-
1 Comment
V.S. International Group Limited is currently in a long term downtrend where the price is trading 18.3% below its 200 day moving average.
From a valuation standpoint, the stock is 82.7% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.6.
V.S. International Group Limited's total revenue sank by 0.0% to $121M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $-8M since the same quarter in the previous year.
Finally, its free cash flow grew by 19.9% to $41M since the same quarter in the previous year.
Based on the above factors, V.S. International Group Limited gets an overall score of 2/5.
CurrencyCode | HKD |
---|---|
ISIN | KYG939951011 |
Exchange | HK |
Sector | Basic Materials |
Industry | Specialty Chemicals |
Target Price | None |
---|---|
Market Cap | 146M |
PE Ratio | None |
Beta | -0.2 |
Dividend Yield | None |
V.S. International Group Limited, an investment holding company, manufactures, assembles, and sells plastic molded products and parts in the People's Republic of China, Hong Kong, Southeast Asia, Europe, and the United States. It operates through the Plastic Injection and Moulding, Assembling of Electronic Products, and Mould Design and Fabrication segments. The company also engages in the manufacture, assembly, and sale of electronic products, parts, and components; manufacture and sale of plastic injection molds; operation and management of rooftop solar plants; and property investment. The company was founded in 1997 and is headquartered in Central, Hong Kong. V.S. International Group Limited operates as a subsidiary of V.S. Industry Berhad.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1002.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 2025