Weyco (WEYS) Enterprise Value (2010 - 2026)
Weyco's Enterprise Value came in at $280.17 million for Q2 2026, up 17.8% from $237.79 million a year earlier and up 30.5% from the prior quarter.
Weyco (WEYS) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Weyco reported Enterprise Value of $18.31 million, up 3.2% year-over-year; for FY2025, it came in at $194.16 million, down 33.1% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $290.27 million in FY2024 (+27.1%), $228.29 million in FY2023 (+23.7%), $184.54 million in FY2022 (-13.2%) and $212.5 million in FY2021 (+76.4%).
- The Q2 2026 figure represents the highest quarterly Enterprise Value since Q4 2024.
- Year-over-year, Enterprise Value increased in four of the last eight quarters, with growth averaging 3.5%.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2021 (growth of 76.4%), and the weakest in Q4 2025 (a decline of 33.1%).
- Business Quant data shows WEYS's Enterprise Value at $214.74 million (Q1 2026), $194.16 million (Q4 2025) and $213.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Weyco | 450.23 Mn | 92.91 Mn | 43.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 280.17 Mn |
| Mar 31, 2026 | 214.74 Mn |
| Dec 31, 2025 | 194.16 Mn |
| Sep 30, 2025 | 213.65 Mn |
| Jun 30, 2025 | 237.79 Mn |
| Mar 31, 2025 | 219.56 Mn |
| Dec 31, 2024 | 290.27 Mn |
| Sep 30, 2024 | 249.58 Mn |
| Jun 30, 2024 | 209.35 Mn |
| Mar 31, 2024 | 224.51 Mn |
| Dec 31, 2023 | 228.29 Mn |
| Sep 30, 2023 | 206.27 Mn |
| Jun 30, 2023 | 231.05 Mn |
| Mar 31, 2023 | 216.92 Mn |
| Dec 31, 2022 | 184.54 Mn |
| Sep 30, 2022 | 185.17 Mn |
| Jun 30, 2022 | 226.17 Mn |
| Mar 31, 2022 | 213.32 Mn |
| Dec 31, 2021 | 212.50 Mn |
| Sep 30, 2021 | 201.34 Mn |
Weyco Enterprise Value 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=enterprise-value&ticker=WEYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();