Weyco (WEYS) EBIT (2010 - 2026)
Weyco's EBIT was $17.02 million in Q2 2026, up 337.2% from $3.89 million a year earlier and up 126.8% from the prior quarter.
Weyco (WEYS) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Weyco's EBIT was $42.77 million through Jun 30, 2026, up 31.1% year-over-year; for FY2025, it came in at $29.17 million, down 20.3% from FY2024.
- In earlier years, EBIT was $36.61 million in FY2024 (-10.7%), $41.02 million in FY2023 (+1.6%), $40.37 million in FY2022 (+57.1%) and $25.7 million in FY2021.
- The Q2 2026 figure marks the highest quarterly EBIT in data going back to Q2 2010.
- Compared with a year earlier, EBIT was higher in three of the last eight quarters, with growth averaging 29.7%.
- The best year-over-year quarter for EBIT over five years was Q2 2026 (growth of 337.2%); the worst was Q2 2025 (a decline of 41.6%).
- Per Business Quant data, WEYS's EBIT in the three quarters before Q2 2026 was $7.5 million (Q1 2026), $10.19 million (Q4 2025) and $8.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.31 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 175.90 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 236.02 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 285.68 Mn |
| 10 | Weyco | 450.23 Mn | 92.91 Mn | 43.78 Mn | 17.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.02 Mn |
| Mar 31, 2026 | 7.50 Mn |
| Dec 31, 2025 | 10.19 Mn |
| Sep 30, 2025 | 8.06 Mn |
| Jun 30, 2025 | 3.89 Mn |
| Mar 31, 2025 | 7.03 Mn |
| Dec 31, 2024 | 11.54 Mn |
| Sep 30, 2024 | 10.16 Mn |
| Jun 30, 2024 | 6.66 Mn |
| Mar 31, 2024 | 8.25 Mn |
| Dec 31, 2023 | 11.51 Mn |
| Sep 30, 2023 | 12.43 Mn |
| Jun 30, 2023 | 6.70 Mn |
| Mar 31, 2023 | 10.39 Mn |
| Dec 31, 2022 | 15.06 Mn |
| Sep 30, 2022 | 14.21 Mn |
| Jun 30, 2022 | 5.67 Mn |
| Mar 31, 2022 | 5.43 Mn |
| Dec 31, 2021 | 12.78 Mn |
| Sep 30, 2021 | 6.75 Mn |
Weyco EBIT 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=ebit&ticker=WEYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();