Weyco (WEYS) Return on Capital Employed [ROCE] (2009 - 2026)
Weyco (WEYS) recorded Return on Capital Employed [ROCE] of 15.42% in Q2 2026, up 3.74 percentage points from 11.68% a year earlier and up 5.05 percentage points from the prior quarter.
Weyco (WEYS) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Weyco reported Return on Capital Employed [ROCE] of 10.68%, down 2.91 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three straight years, though with a five-year change of +13.69 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 13.59% in FY2024 (-0.64 pp), 14.23% in FY2023 (-2.98 pp), 17.21% in FY2022 (+6.16 pp) and 11.05% in FY2021 (+14.06 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in 1 of the last eight quarters, with an average year-over-year change of -1.43 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 14.87 percentage points in Q1 2022, against a drop of 3.86 percentage points in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.37% (Q1 2026), 11.08% (Q4 2025) and 10.85% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 45.24% |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 23.86% |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 46.33% |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 15.75% |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 9.70% |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 25.66% |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 11.39% |
| 10 | Weyco | 58.63 Mn | -318.28 Mn | 38.26 Mn | 16.68% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.68% |
| Jun 30, 2026 | 15.42% |
| Mar 31, 2026 | 10.37% |
| Dec 31, 2025 | 11.08% |
| Sep 30, 2025 | 10.85% |
| Jun 30, 2025 | 11.68% |
| Mar 31, 2025 | 12.10% |
| Dec 31, 2024 | 13.45% |
| Sep 30, 2024 | 12.78% |
| Jun 30, 2024 | 13.65% |
| Mar 31, 2024 | 13.64% |
| Dec 31, 2023 | 15.22% |
| Sep 30, 2023 | 16.64% |
| Jun 30, 2023 | 16.85% |
| Mar 31, 2023 | 16.62% |
| Dec 31, 2022 | 16.07% |
| Sep 30, 2022 | 16.75% |
| Jun 30, 2022 | 12.69% |
| Mar 31, 2022 | 11.74% |
| Dec 31, 2021 | 11.05% |
Weyco 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=WEYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();