Taoping (TAOP) Short-Term Debt repayments (2012 - 2018)
Taoping (TAOP) reported Short-Term Debt repayments of -$1.81 million for FY2025, compared with -$8.43 million in FY2024.
Analysis
Taoping (TAOP) Short-Term Debt repayments (2012 - 2018) Analysis & Trends
Dating back to FY2010, Taoping's Short-Term Debt repayments record includes 16 years.
- The FY2025 figure ranks as the highest annual Short-Term Debt repayments since FY2019.
- According to Business Quant data, Short-Term Debt repayments came in at -$8.43 million in FY2024, -$7.23 million in FY2023, -$7.42 million in FY2022 and -$10.33 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.50 Bn | 39.00 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 32.86 Bn | 26.02 Bn | 1.83 Bn | - |
| 3 | Wipro | 22.74 Bn | 17.89 Bn | 745.00 Mn | - |
| 4 | Cdw | 20.01 Bn | 18.00 Bn | 1.32 Bn | 2.35 Bn |
| 5 | Td Synnex | 19.40 Bn | 13.55 Bn | 1.43 Bn | - |
| 6 | Cgi | 17.90 Bn | 15.70 Bn | - | - |
| 7 | Arrow Electronics | 10.78 Bn | 9.73 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.31 Bn | 6.49 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 7.04 Bn | 2.68 Bn | 429.57 Mn | - |
| 10 | Taoping | 151,671.28 | -6.78 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 10.79 Mn |
| Sep 30, 2018 | -4.13 Mn |
| Jun 30, 2018 | 2.61 Mn |
| Mar 31, 2018 | -1.09 Mn |
| Dec 31, 2017 | 12.92 Mn |
| Sep 30, 2017 | -5.75 Mn |
| Jun 30, 2017 | 3.24 Mn |
| Mar 31, 2017 | -1.04 Mn |
| Dec 31, 2016 | 31.88 Mn |
| Sep 30, 2016 | -29.25 Mn |
| Dec 31, 2012 | 15.69 Mn |
| Sep 30, 2012 | 24.51 Mn |
API Access
Taoping Short-Term Debt repayments 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=short-term-debt-repayments&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();