Wolverine World Wide (WWW) Buildings (2010 - 2026)
Wolverine World Wide's Buildings came in at $109.2 million for FY2026.
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Analysis
Wolverine World Wide (WWW) Buildings (2010 - 2026) Analysis & Trends
Going back to FY2010, Wolverine World Wide's Buildings data covers 14 years.
- Buildings carries a five-year compound annual growth rate of -2.2% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Buildings since FY2023.
- Per Business Quant, earlier years put Buildings at $96 million in FY2024 (-12.7%), $110 million in FY2023 (-9.7%) and $121.8 million in FY2022 (-0.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Wolverine World Wide | 1.57 Bn | 948.61 Mn | 235.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 109.20 Mn |
| Dec 28, 2024 | 96.00 Mn |
| Dec 30, 2023 | 110.00 Mn |
| Dec 31, 2022 | 121.80 Mn |
| Jan 1, 2022 | 122.20 Mn |
| Jan 2, 2021 | 119.60 Mn |
| Dec 28, 2019 | 123.20 Mn |
| Dec 29, 2018 | 108.80 Mn |
| Dec 30, 2017 | 103.50 Mn |
| Dec 31, 2016 | 125.10 Mn |
| Jan 2, 2016 | 105.60 Mn |
| Jan 3, 2015 | 114.30 Mn |
| Dec 28, 2013 | 119.00 Mn |
| Dec 29, 2012 | 107.00 Mn |
| Dec 31, 2011 | 73.93 Mn |
| Jan 1, 2011 | 71.72 Mn |
| Jan 2, 2010 | 80.51 Mn |
API Access
Wolverine World Wide Buildings 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=buildings&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();