Cushman & Wakefield (CWK) Return on Sales [ROS] (2017 - 2026)
Cushman & Wakefield (CWK) posted Return on Sales [ROS] of 4.86% for Q2 2026, down 0.09 percentage points from 4.94% a year earlier but up 2.54 percentage points from the prior quarter.
Cushman & Wakefield (CWK) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Cushman & Wakefield was 4.41%, up 0.12 percentage points year-over-year; for FY2025, it came in at 4.40%, up 0.81 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +5.08 percentage points (FY2020 to FY2025).
- In prior years, Cushman & Wakefield's Return on Sales [ROS] was 3.59% in FY2024 (+1.42 pp), 2.17% in FY2023 (-3.13 pp), 5.30% in FY2022 (unchanged) and 5.29% in FY2021 (+5.97 pp).
- Quarterly Return on Sales [ROS] has run from a low of -0.81% in Q1 2023 to a high of 8.65% in Q4 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +0.83 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2022, with a gain of 6.18 percentage points; the weakest was Q1 2023, with a drop of 6.62 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 2.31% (Q1 2026), 6.07% (Q4 2025) and 4.13% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 3.25% |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | 12.33% |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | 4.20% |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | 2.88% |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 0.05% |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 4.86% |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 4.55% |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | 1.09% |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 0.11% |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - | -6.04% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.86% |
| Mar 31, 2026 | 2.31% |
| Dec 31, 2025 | 6.07% |
| Sep 30, 2025 | 4.13% |
| Jun 30, 2025 | 4.94% |
| Mar 31, 2025 | 1.98% |
| Dec 31, 2024 | 6.64% |
| Sep 30, 2024 | 3.21% |
| Jun 30, 2024 | 3.08% |
| Mar 31, 2024 | 0.86% |
| Dec 31, 2023 | 4.31% |
| Sep 30, 2023 | 2.52% |
| Jun 30, 2023 | 2.34% |
| Mar 31, 2023 | -0.81% |
| Dec 31, 2022 | 4.20% |
| Sep 30, 2022 | 4.46% |
| Jun 30, 2022 | 6.76% |
| Mar 31, 2022 | 5.80% |
| Dec 31, 2021 | 8.65% |
| Sep 30, 2021 | 5.59% |
Cushman & Wakefield 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=CWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CWK", "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=CWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();