Wolverine World Wide (WWW) Net Margin (2009 - 2026)
Wolverine World Wide's Net Margin came in at 6.16% for Q2 2027, up 0.51 percentage points from 5.65% a year earlier.
Wolverine World Wide (WWW) Net Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Wolverine World Wide reported Net Margin of 5.84%, up 1.16 percentage points year-over-year; for FY2026, it was 5.11%.
- Net Margin carries a five-year change of +2.27 percentage points (FY2021 to FY2026).
- Going back by year, Net Margin was 2.58% in FY2024 (+4.29 pp), -1.72% in FY2023 (+5.30 pp) and -7.01% in FY2022 (-9.85 pp).
- The Q2 2027 figure represents the highest quarterly Net Margin since Q2 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 9.74% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 18.53% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 13.38% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 13.63% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 5.59% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -3.16% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 15.23% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 17.37% |
| 10 | Wolverine World Wide | 1.57 Bn | 948.61 Mn | 235.30 Mn | 6.16% |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 6.16% |
| Jan 3, 2026 | 6.14% |
| Sep 27, 2025 | 5.34% |
| Jun 28, 2025 | 5.65% |
| Mar 29, 2025 | 2.93% |
| Dec 28, 2024 | 4.67% |
| Sep 28, 2024 | 5.27% |
| Jun 29, 2024 | 3.25% |
| Mar 30, 2024 | -3.77% |
| Dec 30, 2023 | -17.11% |
| Sep 30, 2023 | 1.63% |
| Jul 1, 2023 | 4.07% |
| Apr 1, 2023 | 3.17% |
| Dec 31, 2022 | -54.38% |
| Oct 1, 2022 | 5.64% |
| Jul 2, 2022 | 17.46% |
| Apr 2, 2022 | 1.58% |
| Jul 3, 2021 | 7.07% |
| Apr 3, 2021 | 7.54% |
| Jan 2, 2021 | -33.50% |
Wolverine World Wide Net Margin 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=net-margin&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();