LogicMark (LGMK) Short-Term Debt repayments (2016 - 2018)
LogicMark (LGMK) posted Short-Term Debt repayments of $16 million for FY2019, compared with $212,961 in FY2018.
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Analysis
LogicMark (LGMK) Short-Term Debt repayments (2016 - 2018) Analysis & Trends
Since FY2016, LogicMark has reported Short-Term Debt repayments for 4 years.
- Annual Short-Term Debt repayments shows a three-year compound annual growth rate of 110.1% (FY2016 to FY2019).
- Business Quant data shows LGMK's Short-Term Debt repayments at $212,961 in FY2018 (-72.5%), $773,969 in FY2017 (-55.2%) and $1.73 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.09 Bn | 228.12 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 180.55 Bn | 150.98 Bn | 7.27 Bn | - |
| 3 | Danaher | 160.58 Bn | 144.39 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 157.75 Bn | 138.04 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.52 Bn | 87.77 Bn | 6.34 Bn | - |
| 6 | Stryker | 118.16 Bn | 104.28 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 13.00 Mn |
| 8 | Becton Dickinson | 54.80 Bn | 51.94 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.55 Bn | 35.55 Bn | 1.35 Bn | - |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 53,240.00 |
| Jun 30, 2018 | 53,240.00 |
| Mar 31, 2018 | 106,481.00 |
| Sep 30, 2017 | 523,969.00 |
| Dec 31, 2016 | 1.48 Mn |
API Access
LogicMark Short-Term Debt repayments 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=short-term-debt-repayments&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();