Lakefront Biotherapeutics (LKFT) EBITDA (2016 - 2018)
Lakefront Biotherapeutics (LKFT) reported EBITDA of -$182.63 million for the year ended Dec 31, 2020, compared with $421.94 million a year earlier.
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Analysis
Lakefront Biotherapeutics (LKFT) EBITDA (2016 - 2018) Analysis & Trends
Dating back to the year ended Dec 31, 2013, Lakefront Biotherapeutics' EBITDA record includes 8 years.
- The figure for the year ended Dec 31, 2020 ranks as the lowest annual EBITDA in data going back to the year ended Dec 31, 2013.
- According to Business Quant data, EBITDA came in at $421.94 million in the year ended Dec 31, 2019, -$49.61 million in the year ended Dec 31, 2018, -$95.84 million in the year ended Dec 31, 2017 and $943.98 million in the year ended Dec 31, 2016 (-74.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Lakefront Biotherapeutics | 2.01 Bn | 2.01 Bn | 3.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 15.59 Mn |
| Jun 30, 2018 | -37.31 Mn |
| Dec 31, 2017 | -30.85 Mn |
| Sep 30, 2017 | -33.59 Mn |
| Jun 30, 2017 | -25.99 Mn |
| Mar 31, 2017 | -10.84 Mn |
| Jun 30, 2016 | -9.87 Mn |
| Mar 31, 2016 | -18.12 Mn |
API Access
Lakefront Biotherapeutics 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=ebitda&ticker=LKFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();