Taoping (TAOP) Capital Expenditures (2012 - 2018)
Taoping (TAOP) reported Capital Expenditures of -$1.35 million for FY2025, compared with -$1.05 million in FY2024.
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Analysis
Taoping (TAOP) Capital Expenditures (2012 - 2018) Analysis & Trends
Dating back to FY2010, Taoping's Capital Expenditures record includes 16 years.
- The FY2025 figure ranks as the lowest annual Capital Expenditures since FY2022.
- According to Business Quant data, Capital Expenditures came in at -$1.05 million in FY2024, -$1.21 million in FY2023, -$1.79 million in FY2022 and -$11.29 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 99.00 Mn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 58.88 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 27.50 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | -20.01 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 21.14 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 16.76 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 32.92 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 15.21 Mn |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -729,789.00 |
| Sep 30, 2018 | -667,170.00 |
| Jun 30, 2018 | -397,203.00 |
| Mar 31, 2018 | -3,348.00 |
| Dec 31, 2017 | -2.32 Mn |
| Sep 30, 2017 | -1.22 Mn |
| Jun 30, 2017 | -53,296.00 |
| Mar 31, 2017 | -191,610.00 |
| Dec 31, 2016 | -1.44 Mn |
| Dec 31, 2012 | -6.46 Mn |
| Sep 30, 2012 | 6.62 Mn |
API Access
Taoping Capital Expenditures 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=capital-expenditures&ticker=TAOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();