Taoping (TAOP) Buildings (2018)
Taoping (TAOP) reported Buildings of $3 million for Q4 2018.
Analysis
Taoping (TAOP) Buildings (2018) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.44 Bn | 38.94 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.27 Bn | 25.44 Bn | 1.83 Bn |
| 3 | Wipro | 22.26 Bn | 16.96 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.89 Bn | 14.05 Bn | 1.43 Bn |
| 5 | Cdw | 19.82 Bn | 17.81 Bn | 1.32 Bn |
| 6 | Cgi | 17.68 Bn | 15.48 Bn | - |
| 7 | Arrow Electronics | 11.18 Bn | 10.13 Bn | 1.13 Bn |
| 8 | Avnet | 7.57 Bn | 6.75 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.99 Bn | 2.63 Bn | 429.57 Mn |
| 10 | Taoping | 75,759.11 | -6.86 Mn | - |
API Access
Taoping 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=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "TAOP", "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=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();