Wolverine World Wide (WWW) Other Non-Current Liabilities (2009 - 2026)
Wolverine World Wide (WWW) reported Other Non-Current Liabilities of $26.1 million for Q2 2027, down 3.7% from $27.1 million a year earlier.
Analysis
Wolverine World Wide (WWW) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026, Wolverine World Wide posted Other Non-Current Liabilities of $28.1 million.
- Other Non-Current Liabilities has a five-year compound annual growth rate of -23.3% (FY2021 to FY2026).
- By year, Other Non-Current Liabilities came in at $34.8 million in FY2024 (-30.3%), $49.9 million in FY2023 (-14.8%) and $58.6 million in FY2022 (-44.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn |
| 10 | Wolverine World Wide | 1.65 Bn | 1.01 Bn | 235.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 26.10 Mn |
| Jan 3, 2026 | 28.10 Mn |
| Sep 27, 2025 | 27.20 Mn |
| Jun 28, 2025 | 27.10 Mn |
| Mar 29, 2025 | 32.70 Mn |
| Dec 28, 2024 | 34.80 Mn |
| Sep 28, 2024 | 48.80 Mn |
| Jun 29, 2024 | 56.00 Mn |
| Mar 30, 2024 | 49.00 Mn |
| Dec 30, 2023 | 49.90 Mn |
| Sep 30, 2023 | 53.60 Mn |
| Jul 1, 2023 | 55.00 Mn |
| Apr 1, 2023 | 57.80 Mn |
| Dec 31, 2022 | 58.60 Mn |
| Oct 1, 2022 | 73.00 Mn |
| Jul 2, 2022 | 91.00 Mn |
| Apr 2, 2022 | 97.40 Mn |
| Jan 1, 2022 | 106.10 Mn |
| Oct 2, 2021 | 98.60 Mn |
| Jul 3, 2021 | 120.40 Mn |
API Access
Wolverine World Wide Other 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=other-non-current-liabilities&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();