Cboe Global Markets (CBOE) Profit After Tax (2010 - 2026)
Cboe Global Markets' Profit After Tax came in at $353.1 million for Q2 2026, up 50.2% from $235.1 million a year earlier but down 8.5% from the prior quarter.
Cboe Global Markets (CBOE) Profit After Tax (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cboe Global Markets reported Profit After Tax of $1.35 billion, up 50.2% year-over-year; for FY2025, it was $1.1 billion, up 43.8% from FY2024.
- Profit 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, Profit 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 five-year range for quarterly Profit After Tax is -$184.5 million (Q2 2022) to $385.7 million (Q1 2026).
- Year-over-year, Profit After Tax has increased for six consecutive quarters, with growth averaging 35.8% over the last eight quarters.
- The fastest year-over-year change in Profit 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 Profit After Tax at $385.7 million (Q1 2026), $313.5 million (Q4 2025) and $300.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 573.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 1.79 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 1.04 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 975.00 Mn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 507.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 1.08 Bn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 1.34 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 792.20 Mn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 353.10 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 379.26 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 120.40 Mn |
Cboe Global Markets Profit 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();