Wolverine World Wide (WWW) Sales of Property, Plant and Equipment (2013 - 2022)
Wolverine World Wide's Sales of Property, Plant and Equipment came in at $102.4 million for FY2024, down 45.8% from $188.9 million in FY2023.
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Analysis
Wolverine World Wide (WWW) Sales of Property, Plant and Equipment (2013 - 2022) Analysis & Trends
Going back to FY2009, Wolverine World Wide's Sales of Property, Plant and Equipment data covers 9 years.
- Sales of Property, Plant and Equipment carries a three-year compound annual growth rate of 700.0% (FY2021 to FY2024).
- The five-year range for annual Sales of Property, Plant and Equipment is $200,000 (FY2021) to $188.9 million (FY2023).
- Per Business Quant, earlier years put Sales of Property, Plant and Equipment at $188.9 million in FY2023 (+109.9%), $90 million in FY2022 and $200,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (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 | 103,450.21 |
| 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 |
|---|---|
| Jan 1, 2022 | -100,000.00 |
| Dec 28, 2019 | -100,000.00 |
| Mar 23, 2013 | 2.80 Mn |
API Access
Wolverine World Wide Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();