Taoping (TAOP) Asset Writedowns and Impairment (2012 - 2018)
Taoping (TAOP) posted Asset Writedowns and Impairment of -$53,314 for FY2023, compared with $1.52 million in FY2022.
Analysis
Taoping (TAOP) Asset Writedowns and Impairment (2012 - 2018) Analysis & Trends
Since FY2010, Taoping has reported Asset Writedowns and Impairment for 13 years.
- The FY2023 figure stands as the lowest annual Asset Writedowns and Impairment in data going back to FY2010.
- Business Quant data shows TAOP's Asset Writedowns and Impairment at $1.52 million in FY2022 (+207.4%), $493,617 in FY2021, $5,629 in FY2020 (-95.1%) and $115,191 in FY2019 (+153.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 13,562.00 |
| Sep 30, 2018 | -688.00 |
| Jun 30, 2018 | 20,691.00 |
| Mar 31, 2018 | 11,835.00 |
| Dec 31, 2017 | -81,047.00 |
| Sep 30, 2017 | -83,736.00 |
| Jun 30, 2017 | 96,695.00 |
| Mar 31, 2017 | 68,088.00 |
| Dec 31, 2016 | 4.14 Mn |
| Sep 30, 2016 | 276,115.00 |
| Dec 31, 2012 | 4.00 Mn |
API Access
Taoping Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();