Weis Markets (WMK) Total Non-Current Liabilities (2011 - 2026)
Weis Markets (WMK) recorded Total Non-Current Liabilities of $633.05 million in Q2 2026, up 5.8% from $598.6 million a year earlier and up 0.3% from the prior quarter.
Weis Markets (WMK) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Weis Markets reported Total Non-Current Liabilities of $650.3 million, up 3.0% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $631.29 million in FY2024 (-0.9%), $637.07 million in FY2023 (+0.9%), $631.62 million in FY2022 (-5.4%) and $667.33 million in FY2021 (+2.0%).
- Quarterly Total Non-Current Liabilities has ranged from $552.96 million in Q3 2023 to $667.33 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 12.6% in Q3 2024, against a decline of 13.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $631.15 million (Q1 2026), $650.3 million (Q4 2025) and $644.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 50.28 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 15.21 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 41.67 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 4.92 Bn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 10.31 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 9.44 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 9.36 Bn |
| 10 | Weis Markets | 1.86 Bn | 1.06 Bn | 328.40 Mn | 626.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 626.18 Mn |
| Mar 28, 2026 | 626.52 Mn |
| Dec 27, 2025 | 645.42 Mn |
| Sep 27, 2025 | 640.11 Mn |
| Jun 28, 2025 | 594.83 Mn |
| Mar 29, 2025 | 590.36 Mn |
| Dec 28, 2024 | 616.24 Mn |
| Sep 28, 2024 | 607.94 Mn |
| Jun 29, 2024 | 611.65 Mn |
| Mar 30, 2024 | 609.50 Mn |
| Dec 30, 2023 | 627.20 Mn |
| Sep 30, 2023 | 544.39 Mn |
| Jul 1, 2023 | 597.89 Mn |
| Apr 1, 2023 | 595.70 Mn |
| Dec 31, 2022 | 622.29 Mn |
| Sep 24, 2022 | 627.54 Mn |
| Jun 25, 2022 | 634.47 Mn |
| Mar 26, 2022 | 631.54 Mn |
| Dec 25, 2021 | 651.92 Mn |
| Sep 25, 2021 | 631.90 Mn |
Weis Markets Total Non-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-non-current-liabilities&ticker=WMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();