Taoping (TAOP) Current Debt (2012 - 2018)
Taoping (TAOP) recorded Current Debt of $1.21 million in Q3 2018, down 37.3% from $1.92 million a year earlier.
Taoping (TAOP) Current Debt (2012 - 2018) Analysis & Trends
On a TTM basis, Taoping's Current Debt came in at $8.88 trillion as of Sep 30, 2018, down 15.8% year-over-year; for FY2017, it came in at $8.88 trillion, down 15.8% from FY2016.
- Annual Current Debt has declined for four straight years, though with a five-year compound annual growth rate of 878.5% (FY2012 to FY2017).
- Across earlier years, Current Debt came in at $10.54 trillion in FY2016 (-76.4%), $44.58 trillion in FY2015 (-24.3%), $58.86 trillion in FY2014 (-36.4%) and $92.58 trillion in FY2013.
- The Q3 2018 figure is the lowest quarterly Current Debt since Q2 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | -141.00 Mn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | - |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | - |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 175.00 Mn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 1.50 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 4.58 Mn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 139.15 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | - |
| 10 | Taoping | 68,187.45 | -6.86 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -6.28 Mn |
| Sep 30, 2018 | 5.33 Mn |
| Jun 30, 2018 | -2.61 Mn |
| Mar 31, 2018 | 1.09 Mn |
| Dec 31, 2017 | -6.98 Mn |
| Sep 30, 2017 | 7.67 Mn |
| Jun 30, 2017 | -3.24 Mn |
| Mar 31, 2017 | 2.05 Mn |
| Dec 31, 2016 | -27.42 Mn |
| Sep 30, 2016 | 29.21 Mn |
| Dec 31, 2012 | 4.49 Mn |
| Sep 30, 2012 | -3.61 Mn |
Taoping Current Debt 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=current-debt&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();