Wolverine World Wide (WWW) EV to EBITDA (2011 - 2026)
Wolverine World Wide's EV to EBITDA was 7.38 in Q4 2026, down 43.8% from the prior quarter.
Analysis
Wolverine World Wide (WWW) EV to EBITDA (2011 - 2026) Analysis & Trends
For FY2026, EV to EBITDA at Wolverine World Wide came in at 7.32.
- In earlier years, EV to EBITDA was 13.45 in FY2024.
- Quarterly EV to EBITDA has moved between 6.95 (Q1 2026) and 17.91 (Q1 2022) over five years.
- Per Business Quant data, WWW's EV to EBITDA in the three quarters before Q4 2026 was 13.13 (Q3 2026), 8.70 (Q2 2026) and 6.95 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | Wolverine World Wide | 1.58 Bn | 958.46 Mn | 235.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 7.38 |
| Sep 27, 2025 | 13.13 |
| Jun 28, 2025 | 8.70 |
| Mar 29, 2025 | 6.95 |
| Dec 28, 2024 | 13.34 |
| Oct 1, 2022 | 2.96 |
| Jul 2, 2022 | 3.91 |
| Apr 2, 2022 | 6.84 |
| Jan 1, 2022 | 9.61 |
| Apr 3, 2021 | 17.91 |
| Sep 26, 2020 | 18.99 |
| Jun 27, 2020 | 11.20 |
| Mar 28, 2020 | 4.64 |
| Dec 28, 2019 | 12.74 |
| Sep 28, 2019 | 8.30 |
| Jun 29, 2019 | 8.57 |
| Mar 30, 2019 | 11.31 |
| Dec 29, 2018 | 9.98 |
| Sep 29, 2018 | 21.96 |
| Jun 30, 2018 | 22.82 |
API Access
Wolverine World Wide EV to EBITDA 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-ebitda&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();