Weis Markets (WMK) Other non-cash items (2016)
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Analysis
Weis Markets (WMK) Other non-cash items (2016) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn |
| 10 | Weis Markets | 1.98 Bn | 1.18 Bn | 328.40 Mn |
API Access
Weis Markets Other non-cash items 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=other-non-cash-items&ticker=WMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();