Lakefront Biotherapeutics (LKFT) EBITDA Margin (2016 - 2018)
Lakefront Biotherapeutics' EBITDA Margin was -33.46% in the year ended Dec 31, 2020, down 79.12 percentage points from 45.66% a year earlier.
Lakefront Biotherapeutics (LKFT) EBITDA Margin (2016 - 2018) Analysis & Trends
From the year ended Dec 31, 2013 onward, Lakefront Biotherapeutics has reported EBITDA Margin for 8 years.
- EBITDA Margin shows a five-year change of -8406.32 percentage points (years ended Dec 2015 to Dec 2020).
- The figure for the year ended Dec 31, 2020 marks the lowest annual EBITDA Margin since the year ended Dec 31, 2017.
- Per Business Quant data, EBITDA Margin in earlier years was 45.66% in the year ended Dec 31, 2019 (+60.20 pp), -14.54% in the year ended Dec 31, 2018 (+52.24 pp), -66.78% in the year ended Dec 31, 2017 (-725.13 pp) and 658.35% in the year ended Dec 31, 2016 (-7714.51 pp).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 54.65% |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 32.68% |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 46.88% |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 40.75% |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 46.62% |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 50.63% |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 42.49% |
| 10 | Lakefront Biotherapeutics | 2.19 Bn | 1.29 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 14.13% |
| Jun 30, 2018 | -62.93% |
| Dec 31, 2017 | -66.81% |
| Sep 30, 2017 | -106.08% |
| Jun 30, 2017 | -87.76% |
| Mar 31, 2017 | -29.93% |
| Jun 30, 2016 | -17.92% |
| Mar 31, 2016 | -162.35% |
Lakefront Biotherapeutics EBITDA Margin 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=ebitda-margin&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "LKFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();