Taoping (TAOP) Interest Coverage Ratio (2011 - 2018)
Taoping's (TAOP) Interest Coverage Ratio was -3.49 for FY2024, compared with -0.34 in FY2023.
Analysis
Taoping (TAOP) Interest Coverage Ratio (2011 - 2018) Analysis & Trends
Dating back to FY2010, Taoping's Interest Coverage Ratio record includes 15 years.
- Five-year annual Interest Coverage Ratio spans a low of -17.06 in FY2020 and a high of -0.34 in FY2023.
- According to Business Quant data, Interest Coverage Ratio came in at -0.34 in FY2023, -5.69 in FY2022, -10.92 in FY2021 and -17.06 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 85.40 |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 67.23 |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 21.76 |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 3.48 |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 3.09 |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | - |
| 10 | Taoping | 110,597.24 | -4.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -0.59 |
| Sep 30, 2018 | -0.82 |
| Jun 30, 2018 | 7.12 |
| Mar 31, 2018 | -0.40 |
| Dec 31, 2017 | -0.27 |
| Sep 30, 2017 | 9.52 |
| Jun 30, 2017 | 3.83 |
| Mar 31, 2017 | -15.95 |
| Dec 31, 2016 | -26.87 |
| Sep 30, 2016 | 30.03 |
| Dec 31, 2012 | -31.73 |
| Sep 30, 2012 | -16.50 |
| Dec 31, 2011 | -11.77 |
API Access
Taoping Interest Coverage Ratio 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=interest-coverage-ratio&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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=interest-coverage-ratio&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();