LogicMark (LGMK) Income from Discontinued Operations (2017 - 2019)
LogicMark (LGMK) posted Income from Discontinued Operations of -$5.99 million for Q4 2019, compared with -$8.74 million a year earlier.
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Analysis
LogicMark (LGMK) Income from Discontinued Operations (2017 - 2019) Analysis & Trends
For FY2019, LogicMark's Income from Discontinued Operations came in at -$9.42 million.
- In prior years, LogicMark's Income from Discontinued Operations was -$5.76 million in FY2018 and $284,256 in FY2017.
- Quarterly Income from Discontinued Operations has run from a low of -$8.74 million in Q4 2018 to a high of -$359,989 in Q4 2017 over five years.
- According to Business Quant data, Income from Discontinued Operations for the three prior quarters was -$1.24 million (Q3 2019), -$1.18 million (Q2 2019) and -$1.01 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Discontinued) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | -74.00 Mn |
| 10 | LogicMark | 1.02 Mn | -26.68 Mn | 2.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -5.99 Mn |
| Sep 30, 2019 | -1.24 Mn |
| Jun 30, 2019 | -1.18 Mn |
| Mar 31, 2019 | -1.01 Mn |
| Dec 31, 2018 | -8.74 Mn |
| Sep 30, 2018 | -1.11 Mn |
| Jun 30, 2018 | -933,881.00 |
| Mar 31, 2018 | -935,958.00 |
| Dec 31, 2017 | -359,989.00 |
| Sep 30, 2017 | -614,606.00 |
API Access
LogicMark Income from Discontinued Operations 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=income-from-discontinued-operations&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-discontinued-operations", "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=income-from-discontinued-operations&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();