Cboe Global Markets (CBOE) Gross Profit (2016 - 2026)
Cboe Global Markets (CBOE) reported Gross Profit of $731.6 million for Q2 2026, up 24.6% from $587.3 million a year earlier and up 0.4% from the prior quarter.
Cboe Global Markets (CBOE) Gross Profit (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cboe Global Markets' Gross Profit came in at $2.74 billion, up 23.9% year-over-year; for FY2025, it came in at $2.43 billion, up 17.2% from FY2024.
- Gross Profit has increased for six consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- By year, Gross Profit came in at $2.07 billion in FY2024 (+8.1%), $1.92 billion in FY2023 (+10.1%), $1.74 billion in FY2022 (+18.0%) and $1.48 billion in FY2021 (+17.7%).
- The Q2 2026 figure ranks as the highest quarterly Gross Profit in data going back to Q1 2016.
- Year over year, Gross Profit has now increased in each of the last 23 quarters, with growth averaging 17.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Gross Profit ranged from 5.1% (Q4 2024) to 29.0% (Q1 2026).
- Per Business Quant data, the three quarters before Q2 2026 came in at $728.9 million (Q1 2026), $671.1 million (Q4 2025) and $605.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 731.60 Mn |
| Mar 31, 2026 | 728.90 Mn |
| Dec 31, 2025 | 671.10 Mn |
| Sep 30, 2025 | 605.50 Mn |
| Jun 30, 2025 | 587.30 Mn |
| Mar 31, 2025 | 565.20 Mn |
| Dec 31, 2024 | 524.50 Mn |
| Sep 30, 2024 | 532.00 Mn |
| Jun 30, 2024 | 513.80 Mn |
| Mar 31, 2024 | 502.10 Mn |
| Dec 31, 2023 | 499.00 Mn |
| Sep 30, 2023 | 480.50 Mn |
| Jun 30, 2023 | 467.10 Mn |
| Mar 31, 2023 | 471.40 Mn |
| Dec 31, 2022 | 457.10 Mn |
| Sep 30, 2022 | 442.40 Mn |
| Jun 30, 2022 | 424.10 Mn |
| Mar 31, 2022 | 418.10 Mn |
| Dec 31, 2021 | 390.50 Mn |
| Sep 30, 2021 | 369.50 Mn |
Cboe Global Markets Gross Profit 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=gross-profit&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();