Weis Markets (WMK) EBIT (2010 - 2026)
Weis Markets (WMK) recorded EBIT of $29.11 million in Q2 2026, down 3.7% from $30.24 million a year earlier and down 18.5% from the prior quarter.
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Analysis
Weis Markets (WMK) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Weis Markets' EBIT came in at $126.45 million as of Jun 27, 2026, up 4.7% year-over-year; for FY2025, it was $113.65 million, down 10.1% from FY2024.
- Annual EBIT has declined for three straight years, with a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $126.39 million in FY2024 (-5.1%), $133.14 million in FY2023 (-15.2%), $157.05 million in FY2022 (+7.0%) and $146.71 million in FY2021 (-10.1%).
- Quarterly EBIT has ranged from $20.57 million in Q3 2025 to $48.41 million in Q2 2022 over the past five years.
- On a year-over-year basis, EBIT rose in three of the last eight quarters, with growth averaging 8.7%.
- Peak year-over-year performance for EBIT in the last five years was growth of 64.0% in Q1 2026, against a decline of 31.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $35.7 million (Q1 2026), $41.08 million (Q4 2025) and $20.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 9.38 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 2.82 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 983.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 971.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 769.16 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 485.08 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 690.10 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 443.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 467.12 Mn |
| 10 | Weis Markets | 1.80 Bn | 1.00 Bn | 328.40 Mn | 29.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 29.11 Mn |
| Mar 28, 2026 | 35.70 Mn |
| Dec 27, 2025 | 41.08 Mn |
| Sep 27, 2025 | 20.57 Mn |
| Jun 28, 2025 | 30.24 Mn |
| Mar 29, 2025 | 21.77 Mn |
| Dec 28, 2024 | 40.97 Mn |
| Sep 28, 2024 | 27.75 Mn |
| Jun 29, 2024 | 31.33 Mn |
| Mar 30, 2024 | 26.34 Mn |
| Dec 30, 2023 | 25.23 Mn |
| Sep 30, 2023 | 29.67 Mn |
| Jul 1, 2023 | 45.62 Mn |
| Apr 1, 2023 | 32.62 Mn |
| Dec 31, 2022 | 33.58 Mn |
| Sep 24, 2022 | 33.66 Mn |
| Jun 25, 2022 | 48.41 Mn |
| Mar 26, 2022 | 41.41 Mn |
| Dec 25, 2021 | 30.35 Mn |
| Sep 25, 2021 | 38.97 Mn |
API Access
Weis Markets EBIT 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=ebit&ticker=WMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();