Weyco (WEYS) Land & Improvements (2011 - 2025)
Weyco's Land & Improvements came in at $3.9 million for Q4 2025, unchanged from $3.9 million a year earlier.
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Analysis
Weyco (WEYS) Land & Improvements (2011 - 2025) Analysis & Trends
Going back to Q4 2011, Weyco's Land & Improvements data covers 15 quarters.
- Land & Improvements carries a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Going back by year, Land & Improvements was $3.9 million in FY2024 (+1.4%), $3.84 million in FY2023 (unchanged), $3.84 million in FY2022 (+1.3%) and $3.79 million in FY2021 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | - |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | - |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 56.70 Mn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | - |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 77.31 Mn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | - |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | - |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | - |
| 10 | Weyco | 58.63 Mn | -318.28 Mn | 38.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.90 Mn |
| Dec 31, 2024 | 3.90 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Dec 31, 2022 | 3.84 Mn |
| Dec 31, 2021 | 3.79 Mn |
| Dec 31, 2020 | 3.79 Mn |
| Dec 31, 2019 | 3.79 Mn |
| Dec 31, 2018 | 3.78 Mn |
| Dec 31, 2017 | 3.78 Mn |
| Dec 31, 2016 | 3.71 Mn |
| Dec 31, 2015 | 3.71 Mn |
| Dec 31, 2014 | 3.71 Mn |
| Dec 31, 2013 | 3.61 Mn |
| Dec 31, 2012 | 3.59 Mn |
| Dec 31, 2011 | 3.40 Mn |
API Access
Weyco Land & Improvements 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=land-and-improvements&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "WEYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();