Weyco (WEYS) Total Liabilities (2010 - 2026)
Weyco (WEYS) reported Total Liabilities of $56.28 million for Q2 2026, up 6.4% from $52.87 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Weyco (WEYS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Weyco posted Total Liabilities of $80.1 million, up 2.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- By year, Total Liabilities came in at $78.5 million in FY2024 (+21.1%), $64.85 million in FY2023 (-36.9%), $102.72 million in FY2022 (+34.7%) and $76.27 million in FY2021 (+10.9%).
- Five-year quarterly Total Liabilities spans a low of $50.75 million in Q1 2025 and a high of $102.72 million in Q4 2022.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with growth averaging 3.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2022 (growth of 53.4%); the low point was Q3 2023 (a decline of 46.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $52.62 million (Q1 2026), $80.1 million (Q4 2025) and $52.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.97 Bn |
| 10 | Weyco | 450.23 Mn | 92.91 Mn | 43.78 Mn | 56.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.28 Mn |
| Mar 31, 2026 | 52.62 Mn |
| Dec 31, 2025 | 80.10 Mn |
| Sep 30, 2025 | 52.72 Mn |
| Jun 30, 2025 | 52.87 Mn |
| Mar 31, 2025 | 50.75 Mn |
| Dec 31, 2024 | 78.50 Mn |
| Sep 30, 2024 | 56.57 Mn |
| Jun 30, 2024 | 52.62 Mn |
| Mar 31, 2024 | 55.16 Mn |
| Dec 31, 2023 | 64.85 Mn |
| Sep 30, 2023 | 53.48 Mn |
| Jun 30, 2023 | 56.95 Mn |
| Mar 31, 2023 | 80.04 Mn |
| Dec 31, 2022 | 102.72 Mn |
| Sep 30, 2022 | 100.70 Mn |
| Jun 30, 2022 | 65.32 Mn |
| Mar 31, 2022 | 59.42 Mn |
| Dec 31, 2021 | 76.27 Mn |
| Sep 30, 2021 | 65.64 Mn |
API Access
Weyco Total Liabilities 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=total-liabilities&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();