Weyco (WEYS) EBITDA (2010 - 2026)
Weyco (WEYS) recorded EBITDA of $17.68 million in Q2 2026, up 276.6% from $4.7 million a year earlier and up 114.7% from the prior quarter.
Weyco (WEYS) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Weyco's EBITDA came in at $45.85 million as of Jun 30, 2026, up 29.6% year-over-year; for FY2025, it was $32.32 million, down 17.9% from FY2024.
- Across earlier years, EBITDA came in at $39.36 million in FY2024 (-10.3%), $43.87 million in FY2023 (+1.7%), $43.13 million in FY2022 (+51.3%) and $28.5 million in FY2021.
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA rose in two of the last eight quarters, with growth averaging 23.4%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 276.6% in Q2 2026, against a decline of 36.4% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.24 million (Q1 2026), $11.08 million (Q4 2025) and $8.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 179.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 244.22 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 244.59 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 305.72 Mn |
| 10 | Weyco | 450.23 Mn | 92.91 Mn | 43.78 Mn | 17.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.68 Mn |
| Mar 31, 2026 | 8.24 Mn |
| Dec 31, 2025 | 11.08 Mn |
| Sep 30, 2025 | 8.84 Mn |
| Jun 30, 2025 | 4.70 Mn |
| Mar 31, 2025 | 7.69 Mn |
| Dec 31, 2024 | 12.04 Mn |
| Sep 30, 2024 | 10.94 Mn |
| Jun 30, 2024 | 7.38 Mn |
| Mar 31, 2024 | 9.00 Mn |
| Dec 31, 2023 | 12.22 Mn |
| Sep 30, 2023 | 13.15 Mn |
| Jun 30, 2023 | 7.40 Mn |
| Mar 31, 2023 | 11.10 Mn |
| Dec 31, 2022 | 15.78 Mn |
| Sep 30, 2022 | 14.90 Mn |
| Jun 30, 2022 | 6.35 Mn |
| Mar 31, 2022 | 6.11 Mn |
| Dec 31, 2021 | 13.47 Mn |
| Sep 30, 2021 | 7.50 Mn |
Weyco EBITDA 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=ebitda&ticker=WEYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();