Weis Markets (WMK) Cash & Equivalents (2010 - 2026)
Weis Markets (WMK) reported Cash & Equivalents of $103.53 million for Q2 2026, up 67.2% from $61.91 million a year earlier and up 5.9% from the prior quarter.
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Analysis
Weis Markets (WMK) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Weis Markets posted Cash & Equivalents of $117.09 million, down 38.5% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $190.32 million in FY2024 (+3.3%), $184.22 million in FY2023 (+16.6%), $158 million in FY2022 (+83.6%) and $86.05 million in FY2021 (-37.0%).
- Five-year quarterly Cash & Equivalents spans a low of $54.65 million in Q3 2025 and a high of $190.32 million in Q4 2024.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with growth averaging 2.6%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2024 (growth of 132.9%); the low point was Q3 2025 (a decline of 63.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $97.72 million (Q1 2026), $117.09 million (Q4 2025) and $54.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Weis Markets | 1.83 Bn | 1.03 Bn | 328.40 Mn | 103.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 103.53 Mn |
| Mar 28, 2026 | 97.72 Mn |
| Dec 27, 2025 | 117.09 Mn |
| Sep 27, 2025 | 54.65 Mn |
| Jun 28, 2025 | 61.91 Mn |
| Mar 29, 2025 | 167.93 Mn |
| Dec 28, 2024 | 190.32 Mn |
| Sep 28, 2024 | 149.76 Mn |
| Jun 29, 2024 | 163.50 Mn |
| Mar 30, 2024 | 136.18 Mn |
| Dec 30, 2023 | 184.22 Mn |
| Sep 30, 2023 | 64.29 Mn |
| Jul 1, 2023 | 139.34 Mn |
| Apr 1, 2023 | 113.58 Mn |
| Dec 31, 2022 | 158.00 Mn |
| Sep 24, 2022 | 144.60 Mn |
| Jun 25, 2022 | 70.68 Mn |
| Mar 26, 2022 | 93.09 Mn |
| Dec 25, 2021 | 86.05 Mn |
| Sep 25, 2021 | 172.57 Mn |
API Access
Weis Markets 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=WMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();