Taoping (TAOP) Cost of Revenue (2011 - 2018)
Taoping's Cost of Revenue was $27.45 trillion in FY2025, compared with $28.9 million in FY2024.
Analysis
Taoping (TAOP) Cost of Revenue (2011 - 2018) Analysis & Trends
From FY2010 onward, Taoping has reported Cost of Revenue for 16 years.
- Cost of Revenue shows a five-year compound annual growth rate of 1975.9% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Cost of Revenue since FY2014.
- Per Business Quant data, Cost of Revenue in earlier years was $28.9 million in FY2024 (-3.0%), $29.78 million in FY2023 (+75.2%), $17 million in FY2022 (-100.0%) and $12.72 trillion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 3.48 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 3.65 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 20.13 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 5.25 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 8.87 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 7.43 Bn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 13.57 Bn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 985.20 Mn |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 2.03 Mn |
| Sep 30, 2018 | 2.79 Mn |
| Jun 30, 2018 | 3.81 Mn |
| Mar 31, 2018 | 2.29 Mn |
| Dec 31, 2017 | 3.18 Mn |
| Sep 30, 2017 | 3.38 Mn |
| Jun 30, 2017 | 3.02 Mn |
| Mar 31, 2017 | 275,408.00 |
| Dec 31, 2016 | 3.20 Mn |
| Sep 30, 2016 | 2.39 Mn |
| Dec 31, 2012 | 20.94 Mn |
| Sep 30, 2012 | 24.03 Mn |
| Dec 31, 2011 | 21.98 Mn |
API Access
Taoping Cost of Revenue 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=cost-of-revenue&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();