-
1 Comment
BlackRock Health Sciences Trust is currently in a long term uptrend where the price is trading 4.3% above its 200 day moving average.
From a valuation standpoint, the stock is 22.8% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 7.0.
BlackRock Health Sciences Trust's total revenue sank by 0.0% to $1M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $22M since the same quarter in the previous year.
Finally, its free cash flow fell by 263.6% to $-2M since the same quarter in the previous year.
Based on the above factors, BlackRock Health Sciences Trust gets an overall score of 2/5.
| Exchange | NYSE |
|---|---|
| CurrencyCode | USD |
| Sector | Financial Services |
| Industry | Asset Management |
| ISIN | US09250W1071 |
| Market Cap | 480M |
|---|---|
| PE Ratio | 22.79 |
| Target Price | None |
| Beta | 0.7 |
| Dividend Yield | 8.4% |
BlackRock Health Sciences Trust is a closed-ended equity mutual fund launched by BlackRock, Inc. The fund is managed by BlackRock Advisors, LLC. It invests in the public equity markets of the United States. The fund seeks to invest in stocks of companies operating in the health sciences and related sectors, which include businesses involved in researching, developing, producing, distributing or delivering medical, dental, optical, pharmaceutical or biotechnology products, supplies, equipment, or services. It also invests through equity derivatives, with an emphasis on option writing. The fund benchmarks the performance of its portfolio against the Russell 3000 Healthcare Index. BlackRock Health Sciences Trust was formed on March 31, 2005 and is domiciled in the United States.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BME using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025
