Weyco (WEYS) Depreciation & Amortization (CF) (2010 - 2026)
Weyco's Depreciation & Amortization (CF) came in at $651,000 for Q2 2026, down 11.7% from $737,000 a year earlier and down 4.7% from the prior quarter.
Weyco (WEYS) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Weyco reported Depreciation & Amortization (CF) of $2.88 million, up 16.2% year-over-year; for FY2025, it was $2.88 million, up 16.0% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $2.48 million in FY2024 (-3.7%), $2.58 million in FY2023 (+3.8%), $2.49 million in FY2022 (-0.2%) and $2.49 million in FY2021 (-14.2%).
- The Q2 2026 figure represents the lowest quarterly Depreciation & Amortization (CF) since Q1 2025.
- Year-over-year, Depreciation & Amortization (CF) increased in five of the last eight quarters, with growth averaging 8.8%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q4 2025 (growth of 89.0%), and the weakest in Q4 2024 (a decline of 32.8%).
- Business Quant data shows WEYS's Depreciation & Amortization (CF) at $683,000 (Q1 2026), $824,000 (Q4 2025) and $723,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 193.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 45.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 58.90 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 142.33 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 57.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 68.32 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 8.57 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 20.05 Mn |
| 10 | Weyco | 462.36 Mn | 105.04 Mn | 43.78 Mn | 651,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 651,000.00 |
| Mar 31, 2026 | 683,000.00 |
| Dec 31, 2025 | 824,000.00 |
| Sep 30, 2025 | 723,000.00 |
| Jun 30, 2025 | 737,000.00 |
| Mar 31, 2025 | 597,000.00 |
| Dec 31, 2024 | 436,000.00 |
| Sep 30, 2024 | 710,000.00 |
| Jun 30, 2024 | 650,000.00 |
| Mar 31, 2024 | 687,000.00 |
| Dec 31, 2023 | 649,000.00 |
| Sep 30, 2023 | 651,000.00 |
| Jun 30, 2023 | 636,000.00 |
| Mar 31, 2023 | 643,000.00 |
| Dec 31, 2022 | 645,000.00 |
| Sep 30, 2022 | 625,000.00 |
| Jun 30, 2022 | 611,000.00 |
| Mar 31, 2022 | 604,000.00 |
| Dec 31, 2021 | 614,000.00 |
| Sep 30, 2021 | 630,000.00 |
Weyco Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=WEYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();