Douglas Elliman (DOUG) Return on Capital Employed [ROCE] (2022 - 2026)
Douglas Elliman's Return on Capital Employed [ROCE] was 10.58% in Q2 2026, up 19.35 percentage points from -8.76% a year earlier and up 0.71 percentage points from the prior quarter.
Douglas Elliman (DOUG) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Douglas Elliman came in at 12.28%, up 29.42 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +25.54 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -17.14% in FY2024 (-1.95 pp), -15.19% in FY2023 (-14.25 pp), -0.94% in FY2022 (-26.98 pp) and 26.04% in FY2021 (+39.30 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -21.35% (Q1 2024) and 20.49% (Q1 2022) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for six straight quarters, with an average year-over-year change of +12.02 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2025 (a gain of 29.45 percentage points); the worst was Q1 2023 (a drop of 28.62 percentage points).
- Per Business Quant data, DOUG's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 9.87% (Q1 2026), 12.50% (Q4 2025) and -9.84% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.83 Bn | 31.60 Bn | 2.09 Bn | 10.41% |
| 2 | KE Holdings | 37.44 Bn | 18.15 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.17 Bn | 12.38 Bn | - | 11.90% |
| 4 | Compass | 6.87 Bn | 5.33 Bn | - | -3.99% |
| 5 | Colliers International | 4.67 Bn | 3.75 Bn | 635.11 Mn | 0.06% |
| 6 | Cushman & Wakefield | 2.83 Bn | 308.75 Mn | 512.00 Mn | 9.24% |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 8.29% |
| 8 | Marcus & Millichap | 1.10 Bn | 193.30 Mn | - | 1.42% |
| 9 | Agnt | 594.94 Mn | 124.62 Mn | 98.80 Mn | -6.48% |
| 10 | Douglas Elliman | 138.15 Mn | -321.56 Mn | 41.42 Mn | 10.58% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.58% |
| Mar 31, 2026 | 9.87% |
| Dec 31, 2025 | 12.50% |
| Sep 30, 2025 | -9.84% |
| Jun 30, 2025 | -8.76% |
| Mar 31, 2025 | -8.32% |
| Dec 31, 2024 | -16.95% |
| Sep 30, 2024 | -19.34% |
| Jun 30, 2024 | -20.86% |
| Mar 31, 2024 | -21.35% |
| Dec 31, 2023 | -15.92% |
| Sep 30, 2023 | -14.92% |
| Jun 30, 2023 | -13.81% |
| Mar 31, 2023 | -8.14% |
| Dec 31, 2022 | -0.96% |
| Sep 30, 2022 | 7.53% |
| Jun 30, 2022 | 13.95% |
| Mar 31, 2022 | 20.49% |
Douglas Elliman 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=DOUG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DOUG", "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=DOUG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();