InspireMD (NSPR) Operating Interest Expenses (2011 - 2014)
InspireMD's Operating Interest Expenses came in at $711,000 for FY2014, down 67.1% from $2.16 million in FY2013.
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Analysis
InspireMD (NSPR) Operating Interest Expenses (2011 - 2014) Analysis & Trends
- Operating Interest Expenses carries a three-year compound annual growth rate of 205.2% (FY2011 to FY2014).
- The FY2014 figure represents the lowest annual Operating Interest Expenses since FY2011.
- Per Business Quant, earlier years put Operating Interest Expenses at $2.16 million in FY2013 and $25,000 in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | - |
| 10 | InspireMD | 54.18 Mn | 54.18 Mn | 240,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 361,000.00 |
| Jun 30, 2014 | 359,000.00 |
| Mar 31, 2014 | 352,000.00 |
| Jun 30, 2013 | 884,000.00 |
| Mar 31, 2013 | 1.28 Mn |
| Dec 31, 2012 | 1.12 Mn |
| Sep 30, 2012 | 988,000.00 |
| Mar 31, 2012 | 1,000.00 |
| Dec 31, 2011 | 10,000.00 |
| Sep 30, 2011 | 15,000.00 |
API Access
InspireMD 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=NSPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "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=operating-interest-expenses&ticker=NSPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();