-
1 Comment
Hangzhou XZB Tech Co.,Ltd is currently in a long term downtrend where the price is trading 11.5% below its 200 day moving average.
From a valuation standpoint, the stock is 80.8% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 9.3.
Hangzhou XZB Tech Co.,Ltd's total revenue rose by 26.5% to $103M since the same quarter in the previous year.
Its net income has increased by 33.4% to $42M since the same quarter in the previous year.
Finally, its free cash flow fell by 15.7% to $-11M since the same quarter in the previous year.
Based on the above factors, Hangzhou XZB Tech Co.,Ltd gets an overall score of 2/5.
| ISIN | CNE100002YY1 |
|---|---|
| Exchange | SHG |
| CurrencyCode | CNY |
| Industry | Auto Parts |
| Sector | Consumer Cyclical |
| Market Cap | 6B |
|---|---|
| Beta | 0.6 |
| PE Ratio | 25.68 |
| Target Price | 28 |
| Dividend Yield | None |
Hangzhou XZB Tech Co., Ltd engages in the research and development, production, and sale of precision parts in China and internationally. The company provides valve lock clips, valve spring discs, hydraulic tappets, roller rocker arms, other precision parts, etc. It also offers precision cold forming components for automobiles, motorcycles, power tools, and household appliances, machinery, military, aerospace, electric power, shipbuilding, metallurgy, petrochemical, and other industries. The company was founded in 2002 and is based in Hangzhou, China. Hangzhou XZB Tech Co., Ltd is a subsidiary of Hangzhou Zuofeng Investment Management Co., Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603040.SHG 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
