Weis Markets (WMK) Change in Accured Expenses (2010 - 2026)
Weis Markets' Change in Accured Expenses came in at $8.53 million for Q2 2026, down 29.0% from $12.01 million a year earlier.
Powered by 
Analysis
Weis Markets (WMK) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Weis Markets reported Change in Accured Expenses of $17.92 million; for FY2025, it came in at $2.56 million, down 77.5% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -45.8% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $11.36 million in FY2024 (-13.2%), $13.1 million in FY2023 (+70.2%), $7.7 million in FY2022 and $174,000 in FY2021 (-99.7%).
- The five-year range for quarterly Change in Accured Expenses is -$52.76 million (Q3 2023) to $102.53 million (Q4 2023).
- Year-over-year, Change in Accured Expenses increased in two of the last five quarters, with growth averaging 48.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2023 (growth of 486.0%), and the weakest in Q4 2024 (a decline of 84.5%).
- Business Quant data shows WMK's Change in Accured Expenses at -$24.23 million (Q1 2026), $4.91 million (Q4 2025) and $28.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 953.29 Bn | 909.72 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 445.64 Bn | 368.92 Bn | 12.19 Bn | - |
| 3 | Kroger | 40.41 Bn | 26.56 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.10 Bn | 33.35 Bn | 4.13 Bn | 114.00 Mn |
| 5 | Dollar General | 29.08 Bn | 23.76 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 25.85 Bn | 23.85 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 23.80 Bn | 20.42 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.16 Bn | 21.96 Bn | 1.92 Bn | 5.00 Mn |
| 9 | Tractor Supply | 17.62 Bn | 16.78 Bn | 1.68 Bn | 272.58 Mn |
| 10 | Weis Markets | 1.96 Bn | 1.16 Bn | 328.40 Mn | 8.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 8.53 Mn |
| Mar 28, 2026 | -24.23 Mn |
| Dec 27, 2025 | 4.91 Mn |
| Sep 27, 2025 | 28.71 Mn |
| Jun 28, 2025 | 12.01 Mn |
| Mar 29, 2025 | -43.07 Mn |
| Dec 28, 2024 | 15.91 Mn |
| Sep 28, 2024 | 12.59 Mn |
| Jun 29, 2024 | 3.04 Mn |
| Mar 30, 2024 | -20.18 Mn |
| Dec 30, 2023 | 102.53 Mn |
| Sep 30, 2023 | -52.76 Mn |
| Jul 1, 2023 | 3.51 Mn |
| Apr 1, 2023 | -40.19 Mn |
| Dec 31, 2022 | 17.50 Mn |
| Sep 24, 2022 | 8.99 Mn |
| Jun 25, 2022 | 7.52 Mn |
| Mar 26, 2022 | -26.32 Mn |
| Dec 25, 2021 | 21.04 Mn |
| Sep 25, 2021 | 23.03 Mn |
API Access
Weis Markets Change in Accured Expenses 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=change-in-accured-expenses&ticker=WMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();