Widepoint (WYY) Buildings (2017)
Widepoint's Buildings was $282,200 in Q2 2017.
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Analysis
Widepoint (WYY) Buildings (2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn |
| 10 | Widepoint | 72.46 Mn | 29.05 Mn | 5.85 Mn |
API Access
Widepoint 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=WYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "WYY", "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=WYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();