Weis Markets (WMK) Consolidated Net Income (2010 - 2026)
Weis Markets (WMK) reported Consolidated Net Income of $22.86 million for Q2 2026, down 9.6% from $25.28 million a year earlier and down 17.9% from the prior quarter.
Weis Markets (WMK) Consolidated Net Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Weis Markets' Consolidated Net Income came in at $99.57 million, down 3.4% year-over-year; for FY2025, it came in at $93.69 million, down 11.6% from FY2024.
- Consolidated Net Income has a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- By year, Consolidated Net Income came in at $106.02 million in FY2024 (+5.1%), $100.85 million in FY2023 (-19.4%), $125.2 million in FY2022 (+15.0%) and $108.85 million in FY2021 (-8.5%).
- Five-year quarterly Consolidated Net Income spans a low of $16.9 million in Q3 2025 and a high of $36.27 million in Q2 2022.
- Year over year, Consolidated Net Income gained in three of the last eight quarters, with growth averaging 10.1%.
- The high point for year-over-year Consolidated Net Income in five years was Q4 2024 (growth of 92.0%); the low point was Q4 2023 (a decline of 39.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.85 million (Q1 2026), $31.96 million (Q4 2025) and $16.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 6.53 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 2.19 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 551.00 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 642.00 Mn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 550.32 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 273.72 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 514.50 Mn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 275.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 360.72 Mn |
| 10 | Weis Markets | 1.83 Bn | 1.03 Bn | 328.40 Mn | 22.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 22.86 Mn |
| Mar 28, 2026 | 27.85 Mn |
| Dec 27, 2025 | 31.96 Mn |
| Sep 27, 2025 | 16.90 Mn |
| Jun 28, 2025 | 25.28 Mn |
| Mar 29, 2025 | 19.55 Mn |
| Dec 28, 2024 | 33.70 Mn |
| Sep 28, 2024 | 24.51 Mn |
| Jun 29, 2024 | 25.41 Mn |
| Mar 30, 2024 | 22.41 Mn |
| Dec 30, 2023 | 17.55 Mn |
| Sep 30, 2023 | 23.23 Mn |
| Jul 1, 2023 | 34.27 Mn |
| Apr 1, 2023 | 25.81 Mn |
| Dec 31, 2022 | 28.88 Mn |
| Sep 24, 2022 | 28.66 Mn |
| Jun 25, 2022 | 36.27 Mn |
| Mar 26, 2022 | 31.39 Mn |
| Dec 25, 2021 | 22.62 Mn |
| Sep 25, 2021 | 28.51 Mn |
Weis Markets Consolidated Net Income 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=consolidated-net-income&ticker=WMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();