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).
- The FY2025 figure marks the highest annual Net Margin since FY2018.
- 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 | 52.03 Bn | 38.53 Bn | 1.60 Bn | 1,528.73% |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 11.60% |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 13.73% |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 4.18% |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 1.93% |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 11.09% |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 2.73% |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 1.53% |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 7.28% |
| 10 | Taoping | 68,187.45 | -6.86 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -4.17% |
| Sep 30, 2018 | -2.77% |
| Jun 30, 2018 | 26.14% |
| Mar 31, 2018 | 2.08% |
| Dec 31, 2017 | -4.27% |
| Sep 30, 2017 | 16.59% |
| Jun 30, 2017 | 30.93% |
| Mar 31, 2017 | -430.53% |
| Dec 31, 2016 | -202.49% |
| 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();