Compass (COMP) Return on Capital Employed [ROCE] (2021 - 2026)
Compass' Return on Capital Employed [ROCE] was -3.99% in Q2 2026, up 1.40 percentage points from -5.38% a year earlier and up 6.14 percentage points from the prior quarter.
Compass (COMP) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Compass came in at -6.39%, up 12.58 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for three consecutive years, with a four-year change of +36.64 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -18.97% in FY2024 (+10.90 pp), -29.87% in FY2023 (+21.41 pp), -51.28% in FY2022 (-8.25 pp) and -43.03% in FY2021.
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2021.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in seven of the last eight quarters, with an average year-over-year change of +14.34 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2025 (a gain of 29.00 percentage points); the worst was Q3 2022 (a drop of 26.41 percentage points).
- Per Business Quant data, COMP's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -10.12% (Q1 2026), -5.43% (Q4 2025) and -5.30% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 10.41% |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 11.90% |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | -3.99% |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 0.06% |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 9.24% |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 8.29% |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 1.42% |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | -6.48% |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 6.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.99% |
| Mar 31, 2026 | -10.12% |
| Dec 31, 2025 | -5.43% |
| Sep 30, 2025 | -5.30% |
| Jun 30, 2025 | -5.38% |
| Mar 31, 2025 | -8.78% |
| Dec 31, 2024 | -18.52% |
| Sep 30, 2024 | -23.22% |
| Jun 30, 2024 | -29.30% |
| Mar 31, 2024 | -37.78% |
| Dec 31, 2023 | -34.25% |
| Sep 30, 2023 | -38.22% |
| Jun 30, 2023 | -51.91% |
| Mar 31, 2023 | -57.92% |
| Dec 31, 2022 | -56.48% |
| Sep 30, 2022 | -50.37% |
| Jun 30, 2022 | -43.82% |
| Mar 31, 2022 | -34.25% |
| Dec 31, 2021 | -34.31% |
| Sep 30, 2021 | -23.97% |
Compass 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=COMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "COMP", "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=COMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();