LogicMark (LGMK) EV to EBIT (2017 - 2020)
LogicMark's (LGMK) EV to EBIT was 7567.72 for Q3 2020, down 3.4% from 7832.59 a year earlier but up 39.7% from the prior quarter.
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Analysis
LogicMark (LGMK) EV to EBIT (2017 - 2020) Analysis & Trends
Over the twelve months ended Sep 30, 2020, LogicMark's EV to EBIT came in at 7564.03, down 3.4% year-over-year; for FY2019, it came in at 3933.71, down 82.0% from FY2018.
- By year, EV to EBIT came in at 21899.45 in FY2018.
- Five-year quarterly EV to EBIT spans a low of 2559.92 in Q1 2020 and a high of 407497.10 in Q3 2017.
- Year over year, EV to EBIT has now declined in each of the last four quarters, with an average decline of 59.9% over the last four quarters.
- Per Business Quant data, the three quarters before Q3 2020 came in at 5416.97 (Q2 2020), 2559.92 (Q1 2020) and 3933.71 (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.09 Bn | 228.12 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 180.55 Bn | 150.98 Bn | 7.27 Bn |
| 3 | Danaher | 160.58 Bn | 144.39 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 157.75 Bn | 138.04 Bn | 2.08 Bn |
| 5 | Medtronic | 122.52 Bn | 87.77 Bn | 6.34 Bn |
| 6 | Stryker | 118.16 Bn | 104.28 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.94 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.55 Bn | 35.55 Bn | 1.35 Bn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 7,567.72 |
| Jun 30, 2020 | 5,416.97 |
| Mar 31, 2020 | 2,559.92 |
| Dec 31, 2019 | 3,933.71 |
| Sep 30, 2019 | 7,832.59 |
| Jun 30, 2019 | 16,186.12 |
| Mar 31, 2019 | 20,692.99 |
| Dec 31, 2018 | 21,907.35 |
| Sep 30, 2017 | 407,497.10 |
API Access
LogicMark EV to EBIT 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=ev-to-ebit&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();