Taoping (TAOP) EBITDA Margin (2012 - 2018)
Taoping (TAOP) reported EBITDA Margin of -29.96% for FY2025, down 31.35 percentage points from 1.39% in FY2024.
Analysis
Taoping (TAOP) EBITDA Margin (2012 - 2018) Analysis & Trends
Dating back to FY2010, Taoping's EBITDA Margin record includes 16 years.
- EBITDA Margin has a five-year change of +93.10 percentage points (FY2020 to FY2025).
- The FY2025 figure ranks as the lowest annual EBITDA Margin since FY2020.
- According to Business Quant data, EBITDA Margin came in at 1.39% in FY2024 (+1.39 pp), 0.00% in FY2023 (unchanged), 0.00% in FY2022 (unchanged) and 0.00% in FY2021 (+123.06 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 23.71% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 18.56% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 3.19% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 7.66% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 19.50% |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 4.13% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 3.06% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 1.96% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 13.03% |
| 10 | Taoping | 110,597.24 | -4.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 6.67% |
| Sep 30, 2018 | 16.19% |
| Jun 30, 2018 | 25.96% |
| Mar 31, 2018 | 20.75% |
| Dec 31, 2017 | 9.74% |
| Sep 30, 2017 | 28.60% |
| Jun 30, 2017 | 20.59% |
| Mar 31, 2017 | -301.54% |
| Dec 31, 2016 | -594.20% |
| Sep 30, 2016 | 117.72% |
| Dec 31, 2012 | -134.64% |
| Sep 30, 2012 | -66.56% |
API Access
Taoping EBITDA 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=ebitda-margin&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();