Forte Biosciences (FBRX) Non-Current Debt (2016 - 2019)
Forte Biosciences' Non-Current Debt came in at $22.08 million for Q2 2019, down 14.8% from $25.91 million a year earlier and down 8.5% from the prior quarter.
Forte Biosciences (FBRX) Non-Current Debt (2016 - 2019) Analysis & Trends
At the end of FY2018, Forte Biosciences' Non-Current Debt was $26.2 million, up 622.8% from FY2017.
- Going back by year, Non-Current Debt was $3.63 million in FY2017 (-64.6%) and $10.24 million in FY2016.
- The Q2 2019 figure represents the lowest quarterly Non-Current Debt since Q1 2018.
- Year-over-year, Non-Current Debt increased in three of the last six quarters, with growth averaging 189.0%.
- Business Quant data shows FBRX's Non-Current Debt at $24.14 million (Q1 2019), $26.2 million (Q4 2018) and $26.06 million (Q3 2018) in the three quarters before Q2 2019.
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 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 22.08 Mn |
| Mar 31, 2019 | 24.14 Mn |
| Dec 31, 2018 | 26.20 Mn |
| Sep 30, 2018 | 26.06 Mn |
| Jun 30, 2018 | 25.91 Mn |
| Mar 31, 2018 | 1.97 Mn |
| Dec 31, 2017 | 3.63 Mn |
| Sep 30, 2017 | 5.28 Mn |
| Jun 30, 2017 | 6.93 Mn |
| Mar 31, 2017 | 8.58 Mn |
| Dec 31, 2016 | 10.24 Mn |
Forte Biosciences 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=FBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "FBRX", "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=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();