InspireMD (NSPR) Short term Debt (2010 - 2016)
InspireMD's Short term Debt came in at $2.68 million for Q4 2016, down 35.4% from $4.15 million a year earlier and down 26.7% from the prior quarter.
Analysis
InspireMD (NSPR) Short term Debt (2010 - 2016) Analysis & Trends
Going back to Q4 2010, InspireMD's Short term Debt data covers 10 quarters.
- Short term Debt carries a five-year compound annual growth rate of 95.4% (FY2011 to FY2016).
- Going back by year, Short term Debt was $4.15 million in FY2015 (+8.9%) and $3.81 million in FY2014.
- The Q4 2016 figure represents the lowest quarterly Short term Debt since Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | InspireMD | 58.42 Mn | -131.19 Mn | -774,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 2.68 Mn |
| Sep 30, 2016 | 3.66 Mn |
| Jun 30, 2016 | 3.92 Mn |
| Dec 31, 2015 | 4.15 Mn |
| Jun 30, 2015 | 4.02 Mn |
| Dec 31, 2014 | 3.81 Mn |
| Jun 30, 2014 | 3.04 Mn |
| Dec 31, 2013 | 1.18 Mn |
| Mar 31, 2013 | 7.39 Mn |
| Dec 31, 2012 | 6.46 Mn |
| Dec 31, 2011 | 94,000.00 |
| Sep 30, 2011 | 183,000.00 |
| Jun 30, 2011 | 268,000.00 |
| Dec 31, 2010 | 355,000.00 |
API Access
InspireMD Short term 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=short-term-debt&ticker=NSPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "NSPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=NSPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();