Taoping (TAOP) Change in Accured Expenses (2012 - 2018)
Taoping (TAOP) posted Change in Accured Expenses of -$1.52 million for FY2025, compared with -$567,733 in FY2024.
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Analysis
Taoping (TAOP) Change in Accured Expenses (2012 - 2018) Analysis & Trends
Since FY2010, Taoping has reported Change in Accured Expenses for 16 years.
- The FY2025 figure stands as the lowest annual Change in Accured Expenses since FY2021.
- Business Quant data shows TAOP's Change in Accured Expenses at -$567,733 in FY2024, -$465,678 in FY2023, $798,636 in FY2022 and -$2.26 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | - |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | - |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 105.67 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 100.83 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | -86.93 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | -67.67 Mn |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -172,744.00 |
| Sep 30, 2018 | 522,873.00 |
| Jun 30, 2018 | 729,838.00 |
| Mar 31, 2018 | -427,818.00 |
| Dec 31, 2017 | 2.33 Mn |
| Sep 30, 2017 | 41,020.00 |
| Jun 30, 2017 | 207,999.00 |
| Mar 31, 2017 | -1.09 Mn |
| Dec 31, 2016 | 403,583.00 |
| Sep 30, 2016 | -5.28 Mn |
| Dec 31, 2012 | -2.22 Mn |
| Sep 30, 2012 | 1.48 Mn |
API Access
Taoping Change in Accured Expenses 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-accured-expenses&ticker=TAOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();