Wolverine World Wide (WWW) Dividend Yield (2011 - 2026)
Wolverine World Wide's Dividend Yield came in at 2.25% for Q4 2026, up 0.80 percentage points from the prior quarter.
Analysis
Wolverine World Wide (WWW) Dividend Yield (2011 - 2026) Analysis & Trends
Going back to Q1 2015, Wolverine World Wide's Dividend Yield data covers 12 quarters.
- Dividend Yield carries a five-year change of +0.83 percentage points (FY2021 to FY2026).
- Going back by year, Dividend Yield was 1.80% in FY2024 (-2.80 pp), 4.60% in FY2023 (+0.80 pp) and 3.80% in FY2022 (+2.38 pp).
- The five-year range for quarterly Dividend Yield is 1.08% (Q1 2022) to 2.95% (Q1 2026).
- Business Quant data shows WWW's Dividend Yield at 1.45% (Q3 2026), 2.19% (Q2 2026) and 2.95% (Q1 2026) in the three quarters before Q4 2026.
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 | 2.25% |
| Sep 27, 2025 | 1.45% |
| Jun 28, 2025 | 2.19% |
| Mar 29, 2025 | 2.95% |
| Dec 28, 2024 | 1.80% |
| Sep 28, 2024 | 2.32% |
| Jun 29, 2024 | 3.00% |
| Mar 30, 2024 | 3.60% |
| Dec 30, 2023 | 4.60% |
| Sep 30, 2023 | 5.09% |
| Jul 1, 2023 | 2.77% |
| Apr 1, 2023 | 2.42% |
| Dec 31, 2022 | 3.80% |
| Oct 1, 2022 | 2.71% |
| Jul 2, 2022 | 2.13% |
| Apr 2, 2022 | 1.87% |
| Jan 1, 2022 | 1.40% |
| Apr 3, 2021 | 1.08% |
| Sep 26, 2020 | 1.57% |
| Jun 27, 2020 | 1.92% |
API Access
Wolverine World Wide Dividend Yield 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=dividend-yield&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();