Wolverine World Wide (WWW) Accumulated Expenses (2009 - 2026)
Wolverine World Wide (WWW) recorded Accumulated Expenses of $75,000 in Q4 2012, down 77.3% from $330,000 a year earlier.
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Analysis
Wolverine World Wide (WWW) Accumulated Expenses (2009 - 2026) Analysis & Trends
Starting with Q4 2010, Wolverine World Wide's Accumulated Expenses history includes 6 quarters.
- Across earlier years, Accumulated Expenses came in at $330,000 in FY2011 (-74.9%) and $1.31 million in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn |
| 10 | Wolverine World Wide | 1.78 Bn | 1.18 Bn | 235.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 24.90 Mn |
| Apr 4, 2026 | 19.30 Mn |
| Jan 3, 2026 | 43.10 Mn |
| Sep 27, 2025 | 34.20 Mn |
| Jun 28, 2025 | 30.00 Mn |
| Mar 29, 2025 | 23.50 Mn |
| Dec 28, 2024 | 35.10 Mn |
| Sep 28, 2024 | 29.70 Mn |
| Jun 29, 2024 | 28.20 Mn |
| Mar 30, 2024 | 28.90 Mn |
| Dec 30, 2023 | 37.10 Mn |
| Sep 30, 2023 | 21.80 Mn |
| Jul 1, 2023 | 19.20 Mn |
| Apr 1, 2023 | 23.90 Mn |
| Dec 31, 2022 | 32.30 Mn |
| Oct 1, 2022 | 26.50 Mn |
| Jul 2, 2022 | 28.60 Mn |
| Apr 2, 2022 | 18.90 Mn |
| Oct 2, 2021 | 39.10 Mn |
| Jul 3, 2021 | 33.70 Mn |
API Access
Wolverine World Wide Accumulated Expenses 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=accumulated-expenses&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();