Cboe Global Markets (CBOE) Enterprise Value (2010 - 2026)
Cboe Global Markets' Enterprise Value came in at $22.98 billion for Q2 2026, up 0.2% from $22.93 billion a year earlier but down 15.7% from the prior quarter.
Cboe Global Markets (CBOE) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cboe Global Markets reported Enterprise Value of $17.03 billion, down 14.8% year-over-year; for FY2025, it came in at $24.01 billion, up 23.6% from FY2024.
- Enterprise Value has increased in each of the last three years, with a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $19.43 billion in FY2024 (+6.5%), $18.24 billion in FY2023 (+42.9%), $12.77 billion in FY2022 (-5.6%) and $13.53 billion in FY2021 (+40.1%).
- The five-year range for quarterly Enterprise Value is $11.44 billion (Q1 2022) to $27.25 billion (Q1 2026).
- Year-over-year, Enterprise Value has increased for 14 consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2023 (growth of 42.9%), and the weakest in Q4 2022 (a decline of 5.6%).
- Business Quant data shows CBOE's Enterprise Value at $27.25 billion (Q1 2026), $24.01 billion (Q4 2025) and $24.13 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.98 Bn |
| Mar 31, 2026 | 27.25 Bn |
| Dec 31, 2025 | 24.01 Bn |
| Sep 30, 2025 | 24.13 Bn |
| Jun 30, 2025 | 22.93 Bn |
| Mar 31, 2025 | 22.55 Bn |
| Dec 31, 2024 | 19.43 Bn |
| Sep 30, 2024 | 20.68 Bn |
| Jun 30, 2024 | 17.12 Bn |
| Mar 31, 2024 | 18.76 Bn |
| Dec 31, 2023 | 18.24 Bn |
| Sep 30, 2023 | 16.05 Bn |
| Jun 30, 2023 | 14.05 Bn |
| Mar 31, 2023 | 13.66 Bn |
| Dec 31, 2022 | 12.77 Bn |
| Sep 30, 2022 | 12.07 Bn |
| Jun 30, 2022 | 11.56 Bn |
| Mar 31, 2022 | 11.44 Bn |
| Dec 31, 2021 | 13.53 Bn |
| Sep 30, 2021 | 12.78 Bn |
Cboe Global Markets Enterprise Value 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=enterprise-value&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();