Forte Biosciences (FBRX) Notes Payables (2016 - 2020)
Forte Biosciences (FBRX) recorded Notes Payables of $4.98 million in Q1 2020, up 126.0% from $2.2 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Forte Biosciences (FBRX) Notes Payables (2016 - 2020) Analysis & Trends
At the end of FY2019, Forte Biosciences reported Notes Payables of $4.74 million.
- Annual Notes Payables has a three-year compound annual growth rate of -13.0% (FY2016 to FY2019).
- Across earlier years, Notes Payables came in at $7.2 million in FY2017 (unchanged) and $7.2 million in FY2016.
- Quarterly Notes Payables has ranged from $2.2 million in Q1 2019 to $27.84 million in Q3 2019 over the past five years.
- Per Business Quant, the preceding three quarters came in at $4.74 million (Q4 2019), $27.84 million (Q3 2019) and $4.41 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 4.98 Mn |
| Dec 31, 2019 | 4.74 Mn |
| Sep 30, 2019 | 27.84 Mn |
| Jun 30, 2019 | 4.41 Mn |
| Mar 31, 2019 | 2.20 Mn |
| Mar 31, 2018 | 7.20 Mn |
| Dec 31, 2017 | 7.20 Mn |
| Sep 30, 2017 | 7.20 Mn |
| Jun 30, 2017 | 7.20 Mn |
| Mar 31, 2017 | 7.20 Mn |
| Dec 31, 2016 | 7.20 Mn |
API Access
Forte Biosciences Notes Payables 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=notes-payables&ticker=FBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();