Cboe Global Markets (CBOE) Shares Outstanding (Diluted) (2010 - 2026)
Cboe Global Markets (CBOE) posted Shares Outstanding (Diluted) of 104.9 million for Q2 2026, down 0.1% from 105 million a year earlier and down 0.1% from the prior quarter.
Cboe Global Markets (CBOE) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Cboe Global Markets' Shares Outstanding (Diluted) came in at 105.1 million, down 0.4% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for seven consecutive years, with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Shares Outstanding (Diluted) was 105.5 million in FY2024 (-0.7%), 106.2 million in FY2023 (-0.5%), 106.7 million in FY2022 (-0.5%) and 107.2 million in FY2021 (-1.9%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 104.9 million in Q3 2025 to a high of 107.2 million in Q4 2021 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last 27 quarters, with an average decline of 0.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 0.1% in Q1 2024 to 1.9% in Q4 2021.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 105 million (Q1 2026), 105.1 million (Q4 2025) and 104.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 912.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 692.22 Mn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 361.28 Mn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 566.00 Mn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 567.75 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 281.06 Mn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 450.09 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 184.89 Mn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 104.90 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 80.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.90 Mn |
| Mar 31, 2026 | 105.00 Mn |
| Dec 31, 2025 | 105.10 Mn |
| Sep 30, 2025 | 104.90 Mn |
| Jun 30, 2025 | 105.00 Mn |
| Mar 31, 2025 | 105.10 Mn |
| Dec 31, 2024 | 105.50 Mn |
| Sep 30, 2024 | 105.10 Mn |
| Jun 30, 2024 | 105.40 Mn |
| Mar 31, 2024 | 106.10 Mn |
| Dec 31, 2023 | 106.20 Mn |
| Sep 30, 2023 | 106.10 Mn |
| Jun 30, 2023 | 106.10 Mn |
| Mar 31, 2023 | 106.20 Mn |
| Dec 31, 2022 | 106.70 Mn |
| Sep 30, 2022 | 106.40 Mn |
| Jun 30, 2022 | 106.30 Mn |
| Mar 31, 2022 | 106.80 Mn |
| Dec 31, 2021 | 107.20 Mn |
| Sep 30, 2021 | 107.00 Mn |
Cboe Global Markets Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();