Wolverine World Wide (WWW) EV to FCF (2011 - 2026)
Wolverine World Wide's EV to FCF was 10.28 in Q4 2026, down 74.2% from the prior quarter.
Analysis
Wolverine World Wide (WWW) EV to FCF (2011 - 2026) Analysis & Trends
From Q1 2015 onward, Wolverine World Wide has reported EV to FCF for 12 quarters.
- In earlier years, EV to FCF was 10.41 in FY2024 (+102.3%) and 5.14 in FY2023.
- Quarterly EV to FCF has moved between 9.19 (Q1 2026) and 39.88 (Q3 2026) over five years.
- Per Business Quant data, WWW's EV to FCF in the three quarters before Q4 2026 was 39.88 (Q3 2026), 10.74 (Q2 2026) and 9.19 (Q1 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 | 10.28 |
| Sep 27, 2025 | 39.88 |
| Jun 28, 2025 | 10.74 |
| Mar 29, 2025 | 9.19 |
| Dec 28, 2024 | 10.41 |
| Sep 28, 2024 | 6.22 |
| Jun 29, 2024 | 16.55 |
| Mar 30, 2024 | 4.32 |
| Dec 30, 2023 | 5.14 |
| Sep 30, 2023 | 1.75 |
| Jul 1, 2023 | 12.60 |
| Jan 1, 2022 | 12.72 |
| Apr 3, 2021 | 18.20 |
| Sep 26, 2020 | 5.46 |
| Jun 27, 2020 | 5.75 |
| Mar 28, 2020 | 3.16 |
| Dec 28, 2019 | 13.79 |
| Sep 28, 2019 | 19.37 |
| Jun 29, 2019 | 487.58 |
| Mar 30, 2019 | 10,321.68 |
API Access
Wolverine World Wide EV 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=ev-to-fcf&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-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=ev-to-fcf&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();