LogicMark (LGMK) Liabilities from Discontinued Operations (2017 - 2019)
LogicMark (LGMK) recorded Liabilities from Discontinued Operations of $16,501 in Q2 2019, down 47.4% from the prior quarter.
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Analysis
LogicMark (LGMK) Liabilities from Discontinued Operations (2017 - 2019) Analysis & Trends
At the end of FY2018, LogicMark reported Liabilities from Discontinued Operations of $365,293, down 88.5% from FY2017.
- Across earlier years, Liabilities from Discontinued Operations came in at $3.17 million in FY2017.
- Per Business Quant, the preceding three quarters came in at $31,386 (Q1 2019), $365,293 (Q4 2018) and $2.22 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 16,501.00 |
| Mar 31, 2019 | 31,386.00 |
| Dec 31, 2018 | 365,293.00 |
| Sep 30, 2018 | 2.22 Mn |
| Dec 31, 2017 | 3.17 Mn |
API Access
LogicMark Liabilities 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=liabilities-from-discontinued-operations&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-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=liabilities-from-discontinued-operations&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();