-
1 Comment
BlackRock Municipal Income Investment Quality Trust is currently in a long term uptrend where the price is trading 61.8% above its 200 day moving average.
From a valuation standpoint, the stock is 526.6% more expensive than other stocks from the Financial Services sector with a price to sales ratio of 56.8.
BlackRock Municipal Income Investment Quality Trust's total revenue sank by 0.0% to $2M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $6M since the same quarter in the previous year.
Finally, its free cash flow grew by 1723.1% to $5M since the same quarter in the previous year.
Based on the above factors, BlackRock Municipal Income Investment Quality Trust gets an overall score of 2/5.
| Industry | Asset Management |
|---|---|
| Sector | Financial Services |
| Exchange | NYSE |
| ISIN | US09250G1022 |
| CurrencyCode | USD |
| Dividend Yield | 4.5% |
|---|---|
| PE Ratio | 66.2 |
| Beta | 0.02 |
| Target Price | None |
| Market Cap | 123M |
BlackRock Municipal Income Investment Quality Trust is a closed ended fixed income mutual fund launched by BlackRock, Inc. It is managed by BlackRock Advisors, LLC. The fund invests in fixed income markets of United States. It primarily invests in municipal bonds exempt from federal income taxes, including the alternative minimum tax and also in municipal bonds that are investment grade quality at the time of investment. The fund was formerly known as BlackRock Insured Municipal Income Investment Trust. BlackRock Municipal Income Investment Quality Trust was formed on October 31, 2002 and is domiciled in United States.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BAF 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 2024
