Weyco (WEYS) Amortizatization of Intangibles (2010 - 2026)
Weyco (WEYS) posted Amortizatization of Intangibles of $13,000 for Q2 2026, down 80.3% from $66,000 a year earlier and down 74.0% from the prior quarter.
Weyco (WEYS) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Weyco was $194,000, down 26.0% year-over-year; for FY2025, it was $262,000, down 0.8% from FY2024.
- Annual Amortizatization of Intangibles has declined for five consecutive years, with a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In prior years, Weyco's Amortizatization of Intangibles was $264,000 in FY2024 (-2.6%), $271,000 in FY2023 (-3.9%), $282,000 in FY2022 (-8.1%) and $307,000 in FY2021 (-2.8%).
- The Q2 2026 figure stands as the lowest quarterly Amortizatization of Intangibles since Q3 2019.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q2 2022, with growth of 115.2%; the weakest was Q2 2026, with a decline of 80.3%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $50,000 (Q1 2026), $65,000 (Q4 2025) and $66,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 13.40 Mn |
| 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 | 13,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13,000.00 |
| Mar 31, 2026 | 50,000.00 |
| Dec 31, 2025 | 65,000.00 |
| Sep 30, 2025 | 66,000.00 |
| Jun 30, 2025 | 66,000.00 |
| Mar 31, 2025 | 65,000.00 |
| Dec 31, 2024 | 65,000.00 |
| Sep 30, 2024 | 66,000.00 |
| Jun 30, 2024 | 67,000.00 |
| Mar 31, 2024 | 66,000.00 |
| Dec 31, 2023 | 67,000.00 |
| Sep 30, 2023 | 67,000.00 |
| Jun 30, 2023 | 68,000.00 |
| Mar 31, 2023 | 69,000.00 |
| Dec 31, 2022 | 69,000.00 |
| Sep 30, 2022 | 71,000.00 |
| Jun 30, 2022 | 71,000.00 |
| Mar 31, 2022 | 71,000.00 |
| Dec 31, 2021 | 73,000.00 |
| Sep 30, 2021 | 119,000.00 |
Weyco Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=WEYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();