Weyco (WEYS) Retained Earnings (2010 - 2026)
Weyco (WEYS) recorded Retained Earnings of $184.08 million in Q2 2026, up 1.7% from $180.98 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Weyco (WEYS) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Weyco reported Retained Earnings of $169.92 million, down 6.3% from FY2024.
- Annual Retained Earnings has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $181.3 million in FY2024 (+0.4%), $180.65 million in FY2023 (+10.1%), $164.04 million in FY2022 (+11.0%) and $147.76 million in FY2021 (+6.3%).
- The Q2 2026 figure is the highest quarterly Retained Earnings since Q3 2024.
- On a year-over-year basis, Retained Earnings rose in three of the last eight quarters, with an average decline of 1.1%.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 13.6% in Q2 2023, against a decline of 6.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $173.44 million (Q1 2026), $169.92 million (Q4 2025) and $184.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.60 Bn | 21.80 Bn | 4.80 Bn | -56.00 Mn |
| 2 | Tapestry | 23.83 Bn | 19.79 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 22.92 Bn | 15.01 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 12.26 Bn | 5.13 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 10.94 Bn | 5.19 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 1.96 Bn |
| 7 | V F | 6.75 Bn | 3.37 Bn | 917.04 Mn | -1.04 Bn |
| 8 | Gildan Activewear | 6.51 Bn | 5.43 Bn | 459.76 Mn | 902.37 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 1.15 Bn |
| 10 | Weyco | 478.60 Mn | 121.27 Mn | 43.78 Mn | 184.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.08 Mn |
| Mar 31, 2026 | 173.44 Mn |
| Dec 31, 2025 | 169.92 Mn |
| Sep 30, 2025 | 184.06 Mn |
| Jun 30, 2025 | 180.98 Mn |
| Mar 31, 2025 | 183.63 Mn |
| Dec 31, 2024 | 181.30 Mn |
| Sep 30, 2024 | 193.11 Mn |
| Jun 30, 2024 | 187.56 Mn |
| Mar 31, 2024 | 184.91 Mn |
| Dec 31, 2023 | 180.65 Mn |
| Sep 30, 2023 | 175.34 Mn |
| Jun 30, 2023 | 169.63 Mn |
| Mar 31, 2023 | 167.72 Mn |
| Dec 31, 2022 | 164.04 Mn |
| Sep 30, 2022 | 157.02 Mn |
| Jun 30, 2022 | 149.26 Mn |
| Mar 31, 2022 | 147.78 Mn |
| Dec 31, 2021 | 147.76 Mn |
| Sep 30, 2021 | 140.71 Mn |
API Access
Weyco Retained Earnings 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=retained-earnings&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();