Weis Markets (WMK) Tax Provisions (2010 - 2026)
Weis Markets' Tax Provisions was $7.8 million in Q2 2026, down 3.6% from $8.09 million a year earlier and down 18.1% from the prior quarter.
Weis Markets (WMK) Tax Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Weis Markets' Tax Provisions was $32.5 million through Jun 27, 2026, down 10.6% year-over-year; for FY2025, it came in at $30.26 million, down 22.3% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $38.92 million in FY2024 (-6.9%), $41.8 million in FY2023 (+17.5%), $35.58 million in FY2022 (-9.8%) and $39.46 million in FY2021 (-11.8%).
- Quarterly Tax Provisions has moved between $4.73 million (Q3 2022) and $13.19 million (Q2 2022) over five years.
- Compared with a year earlier, Tax Provisions was higher in three of the last eight quarters, with an average decline of 4.8%.
- The best year-over-year quarter for Tax Provisions over five years was Q3 2023 (growth of 82.4%); the worst was Q3 2022 (a decline of 55.7%).
- Per Business Quant data, WMK's Tax Provisions in the three quarters before Q2 2026 was $9.52 million (Q1 2026), $9.8 million (Q4 2025) and $5.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 944.30 Bn | 900.73 Bn | 49.13 Bn | 1.48 Bn |
| 2 | Costco Wholesale | 442.04 Bn | 365.32 Bn | 12.19 Bn | 1.01 Bn |
| 3 | Sysco | 39.13 Bn | 33.38 Bn | 4.13 Bn | 169.00 Mn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 29.40 Bn | 24.07 Bn | 3.68 Bn | 175.97 Mn |
| 6 | Caseys General Stores | 25.66 Bn | 23.65 Bn | 1.24 Bn | 73.31 Mn |
| 7 | Dollar Tree | 23.48 Bn | 20.11 Bn | 2.10 Bn | 171.90 Mn |
| 8 | US Foods Holding | 22.05 Bn | 21.85 Bn | 1.92 Bn | 94.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.36 Bn | 1.68 Bn | 89.30 Mn |
| 10 | Weis Markets | 1.84 Bn | 1.04 Bn | 328.40 Mn | 7.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.80 Mn |
| Mar 28, 2026 | 9.52 Mn |
| Dec 27, 2025 | 9.80 Mn |
| Sep 27, 2025 | 5.37 Mn |
| Jun 28, 2025 | 8.09 Mn |
| Mar 29, 2025 | 6.99 Mn |
| Dec 28, 2024 | 11.80 Mn |
| Sep 28, 2024 | 9.47 Mn |
| Jun 29, 2024 | 9.58 Mn |
| Mar 30, 2024 | 8.08 Mn |
| Dec 30, 2023 | 10.87 Mn |
| Sep 30, 2023 | 8.63 Mn |
| Jul 1, 2023 | 12.95 Mn |
| Apr 1, 2023 | 9.34 Mn |
| Dec 31, 2022 | 7.01 Mn |
| Sep 24, 2022 | 4.73 Mn |
| Jun 25, 2022 | 13.19 Mn |
| Mar 26, 2022 | 10.65 Mn |
| Dec 25, 2021 | 7.98 Mn |
| Sep 25, 2021 | 10.67 Mn |
Weis Markets Tax Provisions 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=tax-provisions&ticker=WMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();