Taoping (TAOP) Land & Improvements (2012 - 2016)
Taoping (TAOP) posted Land & Improvements of $13.7 million for Q2 2016, down 8.3% from $14.94 million a year earlier.
Analysis
Taoping (TAOP) Land & Improvements (2012 - 2016) Analysis & Trends
At the end of FY2015, Taoping's Land & Improvements came in at $14.02 million, down 100.0% from FY2014.
- In prior years, Taoping's Land & Improvements was $3.36 trillion in FY2014 (+133.4%), $1.44 trillion in FY2013 (-92.5%), $19.09 trillion in FY2012 (-30.8%) and $27.56 trillion in FY2011.
- The Q2 2016 figure stands as the lowest quarterly Land & Improvements since Q4 2012.
- On a year-over-year basis, Land & Improvements increased in 1 of the last four quarters, with growth averaging 1.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 5.69 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 30.93 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | - |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 13.70 Mn |
| Dec 31, 2015 | 14.02 Mn |
| Jun 30, 2015 | 14.94 Mn |
| Dec 31, 2014 | 3,355.09 Bn |
| Jun 30, 2014 | 18.14 Mn |
| Dec 31, 2013 | 1,437.37 Bn |
| Jun 30, 2013 | 18.01 Mn |
| Dec 31, 2012 | -2.51 Mn |
| Sep 30, 2012 | 27.72 Mn |
API Access
Taoping Land & Improvements 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=land-and-improvements&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();