Taoping (TAOP) Net Cash Flow (2012 - 2018)
Taoping (TAOP) reported Net Cash Flow of $519,376 for FY2025, up 80.0% from $288,549 in FY2024.
Analysis
Taoping (TAOP) Net Cash Flow (2012 - 2018) Analysis & Trends
Dating back to FY2010, Taoping's Net Cash Flow record includes 16 years.
- The FY2025 figure ranks as the highest annual Net Cash Flow since FY2021.
- According to Business Quant data, Net Cash Flow came in at $288,549 in FY2024 (-5.2%), $304,303 in FY2023, -$3.18 million in FY2022 and $2.88 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 160.24 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | -465.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | -458.96 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | -216.00 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | -48.82 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | -34.90 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | -48.74 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | -117.44 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | -252.08 Mn |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -181,309.00 |
| Sep 30, 2018 | -1.09 Mn |
| Jun 30, 2018 | 997,294.00 |
| Mar 31, 2018 | -1.14 Mn |
| Dec 31, 2017 | 1.48 Mn |
| Sep 30, 2017 | 262,216.00 |
| Jun 30, 2017 | -196,002.00 |
| Mar 31, 2017 | -1.27 Mn |
| Dec 31, 2016 | 2.15 Mn |
| Sep 30, 2016 | -29.29 Mn |
| Dec 31, 2012 | 14.96 Mn |
| Sep 30, 2012 | -14.41 Mn |
API Access
Taoping Net Cash Flow 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-cash-flow&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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-cash-flow&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();