LogicMark (LGMK) Interest Expenses (2012 - 2021)
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Analysis
LogicMark (LGMK) Interest Expenses (2012 - 2021) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 132.00 Mn |
| 10 | LogicMark | 989,734.92 | -26.70 Mn | 2.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 28,000.00 |
| Sep 30, 2021 | 144,821.00 |
| Jun 30, 2021 | 389,542.00 |
| Mar 31, 2021 | 861,248.00 |
| Dec 31, 2020 | 536,459.00 |
| Sep 30, 2020 | 551,916.00 |
| Jun 30, 2020 | 564,303.00 |
| Mar 31, 2020 | 601,342.00 |
| Dec 31, 2019 | 609,271.00 |
| Sep 30, 2019 | 1.13 Mn |
| Jun 30, 2019 | 691,267.00 |
| Mar 31, 2019 | 586,201.00 |
| Dec 31, 2018 | 588,692.00 |
| Sep 30, 2018 | 580,152.00 |
| Jun 30, 2018 | 1.04 Mn |
| Mar 31, 2018 | 757,478.00 |
| Dec 31, 2017 | 2.10 Mn |
| Sep 30, 2017 | 2.17 Mn |
| Jun 30, 2017 | 1.72 Mn |
| Mar 31, 2017 | 1.70 Mn |
API Access
LogicMark 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=interest-expenses&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();