Weyco (WEYS) Other Accumulated Expenses (2010 - 2025)
Weyco's Other Accumulated Expenses came in at $2.93 million for Q4 2025, down 6.8% from $3.15 million a year earlier.
Analysis
Weyco (WEYS) Other Accumulated Expenses (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Weyco's Other Accumulated Expenses data covers 16 quarters.
- Other Accumulated Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -6.2% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $3.15 million in FY2024 (-17.9%), $3.83 million in FY2023 (-26.0%), $5.18 million in FY2022 (+84.4%) and $2.81 million in FY2021 (-30.4%).
- The Q4 2025 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Weyco | 486.05 Mn | 128.72 Mn | 43.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.93 Mn |
| Dec 31, 2024 | 3.15 Mn |
| Dec 31, 2023 | 3.83 Mn |
| Dec 31, 2022 | 5.18 Mn |
| Dec 31, 2021 | 2.81 Mn |
| Dec 31, 2020 | 4.04 Mn |
| Dec 31, 2019 | 2.94 Mn |
| Dec 31, 2018 | 3.57 Mn |
| Dec 31, 2017 | 3.13 Mn |
| Dec 31, 2016 | 2.89 Mn |
| Dec 31, 2015 | 13.24 Mn |
| Dec 31, 2014 | 8.37 Mn |
| Dec 31, 2013 | 6.57 Mn |
| Dec 31, 2012 | 9.51 Mn |
| Dec 31, 2011 | 8.89 Mn |
| Dec 31, 2010 | 6.23 Mn |
API Access
Weyco Other Accumulated Expenses 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=other-accumulated-expenses&ticker=WEYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();