LogicMark (LGMK) EV to EBITDA (2017 - 2020)
LogicMark's (LGMK) EV to EBITDA was 161862.80 for Q4 2020, compared with 2970.47 a year earlier.
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Analysis
LogicMark (LGMK) EV to EBITDA (2017 - 2020) Analysis & Trends
Dating back to Q2 2017, LogicMark's EV to EBITDA record includes 12 quarters.
- By year, EV to EBITDA came in at 2970.47 in FY2019 (-65.5%) and 8615.94 in FY2018.
- The Q4 2020 figure ranks as the highest quarterly EV to EBITDA in data going back to Q2 2017.
- Per Business Quant data, the three quarters before Q4 2020 came in at 4458.80 (Q3 2020), 4040.08 (Q2 2020) and 2018.30 (Q1 2020).
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 |
|---|---|
| Dec 31, 2020 | 49,433.54 |
| Sep 30, 2020 | 3,502.98 |
| Jun 30, 2020 | 3,583.50 |
| Mar 31, 2020 | 1,872.16 |
| Dec 31, 2019 | 2,788.90 |
| Sep 30, 2019 | 4,674.66 |
| Jun 30, 2019 | 7,801.51 |
| Mar 31, 2019 | 9,048.70 |
| Dec 31, 2018 | 7,208.67 |
| Sep 30, 2018 | 31,176.83 |
| Jun 30, 2018 | 808,492.58 |
| Mar 31, 2018 | 63,231.47 |
| Dec 31, 2017 | 19,219.91 |
| Sep 30, 2017 | 9,813.73 |
| Jun 30, 2017 | 10,024.74 |
API Access
LogicMark EV to EBITDA 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-ebitda&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();