Newmark (NMRK) Return on Capital Employed [ROCE] (2018 - 2026)
Newmark (NMRK) recorded Return on Capital Employed [ROCE] of 8.29% in Q2 2026, up 2.35 percentage points from 5.94% a year earlier but down 0.81 percentage points from the prior quarter.
Newmark (NMRK) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Newmark reported Return on Capital Employed [ROCE] of 7.91%, up 2.11 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -1.84 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 5.80% in FY2024 (+1.19 pp), 4.61% in FY2023 (-1.57 pp), 6.18% in FY2022 (-45.95 pp) and 52.13% in FY2021 (+42.38 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from 2.31% in Q3 2023 to 40.71% in Q4 2021 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for nine consecutive quarters, with an average year-over-year change of +2.08 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 33.70 percentage points in Q4 2021, against a drop of 33.99 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.10% (Q1 2026), 6.98% (Q4 2025) and 6.96% (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 | 8.29% |
| Mar 31, 2026 | 9.10% |
| Dec 31, 2025 | 6.98% |
| Sep 30, 2025 | 6.96% |
| Jun 30, 2025 | 5.94% |
| Mar 31, 2025 | 5.58% |
| Dec 31, 2024 | 5.30% |
| Sep 30, 2024 | 4.75% |
| Jun 30, 2024 | 4.41% |
| Mar 31, 2024 | 3.72% |
| Dec 31, 2023 | 4.23% |
| Sep 30, 2023 | 2.31% |
| Jun 30, 2023 | 4.21% |
| Mar 31, 2023 | 6.78% |
| Dec 31, 2022 | 6.71% |
| Sep 30, 2022 | 13.90% |
| Jun 30, 2022 | 19.62% |
| Mar 31, 2022 | 35.67% |
| Dec 31, 2021 | 40.71% |
| Sep 30, 2021 | 38.40% |
Newmark 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=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NMRK", "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=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();