Wolverine World Wide (WWW) Return on Assets [ROA] (2010 - 2026)
Wolverine World Wide's Return on Assets [ROA] was 7.07% in Q2 2027, up 1.93 percentage points from 5.14% a year earlier.
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Analysis
Wolverine World Wide (WWW) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2026, Return on Assets [ROA] at Wolverine World Wide came in at 5.97%.
- Return on Assets [ROA] shows a five-year change of +3.13 percentage points (FY2021 to FY2026).
- In earlier years, Return on Assets [ROA] was 2.61% in FY2024 (+4.28 pp), -1.67% in FY2023 (+5.77 pp) and -7.45% in FY2022 (-10.28 pp).
- The Q2 2027 figure marks the highest quarterly Return on Assets [ROA] since Q3 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 8.12% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.22% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 12.77% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 16.67% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 9.68% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 0.77% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 6.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 13.64% |
| 10 | Wolverine World Wide | 1.58 Bn | 955.17 Mn | 235.30 Mn | 7.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 7.07% |
| Jan 3, 2026 | 5.91% |
| Sep 27, 2025 | 5.24% |
| Jun 28, 2025 | 5.14% |
| Mar 29, 2025 | 4.53% |
| Dec 28, 2024 | 2.84% |
| Sep 28, 2024 | -3.62% |
| Jun 29, 2024 | -4.35% |
| Mar 30, 2024 | -3.59% |
| Dec 30, 2023 | -1.77% |
| Sep 30, 2023 | -13.49% |
| Jul 1, 2023 | -11.71% |
| Apr 1, 2023 | -7.31% |
| Dec 31, 2022 | -6.68% |
| Oct 1, 2022 | 6.74% |
| Jul 2, 2022 | 5.85% |
| Apr 2, 2022 | 3.24% |
| Jan 1, 2022 | 4.42% |
| Oct 2, 2021 | 4.16% |
| Jul 3, 2021 | 4.49% |
API Access
Wolverine World Wide Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();