Weis Markets (WMK) Accumulated Expenses (2010 - 2026)
Weis Markets (WMK) recorded Accumulated Expenses of $30.09 million in Q2 2026, down 18.5% from $36.93 million a year earlier but up 17.3% from the prior quarter.
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Analysis
Weis Markets (WMK) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Weis Markets reported Accumulated Expenses of $41.46 million, up 21.2% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $34.2 million in FY2024 (-19.9%), $42.68 million in FY2023 (-25.7%), $57.43 million in FY2022 (+18.0%) and $48.65 million in FY2021 (-3.8%).
- Quarterly Accumulated Expenses has ranged from $24.96 million in Q1 2024 to $57.43 million in Q4 2022 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in four of the last eight quarters, with growth averaging 3.9%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 51.0% in Q1 2025, against a decline of 33.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $25.66 million (Q1 2026), $41.46 million (Q4 2025) and $39.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 960.94 Bn | 923.64 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 451.34 Bn | 374.62 Bn | 12.19 Bn |
| 3 | Sysco | 40.22 Bn | 34.47 Bn | 4.13 Bn |
| 4 | Kroger | 40.09 Bn | 26.25 Bn | 7.86 Bn |
| 5 | Dollar General | 30.69 Bn | 25.37 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.38 Bn | 24.37 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.59 Bn | 21.21 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.53 Bn | 22.33 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.12 Bn | 17.29 Bn | 1.68 Bn |
| 10 | Weis Markets | 1.99 Bn | 1.19 Bn | 328.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 45.88 Mn |
| Mar 28, 2026 | 41.97 Mn |
| Dec 27, 2025 | 61.64 Mn |
| Sep 27, 2025 | 59.11 Mn |
| Jun 28, 2025 | 55.13 Mn |
| Mar 29, 2025 | 56.97 Mn |
| Dec 28, 2024 | 53.93 Mn |
| Sep 28, 2024 | 54.57 Mn |
| Jun 29, 2024 | 50.15 Mn |
| Mar 30, 2024 | 44.08 Mn |
| Dec 30, 2023 | 61.03 Mn |
| Sep 30, 2023 | 55.15 Mn |
| Jul 1, 2023 | 51.65 Mn |
| Apr 1, 2023 | 50.86 Mn |
| Dec 31, 2022 | 76.85 Mn |
| Sep 24, 2022 | 71.28 Mn |
| Jun 25, 2022 | 66.15 Mn |
| Mar 26, 2022 | 68.04 Mn |
| Dec 25, 2021 | 67.22 Mn |
| Sep 25, 2021 | 66.61 Mn |
API Access
Weis Markets Accumulated 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=accumulated-expenses&ticker=WMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();