Weis Markets (WMK) Inventory (2010 - 2026)
Weis Markets (WMK) reported Inventory of $296.9 million for Q2 2026, unchanged from $296.79 million a year earlier and down 0.6% from the prior quarter.
Weis Markets (WMK) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Weis Markets posted Inventory of $287.53 million, down 1.5% from FY2024.
- Inventory has a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- By year, Inventory came in at $292.04 million in FY2024 (+2.6%), $284.63 million in FY2023 (-0.4%), $285.79 million in FY2022 (+6.0%) and $269.59 million in FY2021 (+0.2%).
- Five-year quarterly Inventory spans a low of $257.86 million in Q3 2021 and a high of $307.8 million in Q1 2023.
- Year over year, Inventory gained in five of the last eight quarters, with growth averaging 0.2%.
- The high point for year-over-year Inventory in five years was Q3 2022 (growth of 16.4%); the low point was Q1 2024 (a decline of 3.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $298.68 million (Q1 2026), $287.53 million (Q4 2025) and $301.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 950.42 Bn | 906.86 Bn | 49.13 Bn | 61.60 Bn |
| 2 | Costco Wholesale | 443.14 Bn | 366.42 Bn | 12.19 Bn | 19.32 Bn |
| 3 | Sysco | 39.46 Bn | 33.70 Bn | 4.13 Bn | - |
| 4 | Kroger | 39.06 Bn | 25.21 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.97 Bn | 24.65 Bn | 3.68 Bn | 6.55 Bn |
| 6 | Caseys General Stores | 26.18 Bn | 24.18 Bn | 1.24 Bn | 557.97 Mn |
| 7 | Dollar Tree | 24.09 Bn | 20.71 Bn | 2.10 Bn | 2.45 Bn |
| 8 | US Foods Holding | 22.24 Bn | 22.04 Bn | 1.92 Bn | 1.70 Bn |
| 9 | Tractor Supply | 17.34 Bn | 16.50 Bn | 1.68 Bn | 3.52 Bn |
| 10 | Weis Markets | 1.85 Bn | 1.05 Bn | 328.40 Mn | 296.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 296.90 Mn |
| Mar 28, 2026 | 298.68 Mn |
| Dec 27, 2025 | 287.53 Mn |
| Sep 27, 2025 | 301.75 Mn |
| Jun 28, 2025 | 296.79 Mn |
| Mar 29, 2025 | 296.19 Mn |
| Dec 28, 2024 | 292.04 Mn |
| Sep 28, 2024 | 304.33 Mn |
| Jun 29, 2024 | 296.52 Mn |
| Mar 30, 2024 | 295.76 Mn |
| Dec 30, 2023 | 284.63 Mn |
| Sep 30, 2023 | 303.72 Mn |
| Jul 1, 2023 | 295.03 Mn |
| Apr 1, 2023 | 307.80 Mn |
| Dec 31, 2022 | 285.79 Mn |
| Sep 24, 2022 | 300.09 Mn |
| Jun 25, 2022 | 303.42 Mn |
| Mar 26, 2022 | 285.36 Mn |
| Dec 25, 2021 | 269.59 Mn |
| Sep 25, 2021 | 257.86 Mn |
Weis Markets Inventory 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=inventory&ticker=WMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();