Weyco (WEYS) Depreciation and Depletion (2009 - 2026)
Weyco (WEYS) posted Depreciation and Depletion of $638,000 for Q2 2026, down 4.9% from $671,000 a year earlier but up 0.8% from the prior quarter.
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Analysis
Weyco (WEYS) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Weyco was $2.69 million, up 8.3% year-over-year; for FY2025, it was $2.62 million, up 5.5% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In prior years, Weyco's Depreciation and Depletion 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%).
- Quarterly Depreciation and Depletion has run from a low of $532,000 in Q1 2025 to a high of $759,000 in Q4 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in four of the last eight quarters, with growth averaging 4.0%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2025, with growth of 19.5%; the weakest was Q3 2021, with a decline of 17.4%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $633,000 (Q1 2026), $759,000 (Q4 2025) and $657,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 57.90 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 | - |
| 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 | 647,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 647,000.00 |
| Jun 30, 2026 | 638,000.00 |
| Mar 31, 2026 | 633,000.00 |
| Dec 31, 2025 | 759,000.00 |
| Sep 30, 2025 | 657,000.00 |
| Jun 30, 2025 | 671,000.00 |
| Mar 31, 2025 | 532,000.00 |
| Dec 31, 2024 | 635,000.00 |
| Sep 30, 2024 | 644,000.00 |
| Jun 30, 2024 | 620,000.00 |
| Mar 31, 2024 | 584,000.00 |
| 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 |
API Access
Weyco Depreciation and Depletion 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-depletion&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();