-
1 Comment
China Kunda Technology Holdings Limited is currently in a long term downtrend where the price is trading 7.8% below its 200 day moving average.
From a valuation standpoint, the stock is 34.5% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 1.6.
China Kunda Technology Holdings Limited's total revenue rose by 57.9% to $22M since the same quarter in the previous year.
Its net income has dropped by 399.7% to $-5M since the same quarter in the previous year.
Finally, its free cash flow grew by 44.4% to $-5M since the same quarter in the previous year.
Based on the above factors, China Kunda Technology Holdings Limited gets an overall score of 3/5.
| Exchange | SG |
|---|---|
| CurrencyCode | SGD |
| ISIN | None |
| Sector | Industrials |
| Industry | Electrical Equipment & Parts |
| Market Cap | 6M |
|---|---|
| Beta | 0.12 |
| PE Ratio | None |
| Target Price | None |
| Dividend Yield | None |
China Kunda Technology Holdings Limited, an investment holding company, provides in-mold decoration and plastic injection parts in the People's Republic of China, Europe, and internationally. It offers plastic injection parts and technical services primarily used in the production of f electrical appliances and electronic devices. The company is also involved in the supply of raw materials and machinery; and provision of management services for the purposes of manufacture and sale of plastic injection parts and sale of IMD products. China Kunda Technology Holdings Limited was incorporated in 2007 and is headquartered in Shenzhen, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for GU5.SG 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
