Forte Biosciences (FBRX) Revenue (2017 - 2019)
Forte Biosciences (FBRX) reported Revenue of $9,000 for Q4 2019, unchanged from $9,000 a year earlier and unchanged from the prior quarter.
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Analysis
Forte Biosciences (FBRX) Revenue (2017 - 2019) Analysis & Trends
For FY2019, Forte Biosciences posted Revenue of $36,000, down 99.8% from FY2018.
- Revenue has a three-year compound annual growth rate of -9.8% (FY2016 to FY2019).
- By year, Revenue came in at $18.04 million in FY2018, $41,000 in FY2017 (-16.3%) and $49,000 in FY2016.
- Five-year quarterly Revenue spans a low of $9,000 in Q1 2018 and a high of $18.01 million in Q3 2018.
- Per Business Quant data, the three quarters before Q4 2019 came in at $9,000 (Q3 2019), $9,000 (Q2 2019) and $9,000 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 9,000.00 |
| Sep 30, 2019 | 9,000.00 |
| Jun 30, 2019 | 9,000.00 |
| Mar 31, 2019 | 9,000.00 |
| Dec 31, 2018 | 9,000.00 |
| Sep 30, 2018 | 18.01 Mn |
| Jun 30, 2018 | 9,000.00 |
| Mar 31, 2018 | 9,000.00 |
| Dec 31, 2017 | 10,000.00 |
| Sep 30, 2017 | 10,000.00 |
| Jun 30, 2017 | 10,000.00 |
API Access
Forte Biosciences Revenue 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=revenue&ticker=FBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();