Weis Markets (WMK) Property, Plant & Equipment (Net) (2010 - 2026)
Weis Markets (WMK) reported Property, Plant & Equipment (Net) of $1.11 billion for Q2 2026, up 6.0% from $1.05 billion a year earlier and up 1.5% from the prior quarter.
Weis Markets (WMK) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Weis Markets posted Property, Plant & Equipment (Net) of $1.09 billion, up 7.8% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $1.01 billion in FY2024 (+5.2%), $961.35 million in FY2023 (-1.0%), $970.91 million in FY2022 (-0.7%) and $977.79 million in FY2021 (+5.8%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last ten quarters, with growth averaging 6.4% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q3 2025 (growth of 9.4%); the low point was Q4 2023 (a decline of 1.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.1 billion (Q1 2026), $1.09 billion (Q4 2025) and $1.08 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 142.48 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 34.29 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 5.97 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 25.27 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 6.62 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 5.88 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 5.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 2.71 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 3.22 Bn |
| 10 | Weis Markets | 1.83 Bn | 1.03 Bn | 328.40 Mn | 1.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.11 Bn |
| Mar 28, 2026 | 1.10 Bn |
| Dec 27, 2025 | 1.09 Bn |
| Sep 27, 2025 | 1.08 Bn |
| Jun 28, 2025 | 1.05 Bn |
| Mar 29, 2025 | 1.02 Bn |
| Dec 28, 2024 | 1.01 Bn |
| Sep 28, 2024 | 983.52 Mn |
| Jun 29, 2024 | 970.64 Mn |
| Mar 30, 2024 | 970.13 Mn |
| Dec 30, 2023 | 961.35 Mn |
| Sep 30, 2023 | 963.30 Mn |
| Jul 1, 2023 | 965.25 Mn |
| Apr 1, 2023 | 961.73 Mn |
| Dec 31, 2022 | 970.91 Mn |
| Sep 24, 2022 | 963.50 Mn |
| Jun 25, 2022 | 962.51 Mn |
| Mar 26, 2022 | 954.52 Mn |
| Dec 25, 2021 | 977.79 Mn |
| Sep 25, 2021 | 956.34 Mn |
Weis Markets Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=WMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();