Taoping (TAOP) EBIT Margin (2011 - 2018)
Taoping's EBIT Margin came in at -29.96% for FY2025, down 25.58 percentage points from -4.39% in FY2024.
Analysis
Taoping (TAOP) EBIT Margin (2011 - 2018) Analysis & Trends
Going back to FY2010, Taoping's EBIT Margin data covers 16 years.
- EBIT Margin carries a five-year change of +127.02 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual EBIT Margin since FY2020.
- Per Business Quant, earlier years put EBIT Margin at -4.39% in FY2024 (-4.39 pp), 0.00% in FY2023 (unchanged), 0.00% in FY2022 (unchanged) and 0.00% in FY2021 (+156.98 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 21.12% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 15.95% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 2.65% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 6.52% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 15.85% |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 3.78% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 2.79% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 1.62% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 10.76% |
| 10 | Taoping | 110,597.24 | -4.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -12.67% |
| Sep 30, 2018 | -2.24% |
| Jun 30, 2018 | 11.59% |
| Mar 31, 2018 | -1.24% |
| Dec 31, 2017 | -3.78% |
| Sep 30, 2017 | 17.47% |
| Jun 30, 2017 | 8.07% |
| Mar 31, 2017 | -475.91% |
| Dec 31, 2016 | -610.78% |
| Sep 30, 2016 | 96.82% |
| Dec 31, 2012 | -154.39% |
| Sep 30, 2012 | -70.39% |
| Dec 31, 2011 | -19.89% |
API Access
Taoping EBIT 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=ebit-margin&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();