-
1 Comment
Sotherly Hotels Inc is currently in a long term downtrend where the price is trading 8.0% below its 200 day moving average.
From a valuation standpoint, the stock is 92.9% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 0.7.
Sotherly Hotels Inc's total revenue sank by 67.1% to $15M since the same quarter in the previous year.
Its net income has increased by 99.5% to $-6K since the same quarter in the previous year.
Finally, its free cash flow grew by 261.5% to $2M since the same quarter in the previous year.
Based on the above factors, Sotherly Hotels Inc gets an overall score of 3/5.
Exchange | NASDAQ |
---|---|
CurrencyCode | USD |
ISIN | US83600C1036 |
Sector | Real Estate |
Industry | REIT - Hotel & Motel |
PE Ratio | None |
---|---|
Target Price | 1 |
Beta | 1.06 |
Market Cap | 31M |
Dividend Yield | None |
Sotherly Hotels Inc. is a self-managed and self-administered lodging REIT focused on the acquisition, renovation, upbranding and repositioning of upscale to upper-upscale full-service hotels in the Southern United States. Sotherly may also opportunistically acquire hotels throughout the United States. Currently, the Company's portfolio consists of investments in ten hotel properties, comprising 2,786 rooms, as well as interests in two condominium hotels and their associated rental programs. The Company owns hotels that operate under the Hilton Worldwide and Hyatt Hotels Corporation brands, as well as independent hotels. Sotherly Hotels Inc. was organized in 2004 and is headquartered in Williamsburg, Virginia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SOHO 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