Weyco (WEYS) Debt Ratio (2010 - 2023)
Weyco's (WEYS) Debt Ratio stood at 0.01 in Q2 2023, down 55.7% from 0.02 a year earlier and down 86.7% from the prior quarter.
Analysis
Weyco (WEYS) Debt Ratio (2010 - 2023) Analysis & Trends
For FY2022, Weyco's Debt Ratio came in at 0.10.
- Across earlier years, Debt Ratio came in at 0.02 in FY2019 (+9.8%) and 0.02 in FY2018.
- The Q2 2023 figure is the lowest quarterly Debt Ratio in data going back to Q4 2010.
- Per Business Quant, the preceding three quarters came in at 0.07 (Q1 2023), 0.10 (Q4 2022) and 0.11 (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 0.21 |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 0.16 |
| 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 | 0.16 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 0.45 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 0.30 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 0.30 |
| 10 | Weyco | 450.23 Mn | 92.91 Mn | 43.78 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 0.01 |
| Mar 31, 2023 | 0.07 |
| Dec 31, 2022 | 0.10 |
| Sep 30, 2022 | 0.11 |
| Jun 30, 2022 | 0.02 |
| Sep 30, 2020 | 0.02 |
| Dec 31, 2019 | 0.02 |
| Sep 30, 2019 | 0.06 |
| Jun 30, 2019 | 0.04 |
| Mar 31, 2019 | 0.01 |
| Dec 31, 2018 | 0.02 |
| Sep 30, 2018 | 0.03 |
| Sep 30, 2017 | 0.02 |
| Dec 31, 2016 | 0.02 |
| Sep 30, 2016 | 0.08 |
| Jun 30, 2016 | 0.06 |
| Mar 31, 2016 | 0.09 |
| Dec 31, 2015 | 0.09 |
| Sep 30, 2015 | 0.14 |
| Jun 30, 2015 | 0.07 |
API Access
Weyco Debt 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=debt-ratio&ticker=WEYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-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=debt-ratio&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();