-
1 Comment
KSH Holdings Limited is currently in a long term uptrend where the price is trading 9.8% above its 200 day moving average.
From a valuation standpoint, the stock is 79.9% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 1.3.
KSH Holdings Limited's total revenue sank by 0.0% to $59M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $6M since the same quarter in the previous year.
Finally, its free cash flow fell by 6.6% to $9M since the same quarter in the previous year.
Based on the above factors, KSH Holdings Limited gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | SG1W44939146 |
Sector | Industrials |
Industry | Engineering & Construction |
Market Cap | 78M |
---|---|
PE Ratio | None |
Beta | 0.27 |
Target Price | None |
Dividend Yield | 5.5% |
KSH Holdings Limited, together with its subsidiaries, engages in the construction business in Singapore and the People's Republic of China. It operates through Construction, and Property Development and Investment segments. The company operates as contractors in construction projects; and provides construction services to property developers in private and public sectors. It also develops and constructs residential, commercial, hospitality, and mixed-use development projects. In addition, the company engages in the development and sales of properties and holding of investment properties; and property management activities. KSH Holdings Limited was incorporated in 1979 and is based in Singapore.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for XEUA.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