Newmark (NMRK) Return on Sales [ROS] (2017 - 2026)
Newmark's Return on Sales [ROS] came in at 4.55% for Q2 2026, down 1.08 percentage points from 5.63% a year earlier but up 1.36 percentage points from the prior quarter.
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Analysis
Newmark (NMRK) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Newmark reported Return on Sales [ROS] of 7.66%, up 1.96 percentage points year-over-year; for FY2025, it came in at 7.10%, up 1.15 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -2.55 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 5.95% in FY2024 (+0.89 pp), 5.07% in FY2023 (-1.79 pp), 6.86% in FY2022 (-36.31 pp) and 43.16% in FY2021 (+33.51 pp).
- The five-year range for quarterly Return on Sales [ROS] is -4.14% (Q1 2024) to 28.62% (Q3 2021).
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +1.51 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 22.79 percentage points), and the weakest in Q2 2022 (a drop of 105.06 percentage points).
- Business Quant data shows NMRK's Return on Sales [ROS] at 3.18% (Q1 2026), 12.29% (Q4 2025) and 9.86% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | 12.33% |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 3.25% |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 4.20% |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 2.88% |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 0.05% |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 4.86% |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 4.55% |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 1.09% |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 0.11% |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | -6.04% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.55% |
| Mar 31, 2026 | 3.18% |
| Dec 31, 2025 | 12.29% |
| Sep 30, 2025 | 9.86% |
| Jun 30, 2025 | 5.63% |
| Mar 31, 2025 | -2.63% |
| Dec 31, 2024 | 11.90% |
| Sep 30, 2024 | 5.98% |
| Jun 30, 2024 | 6.43% |
| Mar 31, 2024 | -4.14% |
| Dec 31, 2023 | 10.63% |
| Sep 30, 2023 | 4.88% |
| Jun 30, 2023 | 4.70% |
| Mar 31, 2023 | -2.27% |
| Dec 31, 2022 | 4.17% |
| Sep 30, 2022 | 8.80% |
| Jun 30, 2022 | 11.80% |
| Mar 31, 2022 | 1.86% |
| Dec 31, 2021 | 23.25% |
| Sep 30, 2021 | 28.62% |
API Access
Newmark Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=NMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();