-
1 Comment
Hands Form Holdings Limited is currently in a long term downtrend where the price is trading 24.6% below its 200 day moving average.
From a valuation standpoint, the stock is 68.7% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.7.
Hands Form Holdings Limited's total revenue sank by 82.5% to $98M since the same quarter in the previous year.
Its net income has dropped by 110.2% to $-4M since the same quarter in the previous year.
Finally, its free cash flow grew by 99.4% to $-284K since the same quarter in the previous year.
Based on the above factors, Hands Form Holdings Limited gets an overall score of 2/5.
Sector | Industrials |
---|---|
Exchange | HK |
ISIN | KYG4288C1015 |
Industry | Engineering & Construction |
CurrencyCode | HKD |
Target Price | None |
---|---|
PE Ratio | None |
Dividend Yield | 0.0% |
Market Cap | 97M |
Beta | 0.91 |
Hands Form Holdings Limited, an investment holding company, operates as a subcontractor in Hong Kong. The company undertakes wet trades' works, including plastering on floors, walls, and ceilings; tile laying on internal and external walls and floors; brick laying; and laying of marble tiles to the floor. It also provides other wet trades related ancillary works, such as touch-ups, chiseling, smoothing, cleaning, applying sealant, washed granolithic screed, on-site logistics services, etc. The company primarily serves main contractors and subcontractors of various building construction projects; government customers; and property developers. Hands Form Holdings Limited was founded in 1989 and is headquartered in Jordan, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1920.HK 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 2024