LogicMark (LGMK) Long-Term Debt Issuances (2012 - 2021)
LogicMark's Long-Term Debt Issuances was $14.67 million in FY2019, down 1.6% from $14.91 million in FY2018.
Analysis
LogicMark (LGMK) Long-Term Debt Issuances (2012 - 2021) Analysis & Trends
From FY2012 onward, LogicMark has reported Long-Term Debt Issuances for 7 years.
- Long-Term Debt Issuances shows a four-year compound annual growth rate of 49.2% (FY2015 to FY2019).
- Annual Long-Term Debt Issuances has moved between -$3 million (FY2017) and $14.91 million (FY2018) over five years.
- Per Business Quant data, Long-Term Debt Issuances in earlier years was $14.91 million in FY2018, -$3 million in FY2017, $13.91 million in FY2016 (+369.4%) and $2.96 million in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | -33.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 6.56 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | - |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 4.00 Mn |
| Dec 31, 2016 | -93,750.00 |
| Dec 31, 2015 | 1.48 Mn |
| Jun 30, 2013 | 39,000.00 |
| Mar 31, 2013 | 100,000.00 |
| Dec 31, 2012 | 75,000.00 |
API Access
LogicMark 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=LGMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "LGMK", "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=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();