-
1 Comment
Highwoods Properties, Inc is currently in a long term uptrend where the price is trading 11.9% above its 200 day moving average.
From a valuation standpoint, the stock is 4.0% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 6.2.
Highwoods Properties, Inc's total revenue sank by 6.3% to $180M since the same quarter in the previous year.
Its net income has increased by 36.8% to $83M since the same quarter in the previous year.
Finally, its free cash flow grew by 125.4% to $83M since the same quarter in the previous year.
Based on the above factors, Highwoods Properties, Inc gets an overall score of 4/5.
ISIN | US4312841087 |
---|---|
Exchange | F |
CurrencyCode | EUR |
Industry | REIT - Office |
Sector | Real Estate |
PE Ratio | 18.86 |
---|---|
Target Price | 49.63 |
Dividend Yield | 6.7% |
Beta | 1.22 |
Market Cap | 3B |
Highwoods Properties, Inc., headquartered in Raleigh, is a publicly-traded (NYSE: HIW), fully-integrated office real estate investment trust ("REIT") that owns, develops, acquires, leases and manages properties primarily in the best business districts (BBDs) of Atlanta, Charlotte, Dallas, Nashville, Orlando, Raleigh, Richmond and Tampa. Our vision is to be a leader in the evolution of commercial real estate for the benefit of our customers, our communities and those who invest with us. Our mission is to create environments and experiences that inspire our teammates and our customers to achieve more together. We are in the work-placemaking business and believe that by creating exceptional environments and experiences, we can deliver greater value to our customers, their teammates and, in turn, our shareholders.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for HQS.F 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