Cboe Global Markets (CBOE) Income After Tax (2010 - 2026)
Cboe Global Markets' Income After Tax came in at $428.2 million for Q3 2026, up 42.4% from $300.8 million a year earlier and up 21.3% from the prior quarter.
Cboe Global Markets (CBOE) Income After Tax (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Cboe Global Markets reported Income After Tax of $1.48 billion, up 50.6% year-over-year; for FY2025, it was $1.1 billion, up 43.8% from FY2024.
- Income After Tax has increased in each of the last three years, with a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- Going back by year, Income After Tax 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 represents the highest quarterly Income After Tax in data going back to Q2 2010.
- Year-over-year, Income After Tax has increased for seven consecutive quarters, with growth averaging 40.4% over the last eight quarters.
- The fastest year-over-year change in Income After Tax over five years came in Q4 2021 (growth of 90.0%), and the weakest in Q1 2022 (a decline of 20.1%).
- Business Quant data shows CBOE's Income After Tax at $353.1 million (Q2 2026), $385.7 million (Q1 2026) and $313.5 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (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 | - | 476.00 Mn |
| 5 | Nasdaq | 60.69 Bn | 58.13 Bn | 1.48 Bn | 539.00 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
| 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 |
Cboe Global Markets Income After Tax 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=profit-after-tax&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();