Weis Markets (WMK) Retained Earnings (2010 - 2026)
Weis Markets (WMK) posted Retained Earnings of $1.67 billion for Q2 2026, up 4.1% from $1.6 billion a year earlier and up 0.9% from the prior quarter.
Weis Markets (WMK) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Weis Markets' Retained Earnings came in at $1.64 billion, up 3.7% from FY2024.
- Annual Retained Earnings has increased for 15 consecutive years, with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior years, Weis Markets' Retained Earnings was $1.58 billion in FY2024 (+4.6%), $1.51 billion in FY2023 (+4.5%), $1.44 billion in FY2022 (+6.2%) and $1.36 billion in FY2021 (+5.9%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased in each of the last 57 quarters, with growth averaging 3.9% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 3.1% (Q3 2025) and 6.4% (Q2 2022) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior quarters was $1.66 billion (Q1 2026), $1.64 billion (Q4 2025) and $1.61 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 939.25 Bn | 895.68 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 441.40 Bn | 364.68 Bn | 12.19 Bn | 28.59 Bn |
| 3 | Sysco | 39.64 Bn | 33.88 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 38.01 Bn | 24.17 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 29.56 Bn | 24.24 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 25.43 Bn | 23.43 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 23.72 Bn | 20.35 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 22.38 Bn | 22.18 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 17.24 Bn | 16.40 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Weis Markets | 1.84 Bn | 1.04 Bn | 328.40 Mn | 1.67 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.67 Bn |
| Mar 28, 2026 | 1.66 Bn |
| Dec 27, 2025 | 1.64 Bn |
| Sep 27, 2025 | 1.61 Bn |
| Jun 28, 2025 | 1.60 Bn |
| Mar 29, 2025 | 1.59 Bn |
| Dec 28, 2024 | 1.58 Bn |
| Sep 28, 2024 | 1.56 Bn |
| Jun 29, 2024 | 1.55 Bn |
| Mar 30, 2024 | 1.53 Bn |
| Dec 30, 2023 | 1.51 Bn |
| Sep 30, 2023 | 1.51 Bn |
| Jul 1, 2023 | 1.49 Bn |
| Apr 1, 2023 | 1.47 Bn |
| Dec 31, 2022 | 1.44 Bn |
| Sep 24, 2022 | 1.43 Bn |
| Jun 25, 2022 | 1.41 Bn |
| Mar 26, 2022 | 1.38 Bn |
| Dec 25, 2021 | 1.36 Bn |
| Sep 25, 2021 | 1.34 Bn |
Weis Markets 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=WMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "WMK", "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=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();