Vaso (VASO) Operating Interest Expenses (2014 - 2016)
Vaso's Operating Interest Expenses came in at $44,000 for FY2022, down 85.9% from $312,000 in FY2021.
Analysis
Vaso (VASO) Operating Interest Expenses (2014 - 2016) Analysis & Trends
Going back to FY2014, Vaso's Operating Interest Expenses data covers 4 years.
- The FY2022 figure represents the lowest annual Operating Interest Expenses since FY2014.
- Per Business Quant, earlier years put Operating Interest Expenses at $312,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | - |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | - |
| 10 | Vaso | 49.30 Mn | -79.90 Mn | 8.89 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 175,000.00 |
| Jun 30, 2016 | 170,000.00 |
| Mar 31, 2016 | 171,000.00 |
| Dec 31, 2015 | 207,000.00 |
| Sep 30, 2015 | 148,000.00 |
| Jun 30, 2015 | 89,000.00 |
| Mar 31, 2015 | 28,000.00 |
| Dec 31, 2014 | 42,000.00 |
| Jun 30, 2014 | 2,000.00 |
API Access
Vaso 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=operating-interest-expenses&ticker=VASO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "VASO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=VASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();