Weyco (WEYS) Cash & Equivalents (2009 - 2026)
Weyco (WEYS) posted Cash & Equivalents of $93.69 million for Q2 2026, up 21.0% from $77.43 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Weyco (WEYS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Weyco's Cash & Equivalents came in at $96.01 million, up 35.3% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- In prior years, Weyco's Cash & Equivalents was $70.96 million in FY2024 (+2.4%), $69.31 million in FY2023 (+310.7%), $16.88 million in FY2022 (-14.4%) and $19.71 million in FY2021 (-39.3%).
- Quarterly Cash & Equivalents has run from a low of $7.62 million in Q2 2022 to a high of $96.01 million in Q4 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 24.5% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2023, with growth of 310.7%; the weakest was Q2 2022, with a decline of 66.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $89.04 million (Q1 2026), $96.01 million (Q4 2025) and $72.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 599.00 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 1.43 Bn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 1.21 Bn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 641.40 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 442.95 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 163.46 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Weyco | 58.63 Mn | -318.28 Mn | 38.26 Mn | 91.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.16 Mn |
| Jun 30, 2026 | 93.69 Mn |
| Mar 31, 2026 | 89.04 Mn |
| Dec 31, 2025 | 96.01 Mn |
| Sep 30, 2025 | 72.92 Mn |
| Jun 30, 2025 | 77.43 Mn |
| Mar 31, 2025 | 71.55 Mn |
| Dec 31, 2024 | 70.96 Mn |
| Sep 30, 2024 | 75.46 Mn |
| Jun 30, 2024 | 78.41 Mn |
| Mar 31, 2024 | 78.35 Mn |
| Dec 31, 2023 | 69.31 Mn |
| Sep 30, 2023 | 33.40 Mn |
| Jun 30, 2023 | 21.96 Mn |
| Mar 31, 2023 | 22.57 Mn |
| Dec 31, 2022 | 16.88 Mn |
| Sep 30, 2022 | 9.85 Mn |
| Jun 30, 2022 | 7.62 Mn |
| Mar 31, 2022 | 24.15 Mn |
| Dec 31, 2021 | 19.71 Mn |
API Access
Weyco Cash & Equivalents 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=cash-and-equivalents&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();