Taoping (TAOP) Change in Receivables (2012 - 2018)
Taoping (TAOP) posted Change in Receivables of -$1.66 million for FY2025, compared with -$2.42 million in FY2024.
Analysis
Taoping (TAOP) Change in Receivables (2012 - 2018) Analysis & Trends
Since FY2010, Taoping has reported Change in Receivables for 16 years.
- Annual Change in Receivables has run from a low of -$3.96 million in FY2022 to a high of -$393,934 in FY2023 over five years.
- Business Quant data shows TAOP's Change in Receivables at -$2.42 million in FY2024, -$393,934 in FY2023, -$3.96 million in FY2022 and -$907,826 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 131.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 1.15 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 883.90 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 2.06 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 1.40 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | -162.00 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | - |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -2.22 Mn |
| Sep 30, 2018 | -1.17 Mn |
| Jun 30, 2018 | -1.34 Mn |
| Mar 31, 2018 | -426,652.00 |
| Dec 31, 2017 | -380,785.00 |
| Sep 30, 2017 | 61,222.00 |
| Jun 30, 2017 | -825,534.00 |
| Mar 31, 2017 | -1.00 Mn |
| Dec 31, 2016 | -1.17 Mn |
| Sep 30, 2016 | -301,855.00 |
| Dec 31, 2012 | -746,206.00 |
| Sep 30, 2012 | -3.21 Mn |
API Access
Taoping Change in Receivables 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=change-in-receivables&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();