LogicMark (LGMK) EV to FCF (2017 - 2020)
LogicMark's EV to FCF was 11608.55 in Q3 2020, up 118.3% from 5316.50 a year earlier and up 91.4% from the prior quarter.
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Analysis
LogicMark (LGMK) EV to FCF (2017 - 2020) Analysis & Trends
On a trailing twelve-month basis, LogicMark's EV to FCF was 11602.89 through Sep 30, 2020, up 118.3% year-over-year; for FY2019, it came in at 4526.67.
- The Q3 2020 figure marks the highest quarterly EV to FCF since Q1 2019.
- Per Business Quant data, LGMK's EV to FCF in the three quarters before Q3 2020 was 6065.87 (Q2 2020), 3997.03 (Q1 2020) and 4526.67 (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 290,283.17 |
| Jun 30, 2020 | 133,129.53 |
| Mar 31, 2020 | 100,783.56 |
| Dec 31, 2019 | 114,030.49 |
| Sep 30, 2019 | 133,936.12 |
| Jun 30, 2019 | 228,231.06 |
| Mar 31, 2019 | 544,735.09 |
| Sep 30, 2017 | 561,634.85 |
| Jun 30, 2017 | 786,957.81 |
| Mar 31, 2017 | 2.05 Mn |
API Access
LogicMark EV to FCF 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-fcf&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();