Cboe Global Markets (CBOE) Price to Earnings (2010 - 2026)
Cboe Global Markets' Price to Earnings came in at 19.47 for Q3 2026, down 25.8% from 26.23 a year earlier but up 3.4% from the prior quarter.
Analysis
Cboe Global Markets (CBOE) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025, Cboe Global Markets' Price to Earnings was 23.99, down 10.7% from FY2024.
- Going back by year, Price to Earnings was 26.88 in FY2024 (+8.1%), 24.88 in FY2023 (-56.2%), 56.79 in FY2022 (+115.3%) and 26.37 in FY2021 (+23.3%).
- The five-year range for quarterly Price to Earnings is 18.83 (Q2 2026) to 57.17 (Q2 2022).
- Year-over-year, Price to Earnings has declined for five consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in Q4 2022 (growth of 115.7%), and the weakest in Q2 2023 (a decline of 60.7%).
- Business Quant data shows CBOE's Price to Earnings at 18.83 (Q2 2026), 23.93 (Q1 2026) and 23.99 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - |
| 10 | Tradeweb Markets | 30.09 Bn | 22.61 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.47 |
| Jun 30, 2026 | 18.83 |
| Mar 31, 2026 | 23.93 |
| Dec 31, 2025 | 23.99 |
| Sep 30, 2025 | 26.23 |
| Jun 30, 2025 | 27.21 |
| Mar 31, 2025 | 29.55 |
| Dec 31, 2024 | 26.88 |
| Sep 30, 2024 | 27.63 |
| Jun 30, 2024 | 23.27 |
| Mar 31, 2024 | 24.40 |
| Dec 31, 2023 | 24.88 |
| Sep 30, 2023 | 23.35 |
| Jun 30, 2023 | 22.45 |
| Mar 31, 2023 | 47.70 |
| Dec 31, 2022 | 56.88 |
| Sep 30, 2022 | 51.97 |
| Jun 30, 2022 | 57.17 |
| Mar 31, 2022 | 24.31 |
| Dec 31, 2021 | 26.37 |
API Access
Cboe Global Markets Price to Earnings 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=price-to-earnings&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();