Weyco (WEYS) Inventory (2010 - 2026)
Weyco (WEYS) recorded Inventory of $49.07 million in Q2 2026, down 31.1% from $71.26 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Weyco (WEYS) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Weyco reported Inventory of $65.89 million, down 11.0% from FY2024.
- Annual Inventory has declined for three straight years, though with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $74.01 million in FY2024 (-1.2%), $74.89 million in FY2023 (-41.5%), $127.98 million in FY2022 (+80.2%) and $71.03 million in FY2021 (+20.3%).
- The Q2 2026 figure is the lowest quarterly Inventory since Q2 2021.
- On a year-over-year basis, Inventory has declined for four consecutive quarters, with an average decline of 8.8% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 184.4% in Q2 2022, against a decline of 41.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $50.54 million (Q1 2026), $65.89 million (Q4 2025) and $67.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Weyco | 450.23 Mn | 92.91 Mn | 43.78 Mn | 49.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.07 Mn |
| Mar 31, 2026 | 50.54 Mn |
| Dec 31, 2025 | 65.89 Mn |
| Sep 30, 2025 | 67.18 Mn |
| Jun 30, 2025 | 71.26 Mn |
| Mar 31, 2025 | 68.19 Mn |
| Dec 31, 2024 | 74.01 Mn |
| Sep 30, 2024 | 72.19 Mn |
| Jun 30, 2024 | 67.94 Mn |
| Mar 31, 2024 | 61.96 Mn |
| Dec 31, 2023 | 74.89 Mn |
| Sep 30, 2023 | 79.57 Mn |
| Jun 30, 2023 | 103.86 Mn |
| Mar 31, 2023 | 106.68 Mn |
| Dec 31, 2022 | 127.98 Mn |
| Sep 30, 2022 | 112.05 Mn |
| Jun 30, 2022 | 95.48 Mn |
| Mar 31, 2022 | 62.06 Mn |
| Dec 31, 2021 | 71.03 Mn |
| Sep 30, 2021 | 52.94 Mn |
API Access
Weyco Inventory 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=inventory&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();