LogicMark (LGMK) Non Operating Interest Expenses (2012 - 2021)
LogicMark's Non Operating Interest Expenses came in at $28,000 for Q4 2021, down 94.8% from $536,459 a year earlier and down 80.7% from the prior quarter.
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Analysis
LogicMark (LGMK) Non Operating Interest Expenses (2012 - 2021) Analysis & Trends
For FY2021, LogicMark's Non Operating Interest Expenses was $1.42 million, down 36.8% from FY2020.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -15.3% (FY2016 to FY2021).
- Going back by year, Non Operating Interest Expenses was $2.25 million in FY2020 (-25.4%), $3.02 million in FY2019 (+1.8%), $2.97 million in FY2018 (-61.5%) and $7.7 million in FY2017 (+135.0%).
- The Q4 2021 figure represents the lowest quarterly Non Operating Interest Expenses since Q4 2013.
- Year-over-year, Non Operating Interest Expenses has declined for three consecutive quarters, with an average decline of 29.4% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2017 (growth of 747.5%), and the weakest in Q4 2021 (a decline of 94.8%).
- Business Quant data shows LGMK's Non Operating Interest Expenses at $144,821 (Q3 2021), $389,542 (Q2 2021) and $861,248 (Q1 2021) in the three quarters before Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 132.00 Mn |
| 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 |
|---|---|
| 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 Non Operating 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=non-operating-interest-expenses&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();