Forte Biosciences (FBRX) Asset Utilization Ratio (2018 - 2019)
Forte Biosciences' (FBRX) Asset Utilization Ratio came in at 0.00 for Q4 2019, down 99.5% from 0.19 a year earlier but up 98.9% from the prior quarter.
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Analysis
Forte Biosciences (FBRX) Asset Utilization Ratio (2018 - 2019) Analysis & Trends
Since Q1 2018, Forte Biosciences has reported Asset Utilization Ratio for 8 quarters.
- In prior years, Forte Biosciences' Asset Utilization Ratio was 0.18 in FY2018 and 0.00 in FY2017.
- Quarterly Asset Utilization Ratio has run from a low of 0.00 in Q1 2018 to a high of 0.20 in Q3 2018 over five years.
- According to Business Quant data, Asset Utilization Ratio for the three prior quarters was 0.00 (Q3 2019), 0.20 (Q2 2019) and 0.18 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 0.49 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 0.47 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 0.52 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 0.44 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 0.53 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 0.40 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 0.58 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 0.47 |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 0.00 |
| Sep 30, 2019 | 0.00 |
| Jun 30, 2019 | 0.20 |
| Mar 31, 2019 | 0.18 |
| Dec 31, 2018 | 0.19 |
| Sep 30, 2018 | 0.20 |
| Jun 30, 2018 | 0.00 |
| Mar 31, 2018 | 0.00 |
API Access
Forte Biosciences Asset Utilization Ratio 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=asset-utilization-ratio&ticker=FBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();