Cboe Global Markets (CBOE) EPS (Diluted) (2010 - 2026)
Cboe Global Markets' EPS (Diluted) came in at $4.08 for Q3 2026, up 42.8% from $2.85 a year earlier and up 21.5% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Cboe Global Markets reported EPS (Diluted) of $14.09, up 51.1% year-over-year; for FY2025, it was $10.42, up 44.4% from FY2024.
- EPS (Diluted) has increased in each of the last three years, with a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- Going back by year, EPS (Diluted) was $7.21 in FY2024 (+1.1%), $7.13 in FY2023 (+225.1%), $2.19 in FY2022 (-55.4%) and $4.92 in FY2021 (+15.1%).
- The Q3 2026 figure represents the highest quarterly EPS (Diluted) in data going back to Q2 2010.
- Year-over-year, EPS (Diluted) has increased for seven consecutive quarters, with growth averaging 41.0% over the last eight quarters.
- The fastest year-over-year change in EPS (Diluted) over five years came in Q4 2021 (growth of 93.5%), and the weakest in Q1 2022 (a decline of 19.7%).
- Business Quant data shows CBOE's EPS (Diluted) at $3.35 (Q2 2026), $3.66 (Q1 2026) and $2.97 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 2.89 |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 2.34 |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.67 |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 0.51 |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 0.96 |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 3.69 |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 4.08 |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 0.69 |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 3.42 |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - | 0.94 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.08 |
| Jun 30, 2026 | 3.35 |
| Mar 31, 2026 | 3.66 |
| Dec 31, 2025 | 2.97 |
| Sep 30, 2025 | 2.85 |
| Jun 30, 2025 | 2.23 |
| Mar 31, 2025 | 2.37 |
| Dec 31, 2024 | 1.85 |
| Sep 30, 2024 | 2.07 |
| Jun 30, 2024 | 1.33 |
| Mar 31, 2024 | 1.96 |
| Dec 31, 2023 | 1.98 |
| Sep 30, 2023 | 1.95 |
| Jun 30, 2023 | 1.57 |
| Mar 31, 2023 | 1.63 |
| Dec 31, 2022 | 1.49 |
| Sep 30, 2022 | 1.41 |
| Jun 30, 2022 | -1.74 |
| Mar 31, 2022 | 1.02 |
| Dec 31, 2021 | 1.54 |
API Access
Cboe Global Markets EPS (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=eps-diluted&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();