Intercontinental Exchange (ICE) Return on Capital Employed [ROCE] (2014 - 2026)
Intercontinental Exchange (ICE) posted Return on Capital Employed [ROCE] of 9.74% for Q2 2026, up 0.36 percentage points from 9.38% a year earlier but down 6.87 percentage points from the prior quarter.
Intercontinental Exchange (ICE) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, Intercontinental Exchange's Return on Capital Employed [ROCE] came in at 9.12%, up 0.18 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -4.45 percentage points (FY2020 to FY2025).
- In prior years, Intercontinental Exchange's Return on Capital Employed [ROCE] was 8.94% in FY2024 (+4.36 pp), 4.58% in FY2023 (-3.55 pp), 8.13% in FY2022 (-45.43 pp) and 53.56% in FY2021 (+39.98 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of 5.40% in Q1 2023 to a high of 18.47% in Q4 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in seven of the last eight quarters, with an average year-over-year change of +1.86 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2021, with a gain of 10.72 percentage points; the weakest was Q4 2022, with a drop of 11.69 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 16.61% (Q1 2026), 9.00% (Q4 2025) and 9.04% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 48.09% |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | 11.13% |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 9.74% |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 11.33% |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | - |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | 24.89% |
| 10 | LPL Financial Holdings | 24.58 Bn | 19.90 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.74% |
| Mar 31, 2026 | 16.61% |
| Dec 31, 2025 | 9.00% |
| Sep 30, 2025 | 9.04% |
| Jun 30, 2025 | 9.38% |
| Mar 31, 2025 | 9.22% |
| Dec 31, 2024 | 9.02% |
| Sep 30, 2024 | 8.01% |
| Jun 30, 2024 | 8.28% |
| Mar 31, 2024 | 7.05% |
| Dec 31, 2023 | 7.11% |
| Sep 30, 2023 | 7.07% |
| Jun 30, 2023 | 6.89% |
| Mar 31, 2023 | 5.40% |
| Dec 31, 2022 | 6.78% |
| Sep 30, 2022 | 7.79% |
| Jun 30, 2022 | 8.53% |
| Mar 31, 2022 | 10.91% |
| Dec 31, 2021 | 18.47% |
| Sep 30, 2021 | 11.02% |
Intercontinental Exchange 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=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ICE", "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=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();