Wolverine World Wide (WWW) Gross Margin (2009 - 2026)
Wolverine World Wide (WWW) reported Gross Margin of 46.47% for Q2 2027, down 0.77 percentage points from 47.24% a year earlier.
Wolverine World Wide (WWW) Gross Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Wolverine World Wide's Gross Margin came in at 47.04%, up 1.29 percentage points year-over-year; for FY2026, it was 47.31%.
- Gross Margin has a five-year change of +4.66 percentage points (FY2021 to FY2026).
- By year, Gross Margin came in at 44.33% in FY2024 (+5.37 pp), 38.96% in FY2023 (-0.91 pp) and 39.87% in FY2022 (-2.78 pp).
- The Q2 2027 figure ranks as the lowest quarterly Gross Margin since Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 49.15% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 62.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 29.05% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 59.05% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 59.41% |
| 10 | Wolverine World Wide | 1.57 Bn | 948.61 Mn | 235.30 Mn | 46.47% |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 46.47% |
| Jan 3, 2026 | 47.03% |
| Sep 27, 2025 | 47.46% |
| Jun 28, 2025 | 47.24% |
| Mar 29, 2025 | 47.25% |
| Dec 28, 2024 | 43.60% |
| Sep 28, 2024 | 45.14% |
| Jun 29, 2024 | 43.09% |
| Mar 30, 2024 | 45.94% |
| Dec 30, 2023 | 36.91% |
| Sep 30, 2023 | 40.82% |
| Jul 1, 2023 | 38.67% |
| Apr 1, 2023 | 39.42% |
| Dec 31, 2022 | 33.71% |
| Oct 1, 2022 | 40.18% |
| Jul 2, 2022 | 43.04% |
| Apr 2, 2022 | 42.50% |
| Oct 2, 2021 | 43.16% |
| Jul 3, 2021 | 42.79% |
| Apr 3, 2021 | 43.53% |
Wolverine World Wide Gross 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=gross-margin&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();