Wolverine World Wide (WWW) Accumulated Expenses (2009 - 2012)
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 - 2012) 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 | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Wolverine World Wide | 1.58 Bn | 955.17 Mn | 235.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2012 | 75,000.00 |
| Dec 31, 2011 | 330,000.00 |
| Sep 10, 2011 | 543,000.00 |
| Jun 18, 2011 | 641,000.00 |
| Mar 26, 2011 | 1.05 Mn |
| Jan 1, 2011 | 1.31 Mn |
| Sep 11, 2010 | 3.12 Mn |
| Jun 19, 2010 | 3.34 Mn |
| Mar 27, 2010 | 3.56 Mn |
| Jan 2, 2010 | 5.93 Mn |
| Sep 12, 2009 | 4.77 Mn |
| Jun 20, 2009 | 3.12 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();