-
1 Comment
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 0.2.
Based on the above factors, Star Equity Holdings, Inc gets an overall score of 1/5.
| Exchange | NASDAQ |
|---|---|
| CurrencyCode | USD |
| Sector | Healthcare |
| Industry | Diagnostics & Research |
| ISIN | US85513Q1031 |
| Beta | 0.67 |
|---|---|
| Market Cap | 7M |
| PE Ratio | None |
| Target Price | 10 |
| Dividend Yield | None |
Star Equity Holdings, Inc., a diversified holding company, engages in the construction business in the United States. It operates through two segments, Building Solutions and Investments. The Building Solutions division manufactures modular housing units, structural wall panels, permanent wood foundation systems, and other engineered wood products for residential and commercial construction projects; and manufactures glue-laminated timber products (glulam) for various end markets and applications, including agriculture, industrial, infrastructure, and building construction under KBS, EdgeBuilder, Glenbrook, and TT brands. This segment also supplies building materials, such as lumber, windows, doors, cabinets, drywall, roofing, decking, and other building materials to professional builders, general contractors, and retail customers. The Investments division holds and manages its corporate-owned real estate assets and investments. The company was formerly known as Digirad Corporation and changed its name to Star Equity Holdings, Inc. in December 2020. Star Equity Holdings, Inc. was founded in 1985 and is headquartered in Old Greenwich, Connecticut.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for STRR 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
