.76% |
| Sep 30, 2023 | 22.79% |
| Jun 30, 2023 | 18.40% |
| Mar 31, 2023 | 17.47% |
| Dec 31, 2022 | 15.87% |
| Sep 30, 2022 | 15.06% |
| Jun 30, 2022 | -18.72% |
| Mar 31, 2022 | 11.21% |
| Dec 31, 2021 | 19.08% |
Cboe Global Markets Net 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=net-margin&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();