Taoping (TAOP) Depreciation & Amortization - Total (2016 - 2018)
Taoping's Depreciation & Amortization - Total came in at $743,372 for Q3 2018, up 43.6% from $517,710 a year earlier but down 11.6% from the prior quarter.
Taoping (TAOP) Depreciation & Amortization - Total (2016 - 2018) Analysis & Trends
Over the trailing twelve months to Sep 30, 2018, Taoping reported Depreciation & Amortization - Total of $2.77 million, up 45.0% year-over-year; for FY2017, it was $1.56 million, up 20.8% from FY2016.
- Depreciation & Amortization - Total carries a four-year compound annual growth rate of -33.8% (FY2013 to FY2017).
- Going back by year, Depreciation & Amortization - Total was $1.29 million in FY2016, $2.47 million in FY2014 (-69.5%) and $8.11 million in FY2013.
- The five-year range for quarterly Depreciation & Amortization - Total is $453,169 (Q1 2017) to $841,173 (Q2 2018).
- Year-over-year, Depreciation & Amortization - Total has increased for three consecutive quarters, with growth averaging 45.1% over the last four quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | 12.46 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | - |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | - |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 743,372.00 |
| Jun 30, 2018 | 841,173.00 |
| Mar 31, 2018 | 666,968.00 |
| Sep 30, 2017 | 517,710.00 |
| Jun 30, 2017 | 467,541.00 |
| Mar 31, 2017 | 453,169.00 |
| Sep 30, 2016 | 471,072.00 |
Taoping Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();