Wolverine World Wide (WWW) Operating Leases (2019 - 2026)
Wolverine World Wide's Operating Leases came in at $106.8 million for Q2 2027, down 7.7% from $115.7 million a year earlier.
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Analysis
Wolverine World Wide (WWW) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026, Wolverine World Wide's Operating Leases was $105.3 million.
- Operating Leases carries a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- Going back by year, Operating Leases was $116 million in FY2024 (-12.4%), $132.4 million in FY2023 (-13.8%) and $153.6 million in FY2022 (+29.9%).
- The five-year range for quarterly Operating Leases is $105.3 million (Q4 2026) to $117.9 million (Q3 2022).
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 | 106.80 Mn |
| Jan 3, 2026 | 105.30 Mn |
| Sep 27, 2025 | 110.80 Mn |
| Jun 28, 2025 | 115.70 Mn |
| Mar 29, 2025 | 115.20 Mn |
| Dec 28, 2024 | 116.00 Mn |
| Sep 28, 2024 | 122.70 Mn |
| Jun 29, 2024 | 119.80 Mn |
| Mar 30, 2024 | 126.60 Mn |
| Dec 30, 2023 | 132.40 Mn |
| Sep 30, 2023 | 141.30 Mn |
| Jul 1, 2023 | 146.70 Mn |
| Apr 1, 2023 | 150.90 Mn |
| Dec 31, 2022 | 153.60 Mn |
| Oct 1, 2022 | 147.50 Mn |
| Jul 2, 2022 | 150.90 Mn |
| Apr 2, 2022 | 119.30 Mn |
| Jan 1, 2022 | 118.20 Mn |
| Oct 2, 2021 | 117.90 Mn |
| Jul 3, 2021 | 119.30 Mn |
API Access
Wolverine World Wide Operating Leases 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=operating-leases&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();