Taoping (TAOP) Interest Expenses (2011 - 2018)
Taoping (TAOP) recorded Interest Expenses of $460,544 in FY2024, down 20.7% from $580,630 in FY2023.
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Analysis
Taoping (TAOP) Interest Expenses (2011 - 2018) Analysis & Trends
Starting with FY2010, Taoping's Interest Expenses history includes 15 years.
- Annual Interest Expenses has a five-year compound annual growth rate of -1.6% (FY2019 to FY2024).
- The FY2024 figure is the lowest annual Interest Expenses since FY2017.
- Per Business Quant data, TAOP's Interest Expenses was $580,630 in FY2023 (+4.3%), $556,434 in FY2022 (-40.1%), $928,352 in FY2021 (-8.8%) and $1.02 million in FY2020 (+103.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 12.57 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 13.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 22.08 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 66.46 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 76.25 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 | 883,745.00 |
| Sep 30, 2018 | -139,290.00 |
| Jun 30, 2018 | -119,599.00 |
| Mar 31, 2018 | -124,856.00 |
| Dec 31, 2017 | 844,333.00 |
| Sep 30, 2017 | -119,193.00 |
| Jun 30, 2017 | -112,780.00 |
| Mar 31, 2017 | -112,360.00 |
| Dec 31, 2016 | -904,171.00 |
| Sep 30, 2016 | 105,083.00 |
| Dec 31, 2012 | 1.43 Mn |
| Sep 30, 2012 | -1.21 Mn |
| Dec 31, 2011 | 527,806.00 |
API Access
Taoping Interest 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=interest-expenses&ticker=TAOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();