Weis Markets (WMK) Selling, General & Administrative (2010 - 2026)
Weis Markets' Selling, General & Administrative came in at $299.29 million for Q2 2026, up 8.3% from $276.43 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Weis Markets (WMK) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Weis Markets reported Selling, General & Administrative of $1.17 billion, up 7.0% year-over-year; for FY2025, it was $1.13 billion, up 5.0% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $1.07 billion in FY2024 (+2.9%), $1.04 billion in FY2023 (-0.1%), $1.04 billion in FY2022 (+7.6%) and $969 million in FY2021 (+3.4%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- Year-over-year, Selling, General & Administrative has increased for six consecutive quarters, with growth averaging 4.5% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2022 (growth of 15.5%), and the weakest in Q4 2023 (a decline of 4.5%).
- Business Quant data shows WMK's Selling, General & Administrative at $294.55 million (Q1 2026), $287 million (Q4 2025) and $286.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Weis Markets | 1.83 Bn | 1.03 Bn | 328.40 Mn | 299.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 299.29 Mn |
| Mar 28, 2026 | 294.55 Mn |
| Dec 27, 2025 | 287.00 Mn |
| Sep 27, 2025 | 286.31 Mn |
| Jun 28, 2025 | 276.43 Mn |
| Mar 29, 2025 | 276.47 Mn |
| Dec 28, 2024 | 272.72 Mn |
| Sep 28, 2024 | 265.46 Mn |
| Jun 29, 2024 | 266.54 Mn |
| Mar 30, 2024 | 267.65 Mn |
| Dec 30, 2023 | 279.73 Mn |
| Sep 30, 2023 | 256.05 Mn |
| Jul 1, 2023 | 253.42 Mn |
| Apr 1, 2023 | 253.17 Mn |
| Dec 31, 2022 | 292.84 Mn |
| Sep 24, 2022 | 253.99 Mn |
| Jun 25, 2022 | 243.81 Mn |
| Mar 26, 2022 | 252.27 Mn |
| Dec 25, 2021 | 253.64 Mn |
| Sep 25, 2021 | 244.16 Mn |
API Access
Weis Markets Selling, General & Administrative 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=selling-general-and-administrative&ticker=WMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();