InspireMD (NSPR) Total Debt (2010 - 2016)
InspireMD (NSPR) recorded Total Debt of $2.68 million in Q4 2016, down 48.9% from $5.25 million a year earlier and down 26.7% from the prior quarter.
Analysis
InspireMD (NSPR) Total Debt (2010 - 2016) Analysis & Trends
Starting with Q4 2010, InspireMD's Total Debt history includes 10 quarters.
- Annual Total Debt has a five-year compound annual growth rate of 95.4% (FY2011 to FY2016).
- Across earlier years, Total Debt came in at $5.25 million in FY2015 (-41.0%) and $8.9 million in FY2014.
- The Q4 2016 figure is the lowest quarterly Total Debt since Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 16.81 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 | 5.25 Mn |
| Jun 30, 2015 | 7.17 Mn |
| Dec 31, 2014 | 8.90 Mn |
| Jun 30, 2014 | 9.92 Mn |
| Mar 31, 2014 | 7.75 Mn |
| Dec 31, 2013 | 9.77 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 | 430,000.00 |
API Access
InspireMD Total 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=total-debt&ticker=NSPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=NSPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();