Wolverine World Wide (WWW) Depreciation and Depletion (2009 - 2012)
Wolverine World Wide (WWW) reported Depreciation and Depletion of $21.1 million for FY2026.
Analysis
Wolverine World Wide (WWW) Depreciation and Depletion (2009 - 2012) Analysis & Trends
Dating back to FY2009, Wolverine World Wide's Depreciation and Depletion record includes 15 years.
- Depreciation and Depletion has a five-year compound annual growth rate of -3.2% (FY2021 to FY2026).
- The FY2026 figure ranks as the lowest annual Depreciation and Depletion since FY2011.
- According to Business Quant data, Depreciation and Depletion came in at $21.4 million in FY2024 (-22.7%), $27.7 million in FY2023 (+3.7%) and $26.7 million in FY2022 (+7.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 56.50 Mn |
| 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 | 10.10 Mn |
| Sep 8, 2012 | 3.72 Mn |
| Jun 16, 2012 | 3.70 Mn |
| Mar 24, 2012 | 3.68 Mn |
| Dec 31, 2011 | 4.20 Mn |
| Sep 10, 2011 | 3.62 Mn |
| Jun 18, 2011 | 3.52 Mn |
| Mar 26, 2011 | 3.56 Mn |
| Jan 1, 2011 | 2.66 Mn |
| Mar 27, 2010 | 3.46 Mn |
| Sep 12, 2009 | 5.28 Mn |
API Access
Wolverine World Wide Depreciation and Depletion 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=depreciation-and-depletion&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();