TaoWeave (TWAV) Interest Expenses (2010 - 2017)
TaoWeave (TWAV) posted Interest Expenses of $28,000 for FY2023.
Analysis
TaoWeave (TWAV) Interest Expenses (2010 - 2017) Analysis & Trends
Since FY2010, TaoWeave has reported Interest Expenses for 10 years.
- Annual Interest Expenses shows a five-year compound annual growth rate of -38.2% (FY2018 to FY2023).
- The FY2023 figure stands as the highest annual Interest Expenses since FY2018.
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 | TaoWeave | 5.61 Mn | -3.25 Mn | 274,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 101,000.00 |
| Sep 30, 2017 | 197,000.00 |
| Dec 31, 2016 | 374,000.00 |
| Sep 30, 2016 | 362,000.00 |
| Dec 31, 2015 | 357,000.00 |
| Sep 30, 2015 | 354,000.00 |
| Jun 30, 2015 | 349,000.00 |
| Mar 31, 2015 | 337,000.00 |
| Dec 31, 2014 | 340,000.00 |
| Sep 30, 2014 | 335,000.00 |
| Jun 30, 2014 | 334,000.00 |
| Mar 31, 2014 | 334,000.00 |
| Dec 31, 2013 | 198,000.00 |
| Sep 30, 2013 | 286,000.00 |
| Jun 30, 2013 | 320,000.00 |
| Mar 31, 2013 | 292,000.00 |
| Dec 31, 2012 | 378,000.00 |
| Sep 30, 2012 | 14,000.00 |
| Jun 30, 2012 | 18,000.00 |
| Mar 31, 2012 | 11,000.00 |
API Access
TaoWeave 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=TWAV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "TWAV", "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=TWAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();