Cboe Global Markets (CBOE) EBIT (2010 - 2026)
Cboe Global Markets (CBOE) recorded EBIT of $534.3 million in Q3 2026, up 44.3% from $370.3 million a year earlier and up 12.2% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Cboe Global Markets' EBIT came in at $1.92 billion as of Sep 30, 2026, up 41.0% year-over-year; for FY2025, it came in at $1.47 billion, up 33.6% from FY2024.
- Annual EBIT has increased for three straight years, with a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $1.1 billion in FY2024 (+3.8%), $1.06 billion in FY2023 (+116.1%), $489.6 million in FY2022 (-39.2%) and $805.9 million in FY2021 (+21.7%).
- The Q3 2026 figure is the highest quarterly EBIT in data going back to Q2 2010.
- On a year-over-year basis, EBIT has increased for nine consecutive quarters, with growth averaging 33.9% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 63.6% in Q4 2021, against a decline of 14.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $476 million (Q2 2026), $505.6 million (Q1 2026) and $403.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.95 Bn | 97.29 Bn | - | 1.14 Bn |
| 2 | Bank of New York Mellon | 102.82 Bn | 36.44 Bn | - | 6.46 Bn |
| 3 | Intercontinental Exchange | 98.21 Bn | 91.10 Bn | - | 1.41 Bn |
| 4 | Robinhood Markets | 74.92 Bn | 54.46 Bn | - | 834.00 Mn |
| 5 | Nasdaq | 60.69 Bn | 58.13 Bn | 1.48 Bn | 732.00 Mn |
| 6 | State Street | 46.98 Bn | 46.98 Bn | - | 3.44 Bn |
| 7 | Cboe Global Markets | 36.89 Bn | 27.37 Bn | 712.20 Mn | 534.30 Mn |
| 8 | Interactive Brokers | 35.15 Bn | 11.46 Bn | - | 2.78 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 2.20 Bn |
| 10 | Tradeweb Markets | 27.24 Bn | 19.05 Bn | - | 253.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 534.30 Mn |
| Jun 30, 2026 | 476.00 Mn |
| Mar 31, 2026 | 505.60 Mn |
| Dec 31, 2025 | 403.80 Mn |
| Sep 30, 2025 | 370.30 Mn |
| Jun 30, 2025 | 339.10 Mn |
| Mar 31, 2025 | 353.90 Mn |
| Dec 31, 2024 | 298.50 Mn |
| Sep 30, 2024 | 307.40 Mn |
| Jun 30, 2024 | 210.10 Mn |
| Mar 31, 2024 | 282.40 Mn |
| Dec 31, 2023 | 294.00 Mn |
| Sep 30, 2023 | 271.20 Mn |
| Jun 30, 2023 | 244.80 Mn |
| Mar 31, 2023 | 247.90 Mn |
| Dec 31, 2022 | 250.50 Mn |
| Sep 30, 2022 | 236.80 Mn |
| Jun 30, 2022 | -237.40 Mn |
| Mar 31, 2022 | 239.70 Mn |
| Dec 31, 2021 | 220.60 Mn |
API Access
Cboe Global Markets EBIT 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=ebit&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();