Lakefront Biotherapeutics (LKFT) Non-Current Debt (2014 - 2018)
Lakefront Biotherapeutics (LKFT) recorded Non-Current Debt of -$5.7 million in the quarter ended Dec 31, 2018, compared with -$16,484 a year earlier.
Lakefront Biotherapeutics (LKFT) Non-Current Debt (2014 - 2018) Analysis & Trends
For the year ended Dec 31, 2018, Lakefront Biotherapeutics reported Non-Current Debt of -$5.91 million.
- Across earlier years, Non-Current Debt came in at -$73.41 million in the year ended Dec 31, 2017, -$54.25 million in the year ended Dec 31, 2016, -$47.76 million in the year ended Dec 31, 2015 and -$287,128 in the year ended Dec 31, 2014.
- Quarterly Non-Current Debt has ranged from -$36.27 million in the quarter ended Jun 30, 2017 to $38.72 million in the quarter ended Sep 30, 2017 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Lakefront Biotherapeutics | 1.97 Bn | 1.97 Bn | 3.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -5.70 Mn |
| Sep 30, 2018 | 8.13 Mn |
| Jun 30, 2018 | -8.33 Mn |
| Dec 31, 2017 | -16,484.06 |
| Sep 30, 2017 | 38.72 Mn |
| Jun 30, 2017 | -36.27 Mn |
| Mar 31, 2017 | -14,915.70 |
| Dec 31, 2016 | -52,906.49 |
| Jun 30, 2016 | -11,298.75 |
| Mar 31, 2016 | -18,751.21 |
| Dec 31, 2015 | -47,133.04 |
| Dec 31, 2014 | -269,964.03 |
Lakefront Biotherapeutics Non-Current Debt 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=non-current-debt&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();