ENDRA Life Sciences (NDRA) Long-Term Debt Issuances (2016 - 2019)
ENDRA Life Sciences (NDRA) recorded Long-Term Debt Issuances of $2.49 million in FY2019, up 166.3% from $935,300 in FY2018.
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Analysis
ENDRA Life Sciences (NDRA) Long-Term Debt Issuances (2016 - 2019) Analysis & Trends
Starting with FY2016, ENDRA Life Sciences' Long-Term Debt Issuances history includes 4 years.
- Annual Long-Term Debt Issuances has a three-year compound annual growth rate of 25.7% (FY2016 to FY2019).
- Per Business Quant data, NDRA's Long-Term Debt Issuances was $935,300 in FY2018 (+315.7%), $225,000 in FY2017 (-82.1%) and $1.25 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | -33.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 6.56 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | ENDRA Life Sciences | 6.18 Mn | 2.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 2.49 Mn |
| Jun 30, 2018 | 935,300.00 |
| Mar 31, 2017 | 225,000.00 |
| Dec 31, 2016 | -132,000.00 |
| Sep 30, 2016 | 187,000.00 |
| Jun 30, 2016 | 1.20 Mn |
| Mar 31, 2016 | 50,000.00 |
API Access
ENDRA Life Sciences Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=NDRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "NDRA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-issuances&ticker=NDRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();