Weis Markets (WMK) Total Current Liabilities (2010 - 2026)
Weis Markets (WMK) recorded Total Current Liabilities of $333.53 million in Q2 2026, up 1.6% from $328.32 million a year earlier and up 0.9% from the prior quarter.
Weis Markets (WMK) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Weis Markets reported Total Current Liabilities of $352.73 million, up 2.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $343.3 million in FY2024 (+0.7%), $340.78 million in FY2023 (-1.3%), $345.35 million in FY2022 (unchanged) and $345.2 million in FY2021 (-0.3%).
- Quarterly Total Current Liabilities has ranged from $253.79 million in Q3 2023 to $352.73 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 29.1% in Q3 2024, against a decline of 26.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $330.56 million (Q1 2026), $352.73 million (Q4 2025) and $350.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 944.30 Bn | 900.73 Bn | 49.13 Bn | 115.63 Bn |
| 2 | Costco Wholesale | 442.04 Bn | 365.32 Bn | 12.19 Bn | 43.95 Bn |
| 3 | Sysco | 39.13 Bn | 33.38 Bn | 4.13 Bn | 10.52 Bn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn | 18.42 Bn |
| 5 | Dollar General | 29.40 Bn | 24.07 Bn | 3.68 Bn | 7.27 Bn |
| 6 | Caseys General Stores | 25.66 Bn | 23.65 Bn | 1.24 Bn | 1.36 Bn |
| 7 | Dollar Tree | 23.48 Bn | 20.11 Bn | 2.10 Bn | 3.30 Bn |
| 8 | US Foods Holding | 22.05 Bn | 21.85 Bn | 1.92 Bn | 3.91 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.36 Bn | 1.68 Bn | 3.19 Bn |
| 10 | Weis Markets | 1.84 Bn | 1.04 Bn | 328.40 Mn | 333.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 333.53 Mn |
| Mar 28, 2026 | 330.56 Mn |
| Dec 27, 2025 | 352.73 Mn |
| Sep 27, 2025 | 350.71 Mn |
| Jun 28, 2025 | 328.32 Mn |
| Mar 29, 2025 | 325.52 Mn |
| Dec 28, 2024 | 343.30 Mn |
| Sep 28, 2024 | 327.58 Mn |
| Jun 29, 2024 | 319.60 Mn |
| Mar 30, 2024 | 327.05 Mn |
| Dec 30, 2023 | 340.78 Mn |
| Sep 30, 2023 | 253.79 Mn |
| Jul 1, 2023 | 317.57 Mn |
| Apr 1, 2023 | 315.41 Mn |
| Dec 31, 2022 | 345.35 Mn |
| Sep 24, 2022 | 344.68 Mn |
| Jun 25, 2022 | 341.39 Mn |
| Mar 26, 2022 | 328.80 Mn |
| Dec 25, 2021 | 345.20 Mn |
| Sep 25, 2021 | 326.93 Mn |
Weis Markets Total Current Liabilities 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=total-current-liabilities&ticker=WMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();