Weis Markets (WMK) Depreciation & Amortization (CF) (2010 - 2026)
Weis Markets (WMK) reported Depreciation & Amortization (CF) of $32.05 million for Q2 2026, up 4.8% from $30.6 million a year earlier and up 1.9% from the prior quarter.
Weis Markets (WMK) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Weis Markets' Depreciation & Amortization (CF) came in at $128.08 million, up 7.9% year-over-year; for FY2025, it came in at $124.79 million, up 9.6% from FY2024.
- Depreciation & Amortization (CF) has increased for 13 consecutive years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $113.88 million in FY2024 (+5.0%), $108.44 million in FY2023 (+4.2%), $104.03 million in FY2022 (+1.2%) and $102.8 million in FY2021 (+3.5%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $25.57 million in Q4 2021 and a high of $32.83 million in Q4 2025.
- Year over year, Depreciation & Amortization (CF) has now increased in each of the last 16 quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q4 2024 (growth of 11.4%); the low point was Q3 2021 (a decline of 0.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.46 million (Q1 2026), $32.83 million (Q4 2025) and $31.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | 3.93 Bn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | 883.00 Mn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | 737.00 Mn |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | 252.00 Mn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | 277.50 Mn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | 115.99 Mn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn | 179.80 Mn |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn | 118.00 Mn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | 130.85 Mn |
| 10 | Weis Markets | 1.98 Bn | 1.18 Bn | 328.40 Mn | 32.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 32.05 Mn |
| Mar 28, 2026 | 31.46 Mn |
| Dec 27, 2025 | 32.83 Mn |
| Sep 27, 2025 | 31.74 Mn |
| Jun 28, 2025 | 30.60 Mn |
| Mar 29, 2025 | 29.62 Mn |
| Dec 28, 2024 | 29.97 Mn |
| Sep 28, 2024 | 28.56 Mn |
| Jun 29, 2024 | 27.91 Mn |
| Mar 30, 2024 | 27.45 Mn |
| Dec 30, 2023 | 26.91 Mn |
| Sep 30, 2023 | 27.43 Mn |
| Jul 1, 2023 | 27.42 Mn |
| Apr 1, 2023 | 26.69 Mn |
| Dec 31, 2022 | 26.42 Mn |
| Sep 24, 2022 | 26.09 Mn |
| Jun 25, 2022 | 25.88 Mn |
| Mar 26, 2022 | 25.63 Mn |
| Dec 25, 2021 | 25.57 Mn |
| Sep 25, 2021 | 25.96 Mn |
Weis Markets Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=WMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();