Weyco (WEYS) Interest Coverage Ratio (2010 - 2026)
Weyco's (WEYS) Interest Coverage Ratio stood at 1876.00 in Q1 2026, down 73.3% from 7031.00 a year earlier.
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Analysis
Weyco (WEYS) Interest Coverage Ratio (2010 - 2026) Analysis & Trends
For FY2025, Weyco's Interest Coverage Ratio came in at 14586.00, up 497.6% from FY2024.
- Across earlier years, Interest Coverage Ratio came in at 2440.93 in FY2024, 77.55 in FY2023 (+36.4%), 56.85 in FY2022 (-82.1%) and 317.31 in FY2021.
- The Q1 2026 figure is the lowest quarterly Interest Coverage Ratio since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 26.34 |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 9.47 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.54 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 4.72 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 14.35 |
| 10 | Weyco | 450.23 Mn | 92.91 Mn | 43.78 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1,876.00 |
| Jun 30, 2025 | 3,893.00 |
| Mar 31, 2025 | 7,031.00 |
| Sep 30, 2024 | 677.53 |
| Dec 31, 2023 | 1,643.57 |
| Sep 30, 2023 | 2,486.60 |
| Jun 30, 2023 | 50.76 |
| Mar 31, 2023 | 26.98 |
| Dec 31, 2022 | 30.06 |
| Sep 30, 2022 | 72.12 |
| Jun 30, 2022 | 515.00 |
| Mar 31, 2022 | 5,431.00 |
| Jun 30, 2021 | 61.38 |
| Mar 31, 2021 | 233.43 |
| Dec 31, 2020 | 395.70 |
| Sep 30, 2020 | -640.00 |
| Jun 30, 2020 | -6,506.50 |
| Mar 31, 2020 | 26.29 |
| Dec 31, 2019 | 140.74 |
| Sep 30, 2019 | 88.43 |
API Access
Weyco Interest Coverage Ratio 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=interest-coverage-ratio&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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=interest-coverage-ratio&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();