Wolverine World Wide (WWW) Pension (2009 - 2026)
Wolverine World Wide (WWW) posted Pension of $54.1 million for Q2 2027, down 22.5% from $69.8 million a year earlier.
Analysis
Wolverine World Wide (WWW) Pension (2009 - 2026) Analysis & Trends
At the end of FY2026, Wolverine World Wide's Pension came in at $56.4 million.
- Annual Pension shows a five-year compound annual growth rate of -12.1% (FY2021 to FY2026).
- In prior years, Wolverine World Wide's Pension was $71.4 million in FY2024 (-8.9%), $78.4 million in FY2023 (+7.5%) and $72.9 million in FY2022 (-32.1%).
- The Q2 2027 figure stands as the lowest quarterly Pension in data going back to Q2 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Wolverine World Wide | 1.57 Bn | 948.61 Mn | 235.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 54.10 Mn |
| Jan 3, 2026 | 56.40 Mn |
| Sep 27, 2025 | 69.00 Mn |
| Jun 28, 2025 | 69.80 Mn |
| Mar 29, 2025 | 70.60 Mn |
| Dec 28, 2024 | 71.40 Mn |
| Sep 28, 2024 | 76.30 Mn |
| Jun 29, 2024 | 77.00 Mn |
| Mar 30, 2024 | 77.70 Mn |
| Dec 30, 2023 | 78.40 Mn |
| Sep 30, 2023 | 71.70 Mn |
| Jul 1, 2023 | 72.10 Mn |
| Apr 1, 2023 | 72.60 Mn |
| Dec 31, 2022 | 72.90 Mn |
| Oct 1, 2022 | 103.00 Mn |
| Jul 2, 2022 | 105.00 Mn |
| Apr 2, 2022 | 106.20 Mn |
| Jan 1, 2022 | 107.40 Mn |
| Oct 2, 2021 | 145.30 Mn |
| Jul 3, 2021 | 145.90 Mn |
API Access
Wolverine World Wide Pension 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=pension&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();