LogicMark (LGMK) Times Interest Earned (2012 - 2021)
LogicMark's (LGMK) Times Interest Earned stood at -216.29 in Q4 2021, compared with -1.86 a year earlier.
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Analysis
LogicMark (LGMK) Times Interest Earned (2012 - 2021) Analysis & Trends
For FY2021, LogicMark's Times Interest Earned came in at -5.30.
- Across earlier years, Times Interest Earned came in at -0.26 in FY2020, 0.85 in FY2019 (+331.1%), 0.20 in FY2018 and -0.28 in FY2017.
- The Q4 2021 figure is the lowest quarterly Times Interest Earned in data going back to Q4 2012.
- Per Business Quant, the preceding three quarters came in at -3.43 (Q3 2021), -0.54 (Q2 2021) and -0.91 (Q1 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.15 Bn | 228.18 Bn | 4.88 Bn | 5.20 |
| 2 | Abbott Laboratories | 180.74 Bn | 151.17 Bn | 7.27 Bn | 4.82 |
| 3 | Danaher | 161.29 Bn | 145.10 Bn | 3.61 Bn | 10.53 |
| 4 | Intuitive Surgical | 157.97 Bn | 138.26 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.53 Bn | 87.79 Bn | 6.34 Bn | 9.48 |
| 6 | Stryker | 118.24 Bn | 104.35 Bn | 4.50 Bn | 11.77 |
| 7 | Boston Scientific | 67.21 Bn | 61.98 Bn | 3.85 Bn | 12.27 |
| 8 | Becton Dickinson | 54.78 Bn | 51.93 Bn | 2.32 Bn | 5.02 |
| 9 | Edwards Lifesciences | 51.53 Bn | 35.54 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 | -216.29 |
| Sep 30, 2021 | -3.43 |
| Jun 30, 2021 | -0.54 |
| Mar 31, 2021 | -0.91 |
| Dec 31, 2020 | -1.86 |
| Sep 30, 2020 | -0.95 |
| Jun 30, 2020 | -0.18 |
| Mar 31, 2020 | 1.73 |
| Dec 31, 2019 | 1.28 |
| Sep 30, 2019 | 0.64 |
| Jun 30, 2019 | 0.82 |
| Mar 31, 2019 | 0.87 |
| Dec 31, 2018 | -0.48 |
| Sep 30, 2018 | 0.39 |
| Jun 30, 2018 | 0.43 |
| Mar 31, 2018 | 0.26 |
| Dec 31, 2017 | -0.74 |
| Sep 30, 2017 | -0.49 |
| Jun 30, 2017 | 0.39 |
| Mar 31, 2017 | 0.63 |
API Access
LogicMark Times Interest Earned 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=times-interest-earned&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();