Wolverine World Wide (WWW) Debt Ratio (2009 - 2026)
Wolverine World Wide's (WWW) Debt Ratio was 0.35 for Q2 2027, down 8.5% from 0.38 a year earlier.
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Analysis
Wolverine World Wide (WWW) Debt Ratio (2009 - 2026) Analysis & Trends
For FY2026, Debt Ratio at Wolverine World Wide was 0.36.
- By year, Debt Ratio came in at 0.38 in FY2024 (-13.7%), 0.44 in FY2023 (-4.1%) and 0.46 in FY2022 (+24.5%).
- The Q2 2027 figure ranks as the lowest quarterly Debt Ratio since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 0.21 |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 0.16 |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 0.16 |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 0.45 |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 0.30 |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 0.30 |
| 10 | Wolverine World Wide | 1.58 Bn | 958.46 Mn | 235.30 Mn | 0.35 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 0.35 |
| Jan 3, 2026 | 0.36 |
| Sep 27, 2025 | 0.40 |
| Jun 28, 2025 | 0.38 |
| Mar 29, 2025 | 0.42 |
| Dec 28, 2024 | 0.38 |
| Sep 28, 2024 | 0.39 |
| Jun 29, 2024 | 0.45 |
| Mar 30, 2024 | 0.46 |
| Dec 30, 2023 | 0.44 |
| Sep 30, 2023 | 0.49 |
| Jul 1, 2023 | 0.47 |
| Apr 1, 2023 | 0.48 |
| Dec 31, 2022 | 0.46 |
| Oct 1, 2022 | 0.46 |
| Jul 2, 2022 | 0.41 |
| Apr 2, 2022 | 0.39 |
| Jan 1, 2022 | 0.37 |
| Oct 2, 2021 | 0.38 |
| Jul 3, 2021 | 0.31 |
API Access
Wolverine World Wide 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=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "WWW", "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=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();