Taoping (TAOP) Non Operating Interest Expenses (2011 - 2018)
Taoping's Non Operating Interest Expenses was $460,544 in FY2024, down 20.7% from $580,630 in FY2023.
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Analysis
Taoping (TAOP) Non Operating Interest Expenses (2011 - 2018) Analysis & Trends
From FY2010 onward, Taoping has reported Non Operating Interest Expenses for 15 years.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -1.6% (FY2019 to FY2024).
- The FY2024 figure marks the lowest annual Non Operating Interest Expenses since FY2016.
- Per Business Quant data, Non Operating Interest Expenses in earlier years 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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 13.00 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 Non Operating 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=non-operating-interest-expenses&ticker=TAOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();