-
1 Comment
Physicians Realty Trust is currently in a long term uptrend where the price is trading 3.0% above its 200 day moving average.
From a valuation standpoint, the stock is 10.2% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 8.9.
Physicians Realty Trust's total revenue rose by 21.2% to $126M since the same quarter in the previous year.
Its net income has dropped by 50.8% to $20M since the same quarter in the previous year.
Finally, its free cash flow fell by 27.4% to $32M since the same quarter in the previous year.
Based on the above factors, Physicians Realty Trust gets an overall score of 3/5.
Industry | REIT-Healthcare Facilities |
---|---|
CurrencyCode | USD |
ISIN | US71943U1043 |
Sector | Real Estate |
Exchange | NYSE |
Dividend Yield | 6.3% |
---|---|
PE Ratio | 31.76 |
Target Price | 16.27 |
Beta | 0.78 |
Market Cap | 4B |
Physicians Realty Trust is a self-managed healthcare real estate company organized to acquire, selectively develop, own and manage healthcare properties that are leased to physicians, hospitals and healthcare delivery systems. The Company invests in real estate that is integral to providing high quality healthcare. The Company conducts its business through an UPREIT structure in which its properties are owned by Physicians Realty L.P., a Delaware limited partnership (the "operating partnership"), directly or through limited partnerships, limited liability companies or other subsidiaries. The Company is the sole general partner of the operating partnership and, as of September 30, 2020, owned approximately 97.4% of OP Units.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for DOC 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