Weis Markets (WMK) Cash from Operations (2010 - 2026)
Weis Markets (WMK) reported Cash from Operations of $65.05 million for Q2 2026, up 15.0% from $56.56 million a year earlier and up 115.1% from the prior quarter.
Weis Markets (WMK) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Weis Markets' Cash from Operations came in at $241.09 million, up 38.2% year-over-year; for FY2025, it was $207.21 million, up 10.5% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- By year, Cash from Operations came in at $187.47 million in FY2024 (-7.0%), $201.6 million in FY2023 (-7.5%), $218.02 million in FY2022 (-4.3%) and $227.71 million in FY2021 (-18.1%).
- Five-year quarterly Cash from Operations spans a low of -$37.31 million in Q3 2023 and a high of $158.48 million in Q4 2023.
- Year over year, Cash from Operations gained in four of the last seven quarters, with growth averaging 82.3%.
- The high point for year-over-year Cash from Operations in five years was Q1 2026 (growth of 522.9%); the low point was Q1 2025 (a decline of 85.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $30.25 million (Q1 2026), $86.59 million (Q4 2025) and $59.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 14.97 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 3.45 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 1.18 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 780.52 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 384.07 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 921.50 Mn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 431.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 562.02 Mn |
| 10 | Weis Markets | 1.83 Bn | 1.03 Bn | 328.40 Mn | 65.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 65.05 Mn |
| Mar 28, 2026 | 30.25 Mn |
| Dec 27, 2025 | 86.59 Mn |
| Sep 27, 2025 | 59.20 Mn |
| Jun 28, 2025 | 56.56 Mn |
| Mar 29, 2025 | 4.86 Mn |
| Dec 28, 2024 | 87.14 Mn |
| Sep 28, 2024 | 25.83 Mn |
| Jun 29, 2024 | 40.26 Mn |
| Mar 30, 2024 | 34.24 Mn |
| Dec 30, 2023 | 158.48 Mn |
| Sep 30, 2023 | -37.31 Mn |
| Jul 1, 2023 | 72.49 Mn |
| Apr 1, 2023 | 7.94 Mn |
| Dec 31, 2022 | 75.71 Mn |
| Sep 24, 2022 | 57.92 Mn |
| Jun 25, 2022 | 49.91 Mn |
| Mar 26, 2022 | 34.48 Mn |
| Dec 25, 2021 | 45.60 Mn |
| Sep 25, 2021 | 82.26 Mn |
Weis Markets Cash from Operations 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-from-operations&ticker=WMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();