Wenyuan (WYGC) Buildings (2022)
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Analysis
Wenyuan (WYGC) Buildings (2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn |
| 10 | Wenyuan | 5.78 Mn | 5.77 Mn | - |
API Access
Wenyuan Buildings 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=buildings&ticker=WYGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "WYGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=WYGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();