Taoping (TAOP) Net Margin (2011 - 2018)
Taoping's Net Margin was 0.00% in FY2025, up 4.96 percentage points from -4.96% in FY2024.
Analysis
Taoping (TAOP) Net Margin (2011 - 2018) Analysis & Trends
From FY2010 onward, Taoping has reported Net Margin for 16 years.
- Net Margin shows a five-year change of +159.95 percentage points (FY2020 to FY2025).
- Annual Net Margin has moved between -4.96% (FY2024) and 0.00% (FY2023) over five years.
- Per Business Quant data, Net Margin in earlier years was -4.96% in FY2024 (-4.96 pp), 0.00% in FY2023 (unchanged), 0.00% in FY2022 (unchanged) and 0.00% in FY2021 (+159.95 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 16.16% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 11.60% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 1.71% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 4.18% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 11.09% |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 2.73% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 1.53% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 0.76% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 7.28% |
| 10 | Taoping | 110,597.24 | -4.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 41,345,319.80% |
| Sep 30, 2018 | -2.77% |
| Jun 30, 2018 | 26.14% |
| Mar 31, 2018 | 2.08% |
| Dec 31, 2017 | 14,408,452.91% |
| Sep 30, 2017 | 16.59% |
| Jun 30, 2017 | 11.82% |
| Mar 31, 2017 | -430.53% |
| Dec 31, 2016 | 110.21% |
| Sep 30, 2016 | -93.62% |
| Dec 31, 2012 | -164.95% |
| Sep 30, 2012 | -75.34% |
| Dec 31, 2011 | 21.91% |
API Access
Taoping Net Margin 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=net-margin&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();