Wolverine World Wide (WWW) Change in Taxes (2010 - 2026)
Wolverine World Wide (WWW) recorded Change in Taxes of $200,000 in Q4 2026.
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Analysis
Wolverine World Wide (WWW) Change in Taxes (2010 - 2026) Analysis & Trends
For FY2024, Wolverine World Wide reported Change in Taxes of -$4.3 million.
- Across earlier years, Change in Taxes came in at -$2.3 million in FY2023, $2.4 million in FY2022 (+50.0%) and $1.6 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (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 | 20.00 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 62.87 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 39.42 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -90.02 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 15.40 Mn |
| 10 | Wolverine World Wide | 1.58 Bn | 955.17 Mn | 235.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 200,000.00 |
| Sep 27, 2025 | -400,000.00 |
| Jun 28, 2025 | 200,000.00 |
| Dec 28, 2024 | 500,000.00 |
| Sep 28, 2024 | -100,000.00 |
| Jun 29, 2024 | -4.30 Mn |
| Mar 30, 2024 | -400,000.00 |
| Dec 30, 2023 | -7.90 Mn |
| Sep 30, 2023 | -500,000.00 |
| Jul 1, 2023 | -6.90 Mn |
| Apr 1, 2023 | 13.00 Mn |
| Dec 31, 2022 | -3.30 Mn |
| Oct 1, 2022 | -19.80 Mn |
| Jul 2, 2022 | 17.30 Mn |
| Apr 2, 2022 | 8.20 Mn |
| Jan 1, 2022 | -13.50 Mn |
| Apr 3, 2021 | -200,000.00 |
| Sep 26, 2020 | 11.60 Mn |
| Jun 27, 2020 | 800,000.00 |
| Mar 28, 2020 | 2.70 Mn |
API Access
Wolverine World Wide Change in Taxes 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=change-in-taxes&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();