Cboe Global Markets (CBOE) Net Income (2010 - 2026)
Cboe Global Markets' Net Income was $428.2 million in Q3 2026, up 42.4% from $300.8 million a year earlier and up 21.3% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Net Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cboe Global Markets' Net Income was $1.48 billion through Sep 30, 2026, up 50.6% year-over-year; for FY2025, it came in at $1.1 billion, up 43.8% from FY2024.
- Net Income has now increased for three consecutive years, with a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- In earlier years, Net Income was $764.9 million in FY2024 (+0.5%), $761.4 million in FY2023 (+224.0%), $235 million in FY2022 (-55.6%) and $529 million in FY2021 (+13.0%).
- The Q3 2026 figure marks the highest quarterly Net Income in data going back to Q2 2010.
- Compared with a year earlier, Net Income has increased for seven straight quarters, with growth averaging 40.4% over the last eight quarters.
- The best year-over-year quarter for Net Income over five years was Q4 2021 (growth of 90.0%); the worst was Q1 2022 (a decline of 20.1%).
- Per Business Quant data, CBOE's Net Income in the three quarters before Q3 2026 was $353.1 million (Q2 2026), $385.7 million (Q1 2026) and $313.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.95 Bn | 97.29 Bn | - | 1.04 Bn |
| 2 | Bank of New York Mellon | 102.82 Bn | 36.44 Bn | - | 1.69 Bn |
| 3 | Intercontinental Exchange | 98.21 Bn | 91.10 Bn | - | 956.00 Mn |
| 4 | Robinhood Markets | 74.92 Bn | 54.46 Bn | - | 468.00 Mn |
| 5 | Nasdaq | 60.69 Bn | 58.13 Bn | 1.48 Bn | 540.00 Mn |
| 6 | State Street | 46.98 Bn | 46.98 Bn | - | 1.09 Bn |
| 7 | Cboe Global Markets | 36.89 Bn | 27.37 Bn | 712.20 Mn | 428.20 Mn |
| 8 | Interactive Brokers | 35.15 Bn | 11.46 Bn | - | 1.35 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 642.90 Mn |
| 10 | Tradeweb Markets | 27.24 Bn | 19.05 Bn | - | 224.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 428.20 Mn |
| Jun 30, 2026 | 353.10 Mn |
| Mar 31, 2026 | 385.70 Mn |
| Dec 31, 2025 | 313.50 Mn |
| Sep 30, 2025 | 300.80 Mn |
| Jun 30, 2025 | 235.10 Mn |
| Mar 31, 2025 | 250.60 Mn |
| Dec 31, 2024 | 196.50 Mn |
| Sep 30, 2024 | 218.50 Mn |
| Jun 30, 2024 | 140.40 Mn |
| Mar 31, 2024 | 209.50 Mn |
| Dec 31, 2023 | 212.00 Mn |
| Sep 30, 2023 | 208.20 Mn |
| Jun 30, 2023 | 167.80 Mn |
| Mar 31, 2023 | 173.40 Mn |
| Dec 31, 2022 | 159.70 Mn |
| Sep 30, 2022 | 150.20 Mn |
| Jun 30, 2022 | -184.50 Mn |
| Mar 31, 2022 | 109.60 Mn |
| Dec 31, 2021 | 165.90 Mn |
API Access
Cboe Global Markets Net Income 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-income&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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-income&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();