Weyco (WEYS) Revenue (2010 - 2026)
Weyco (WEYS) posted Revenue of $62.22 million for Q2 2026, up 6.9% from $58.22 million a year earlier but down 8.5% from the prior quarter.
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Analysis
Weyco (WEYS) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Weyco was $280.14 million, down 0.3% year-over-year; for FY2025, it was $276.17 million, down 4.9% from FY2024.
- Annual Revenue has declined for three consecutive years, though with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Weyco's Revenue was $290.29 million in FY2024 (-8.7%), $318.05 million in FY2023 (-9.6%), $351.74 million in FY2022 (+31.4%) and $267.64 million in FY2021 (+37.0%).
- Quarterly Revenue has run from a low of $58.22 million in Q2 2025 to a high of $101.38 million in Q4 2021 over five years.
- On a year-over-year basis, Revenue increased in 1 of the last eight quarters, with an average decline of 3.1%.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2022, with growth of 73.5%; the weakest was Q4 2023, with a decline of 18.6%.
- According to Business Quant data, Revenue for the three prior quarters was $68.01 million (Q1 2026), $76.8 million (Q4 2025) and $73.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Weyco | 450.23 Mn | 92.91 Mn | 43.78 Mn | 62.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.22 Mn |
| Mar 31, 2026 | 68.01 Mn |
| Dec 31, 2025 | 76.80 Mn |
| Sep 30, 2025 | 73.12 Mn |
| Jun 30, 2025 | 58.22 Mn |
| Mar 31, 2025 | 68.03 Mn |
| Dec 31, 2024 | 80.47 Mn |
| Sep 30, 2024 | 74.33 Mn |
| Jun 30, 2024 | 63.93 Mn |
| Mar 31, 2024 | 71.56 Mn |
| Dec 31, 2023 | 80.59 Mn |
| Sep 30, 2023 | 84.15 Mn |
| Jun 30, 2023 | 67.01 Mn |
| Mar 31, 2023 | 86.29 Mn |
| Dec 31, 2022 | 99.05 Mn |
| Sep 30, 2022 | 96.97 Mn |
| Jun 30, 2022 | 74.36 Mn |
| Mar 31, 2022 | 81.36 Mn |
| Dec 31, 2021 | 101.38 Mn |
| Sep 30, 2021 | 61.80 Mn |
API Access
Weyco Revenue 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=revenue&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();