-
1 Comment
iStar Inc is currently in a long term uptrend where the price is trading 29.9% above its 200 day moving average.
From a valuation standpoint, the stock is 61.3% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 2.5.
iStar Inc's total revenue rose by 13.3% to $146M since the same quarter in the previous year.
Its net income has increased by 65.4% to $-13M since the same quarter in the previous year.
Finally, its free cash flow grew by 228.5% to $16M since the same quarter in the previous year.
Based on the above factors, iStar Inc gets an overall score of 5/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | US45031U1016 |
Sector | Real Estate |
Industry | REIT - Diversified |
Market Cap | 625M |
---|---|
PE Ratio | None |
Target Price | 32.75 |
Dividend Yield | 7.3% |
Beta | 1.28 |
iStar Inc. (NYSE: STAR) is focused on reinventing the ground lease sector, unlocking value for real estate owners throughout the country by providing modern, more efficient ground leases on all types of properties. As the founder, investment manager and largest shareholder of Safehold Inc. (NYSE: SAFE), the first publicly traded company to focus on modern ground leases, iStar is helping create a logical new approach to the way real estate is owned, and continues to use its historic strengths in finance and net lease to expand this unique platform. Recognized as a consistent innovator in the real estate markets, iStar specializes in identifying and scaling newly discovered opportunities and has completed more than $40 billion of transactions over the past two decades.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for OLZ.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