Cboe Global Markets (CBOE) Return on Capital Employed [ROCE] (2011 - 2026)
Cboe Global Markets (CBOE) posted Return on Capital Employed [ROCE] of 24.89% for Q2 2026, up 4.82 percentage points from 20.07% a year earlier but down 3.54 percentage points from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Cboe Global Markets' Return on Capital Employed [ROCE] came in at 23.72%, up 6.13 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +9.01 percentage points (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Return on Capital Employed [ROCE] was 17.59% in FY2024 (-0.46 pp), 18.05% in FY2023 (+9.04 pp), 9.02% in FY2022 (-5.65 pp) and 14.66% in FY2021 (-0.05 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of 6.63% in Q2 2022 to a high of 28.43% in Q1 2026 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last six quarters, with an average year-over-year change of +2.71 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2023, with a gain of 10.20 percentage points; the weakest was Q1 2023, with a drop of 6.61 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 28.43% (Q1 2026), 21.50% (Q4 2025) and 19.79% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 48.09% |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 11.13% |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 9.74% |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 11.33% |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 24.89% |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.89% |
| Mar 31, 2026 | 28.43% |
| Dec 31, 2025 | 21.50% |
| Sep 30, 2025 | 19.79% |
| Jun 30, 2025 | 20.07% |
| Mar 31, 2025 | 19.08% |
| Dec 31, 2024 | 16.02% |
| Sep 30, 2024 | 16.59% |
| Jun 30, 2024 | 19.08% |
| Mar 31, 2024 | 18.79% |
| Dec 31, 2023 | 16.99% |
| Sep 30, 2023 | 18.07% |
| Jun 30, 2023 | 16.11% |
| Mar 31, 2023 | 9.67% |
| Dec 31, 2022 | 8.63% |
| Sep 30, 2022 | 7.87% |
| Jun 30, 2022 | 6.63% |
| Mar 31, 2022 | 16.28% |
| Dec 31, 2021 | 13.37% |
| Sep 30, 2021 | 13.53% |
API Access
Cboe Global Markets Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();