Weyco (WEYS) Return on Sales [ROS] (2010 - 2026)
Weyco's Return on Sales [ROS] came in at 27.36% for Q2 2026, up 20.67 percentage points from 6.69% a year earlier and up 16.32 percentage points from the prior quarter.
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Analysis
Weyco (WEYS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Weyco reported Return on Sales [ROS] of 15.27%, up 3.66 percentage points year-over-year; for FY2025, it was 10.56%, down 2.05 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +14.45 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 12.61% in FY2024 (-0.29 pp), 12.90% in FY2023 (+1.42 pp), 11.48% in FY2022 (+1.87 pp) and 9.60% in FY2021 (+13.49 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +1.46 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2026 (a gain of 20.67 percentage points), and the weakest in Q2 2025 (a drop of 3.73 percentage points).
- Business Quant data shows WEYS's Return on Sales [ROS] at 11.03% (Q1 2026), 13.27% (Q4 2025) and 11.02% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Weyco | 486.05 Mn | 128.72 Mn | 43.78 Mn | 27.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.36% |
| Mar 31, 2026 | 11.03% |
| Dec 31, 2025 | 13.27% |
| Sep 30, 2025 | 11.02% |
| Jun 30, 2025 | 6.69% |
| Mar 31, 2025 | 10.34% |
| Dec 31, 2024 | 14.34% |
| Sep 30, 2024 | 13.67% |
| Jun 30, 2024 | 10.42% |
| Mar 31, 2024 | 11.53% |
| Dec 31, 2023 | 14.28% |
| Sep 30, 2023 | 14.77% |
| Jun 30, 2023 | 10.00% |
| Mar 31, 2023 | 12.04% |
| Dec 31, 2022 | 15.21% |
| Sep 30, 2022 | 14.65% |
| Jun 30, 2022 | 7.62% |
| Mar 31, 2022 | 6.68% |
| Dec 31, 2021 | 12.61% |
| Sep 30, 2021 | 10.92% |
API Access
Weyco 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=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WEYS", "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=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();