Wolverine World Wide (WWW) Price to FCF (2011 - 2026)
Wolverine World Wide's Price to FCF came in at 11.80 for Q4 2026, down 72.0% from the prior quarter.
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Analysis
Wolverine World Wide (WWW) Price to FCF (2011 - 2026) Analysis & Trends
Going back to Q1 2015, Wolverine World Wide's Price to FCF data covers 12 quarters.
- Going back by year, Price to FCF was 11.30 in FY2024 (+70.9%) and 6.61 in FY2023.
- The five-year range for quarterly Price to FCF is 10.06 (Q1 2026) to 42.09 (Q3 2026).
- Business Quant data shows WWW's Price to FCF at 42.09 (Q3 2026), 11.74 (Q2 2026) and 10.06 (Q1 2026) in the three quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Wolverine World Wide | 1.58 Bn | 955.17 Mn | 235.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 11.80 |
| Sep 27, 2025 | 42.09 |
| Jun 28, 2025 | 11.74 |
| Mar 29, 2025 | 10.06 |
| Dec 28, 2024 | 11.30 |
| Sep 28, 2024 | 6.87 |
| Jun 29, 2024 | 19.01 |
| Mar 30, 2024 | 5.27 |
| Dec 30, 2023 | 6.61 |
| Sep 30, 2023 | 2.24 |
| Jul 1, 2023 | 14.55 |
| Jan 1, 2022 | 13.56 |
| Apr 3, 2021 | 20.47 |
| Sep 26, 2020 | 6.46 |
| Jun 27, 2020 | 7.50 |
| Mar 28, 2020 | 5.02 |
| Dec 28, 2019 | 14.69 |
| Sep 28, 2019 | 20.38 |
| Jun 29, 2019 | 510.40 |
| Mar 30, 2019 | 10,570.68 |
API Access
Wolverine World Wide Price to FCF 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=price-to-fcf&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();