Weyco (WEYS) Total Non-Current Liabilities (2011 - 2026)
Weyco's Total Non-Current Liabilities came in at $55.9 million for Q2 2026, up 6.7% from $52.39 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Weyco (WEYS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Weyco's Total Non-Current Liabilities was $79.69 million, up 2.0% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $78.11 million in FY2024 (+21.3%), $64.38 million in FY2023 (-37.0%), $102.25 million in FY2022 (+36.6%) and $74.83 million in FY2021 (+9.2%).
- The five-year range for quarterly Total Non-Current Liabilities is $50.38 million (Q1 2025) to $102.25 million (Q4 2022).
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 55.7%), and the weakest in Q3 2023 (a decline of 46.8%).
- Business Quant data shows WEYS's Total Non-Current Liabilities at $52.23 million (Q1 2026), $79.69 million (Q4 2025) and $52.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.33 Bn |
| 10 | Weyco | 450.23 Mn | 92.91 Mn | 43.78 Mn | 55.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.90 Mn |
| Mar 31, 2026 | 52.23 Mn |
| Dec 31, 2025 | 79.69 Mn |
| Sep 30, 2025 | 52.27 Mn |
| Jun 30, 2025 | 52.39 Mn |
| Mar 31, 2025 | 50.38 Mn |
| Dec 31, 2024 | 78.11 Mn |
| Sep 30, 2024 | 56.20 Mn |
| Jun 30, 2024 | 52.23 Mn |
| Mar 31, 2024 | 54.75 Mn |
| Dec 31, 2023 | 64.38 Mn |
| Sep 30, 2023 | 53.05 Mn |
| Jun 30, 2023 | 56.47 Mn |
| Mar 31, 2023 | 79.52 Mn |
| Dec 31, 2022 | 102.25 Mn |
| Sep 30, 2022 | 99.68 Mn |
| Jun 30, 2022 | 63.77 Mn |
| Mar 31, 2022 | 57.79 Mn |
| Dec 31, 2021 | 74.83 Mn |
| Sep 30, 2021 | 64.01 Mn |
API Access
Weyco Total Non-Current 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-non-current-liabilities&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();