InspireMD (NSPR) Times Interest Earned (2011 - 2019)
InspireMD's (NSPR) Times Interest Earned was -16.36 for FY2023, compared with -74.85 in FY2022.
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Analysis
InspireMD (NSPR) Times Interest Earned (2011 - 2019) Analysis & Trends
Dating back to FY2011, InspireMD's Times Interest Earned record includes 9 years.
- The FY2023 figure ranks as the highest annual Times Interest Earned since FY2016.
- According to Business Quant data, Times Interest Earned came in at -74.85 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 5.43 |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 3.88 |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.22 |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 9.48 |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 7.23 |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 8.28 |
| 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 |
|---|---|
| Jun 30, 2019 | -94.91 |
| Jun 30, 2018 | -1.74 |
| Mar 31, 2018 | -4.48 |
| Sep 30, 2017 | -2,085.00 |
| Mar 31, 2017 | -20.20 |
| Dec 31, 2016 | -13.34 |
| Sep 30, 2016 | -8.92 |
| Jun 30, 2016 | -9.39 |
| Mar 31, 2016 | -11.34 |
| Dec 31, 2015 | -12.20 |
| Sep 30, 2015 | -13.87 |
| Jun 30, 2015 | -12.99 |
| Mar 31, 2015 | -16.25 |
| Dec 31, 2014 | -9.65 |
| Sep 30, 2014 | -8.98 |
| Jun 30, 2014 | -10.08 |
| Mar 31, 2014 | -7.86 |
| Sep 30, 2013 | -68.16 |
| Jun 30, 2013 | -2.38 |
| Mar 31, 2013 | -1.26 |
API Access
InspireMD Times Interest Earned 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=times-interest-earned&ticker=NSPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=NSPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();