Wolverine World Wide (WWW) Payout Ratio (2011 - 2026)
Wolverine World Wide's Payout Ratio came in at 0.35 for Q4 2026, down 8.5% from the prior quarter.
Analysis
Wolverine World Wide (WWW) Payout Ratio (2011 - 2026) Analysis & Trends
Going back to Q1 2015, Wolverine World Wide's Payout Ratio data covers 11 quarters.
- Going back by year, Payout Ratio was 0.72 in FY2024.
- The Q4 2026 figure represents the lowest quarterly Payout Ratio since Q1 2021.
- Business Quant data shows WWW's Payout Ratio at 0.38 (Q3 2026), 0.39 (Q2 2026) and 0.46 (Q1 2026) in the three quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Wolverine World Wide | 1.57 Bn | 946.97 Mn | 235.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 0.35 |
| Sep 27, 2025 | 0.38 |
| Jun 28, 2025 | 0.39 |
| Mar 29, 2025 | 0.46 |
| Dec 28, 2024 | 0.72 |
| Oct 1, 2022 | 0.16 |
| Jul 2, 2022 | 0.20 |
| Apr 2, 2022 | 0.38 |
| Jan 1, 2022 | 0.28 |
| Sep 26, 2020 | 1.02 |
| Jun 27, 2020 | 0.57 |
| Mar 28, 2020 | 0.34 |
| Dec 28, 2019 | 0.26 |
| Sep 28, 2019 | 0.20 |
| Jun 29, 2019 | 0.18 |
| Mar 30, 2019 | 0.16 |
| Dec 29, 2018 | 0.14 |
| Sep 29, 2018 | 0.26 |
| Jun 30, 2018 | 0.38 |
| Mar 31, 2018 | 0.76 |
API Access
Wolverine World Wide Payout Ratio 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=payout-ratio&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();