Wolverine World Wide (WWW) FCF Payout Ratio (2009 - 2026)
Wolverine World Wide's FCF Payout Ratio came in at 0.06 for Q4 2026, down 79.3% from the prior quarter.
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Analysis
Wolverine World Wide (WWW) FCF Payout Ratio (2009 - 2026) Analysis & Trends
For FY2026, Wolverine World Wide's FCF Payout Ratio was 0.27.
- Going back by year, FCF Payout Ratio was 0.20 in FY2024 (-33.2%) and 0.30 in FY2023.
- The Q4 2026 figure represents the lowest quarterly FCF Payout Ratio since Q2 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 0.41 |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 0.19 |
| 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 | 0.06 |
| Sep 27, 2025 | 0.28 |
| Jun 28, 2025 | 0.20 |
| Dec 28, 2024 | 0.11 |
| Sep 28, 2024 | 0.08 |
| Jun 29, 2024 | 0.34 |
| Dec 30, 2023 | 0.07 |
| Jul 1, 2023 | 0.06 |
| Dec 31, 2022 | 0.03 |
| Apr 3, 2021 | 0.35 |
| Sep 26, 2020 | 0.09 |
| Jun 27, 2020 | 0.07 |
| Dec 28, 2019 | 0.04 |
| Sep 28, 2019 | 5.06 |
| Jun 29, 2019 | 0.07 |
| Dec 29, 2018 | 0.06 |
| Jun 30, 2018 | 0.06 |
| Dec 30, 2017 | 0.04 |
| Jul 1, 2017 | 0.04 |
| Dec 31, 2016 | 0.04 |
API Access
Wolverine World Wide FCF 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=fcf-payout-ratio&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-payout-ratio&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();