Cboe Global Markets (CBOE) Dividend Yield (2024 - 2026)
Cboe Global Markets' Dividend Yield was 1.11% in Q3 2026, up 0.03 percentage points from 1.07% a year earlier but down 0.09 percentage points from the prior quarter.
Cboe Global Markets (CBOE) Dividend Yield (2024 - 2026) Analysis & Trends
For FY2025, Dividend Yield at Cboe Global Markets came in at 1.08%, down 0.14 percentage points from FY2024.
- In earlier years, Dividend Yield was 1.22% in FY2024 (+0.03 pp) and 1.19% in FY2023.
- Quarterly Dividend Yield has moved between 1.00% (Q1 2026) and 1.22% (Q4 2024) over five years.
- Compared with a year earlier, Dividend Yield was higher in two of the last four quarters, with an average year-over-year change of -0.02 percentage points.
- Per Business Quant data, CBOE's Dividend Yield in the three quarters before Q3 2026 was 1.19% (Q2 2026), 1.00% (Q1 2026) and 1.08% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.11% |
| Jun 30, 2026 | 1.19% |
| Mar 31, 2026 | 1.00% |
| Dec 31, 2025 | 1.08% |
| Sep 30, 2025 | 1.07% |
| Jun 30, 2025 | 1.09% |
| Mar 31, 2025 | 1.09% |
| Dec 31, 2024 | 1.22% |
Cboe Global Markets Dividend Yield 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=dividend-yield&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();