Praxis Precision Medicines (PRAX) Preferred Stock Liabilities (2019)
Praxis Precision Medicines (PRAX) posted Preferred Stock Liabilities of $121.1 million for Q4 2019.
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Analysis
Praxis Precision Medicines (PRAX) Preferred Stock Liabilities (2019) Analysis & Trends
Praxis Precision Medicines has reported Preferred Stock Liabilities for 1 years, with the latest figure at $121.1 million in Q4 2019.
- On a quarterly basis, Preferred Stock Liabilities changed N/A year-over-year to $121.1 million in Q4 2019; TTM through Dec 2019 was $121.1 million, a N/A change from a year earlier, with the FY2019 full-year figure at $121.1 million, changed N/A from the prior year.
- Preferred Stock Liabilities was $121.1 million for Q4 2019 at Praxis Precision Medicines.
- The five-year high for Preferred Stock Liabilities was $121.1 million in Q4 2019, with the low at $121.1 million in Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Preferred Stock Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amgen | 212.54 Bn | 198.55 Bn | 7.24 Bn | - |
| 2 | Gilead Sciences | 186.84 Bn | 183.58 Bn | 6.22 Bn | - |
| 3 | Vertex Pharmaceuticals | 129.39 Bn | 121.54 Bn | 2.84 Bn | - |
| 4 | Regeneron Pharmaceuticals | 82.05 Bn | 74.06 Bn | 3.93 Bn | - |
| 5 | Moderna | 69.00 Bn | 63.87 Bn | 52.00 Mn | - |
| 6 | Argenx Se | 61.15 Bn | 55.97 Bn | 1.37 Bn | - |
| 7 | Alnylam Pharmaceuticals | 32.67 Bn | 29.37 Bn | 992.69 Mn | - |
| 8 | Biogen | 32.37 Bn | 31.08 Bn | 1.96 Bn | - |
| 9 | Roivant Sciences | 28.18 Bn | 28.87 Bn | 1.16 Mn | - |
| 10 | Praxis Precision Medicines | 8.34 Bn | 7.58 Bn | - | - |
API Access
Praxis Precision Medicines Preferred Stock Liabilities 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=preferred-stock-liabilities&ticker=PRAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-stock-liabilities", "ticker": "PRAX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=preferred-stock-liabilities&ticker=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();