Wolverine World Wide (WWW) Asset Writedowns and Impairment (2022 - 2024)
Wolverine World Wide (WWW) reported Asset Writedowns and Impairment of $9.3 million for FY2024, down 95.0% from $185.3 million in FY2023.
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Analysis
Wolverine World Wide (WWW) Asset Writedowns and Impairment (2022 - 2024) Analysis & Trends
Dating back to FY2015, Wolverine World Wide's Asset Writedowns and Impairment record includes 7 years.
- Asset Writedowns and Impairment has a three-year compound annual growth rate of -65.3% (FY2021 to FY2024).
- The FY2024 figure ranks as the lowest annual Asset Writedowns and Impairment since FY2016.
- According to Business Quant data, Asset Writedowns and Impairment came in at $185.3 million in FY2023 (-56.8%), $428.7 million in FY2022 and $222.2 million in FY2021.
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 |
|---|---|
| Jun 29, 2024 | 3.20 Mn |
| Mar 30, 2024 | 6.10 Mn |
| Dec 30, 2023 | 129.50 Mn |
| Sep 30, 2023 | 40.20 Mn |
| Jul 1, 2023 | 15.60 Mn |
| Dec 31, 2022 | 428.70 Mn |
API Access
Wolverine World Wide Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();