Weyco (WEYS) Return on Capital Employed [ROCE] (2011 - 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] (2011 - 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 | 52.05 Bn | 18.05 Bn | 5.39 Bn | 15.07% |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 23.21% |
| 10 | Weyco | 479.55 Mn | 122.23 Mn | 43.78 Mn | 15.42% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 8.95% |
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();