Weis Markets (WMK) Revenue (2010 - 2026)
Weis Markets (WMK) recorded Revenue of $1.28 billion in Q2 2026, up 4.6% from $1.22 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Weis Markets (WMK) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Weis Markets' Revenue came in at $5.07 billion as of Jun 27, 2026, up 4.7% year-over-year; for FY2025, it came in at $4.96 billion, up 3.5% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $4.79 billion in FY2024 (+1.6%), $4.71 billion in FY2023 (unchanged), $4.71 billion in FY2022 (+11.6%) and $4.22 billion in FY2021 (+2.7%).
- Quarterly Revenue has ranged from $1.06 billion in Q3 2021 to $1.32 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Revenue has increased for ten consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 19.6% in Q4 2022, against a decline of 7.1% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.26 billion (Q1 2026), $1.3 billion (Q4 2025) and $1.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 70.53 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 4.54 Bn |
| 10 | Weis Markets | 1.80 Bn | 1.00 Bn | 328.40 Mn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.28 Bn |
| Mar 28, 2026 | 1.26 Bn |
| Dec 27, 2025 | 1.30 Bn |
| Sep 27, 2025 | 1.24 Bn |
| Jun 28, 2025 | 1.22 Bn |
| Mar 29, 2025 | 1.20 Bn |
| Dec 28, 2024 | 1.23 Bn |
| Sep 28, 2024 | 1.19 Bn |
| Jun 29, 2024 | 1.19 Bn |
| Mar 30, 2024 | 1.18 Bn |
| Dec 30, 2023 | 1.23 Bn |
| Sep 30, 2023 | 1.16 Bn |
| Jul 1, 2023 | 1.18 Bn |
| Apr 1, 2023 | 1.14 Bn |
| Dec 31, 2022 | 1.32 Bn |
| Sep 24, 2022 | 1.15 Bn |
| Jun 25, 2022 | 1.14 Bn |
| Mar 26, 2022 | 1.10 Bn |
| Dec 25, 2021 | 1.11 Bn |
| Sep 25, 2021 | 1.06 Bn |
API Access
Weis Markets Revenue 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=revenue&ticker=WMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();