-
1 Comment
Ningbo Tianlong Electronics Co., Ltd is currently in a long term uptrend where the price is trading 9.2% above its 200 day moving average.
From a valuation standpoint, the stock is 57.2% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 2.2.
Ningbo Tianlong Electronics Co., Ltd's total revenue rose by 15.2% to $269M since the same quarter in the previous year.
Its net income has increased by 30.5% to $29M since the same quarter in the previous year.
Finally, its free cash flow fell by 76.6% to $7M since the same quarter in the previous year.
Based on the above factors, Ningbo Tianlong Electronics Co., Ltd gets an overall score of 4/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
ISIN | CNE100002ZF7 |
Sector | Consumer Cyclical |
Industry | Auto Parts |
Beta | 0.14 |
---|---|
Market Cap | 4B |
PE Ratio | 38.86 |
Target Price | None |
Dividend Yield | None |
Ningbo Tianlong Electronics Co., Ltd. engages in the production and sale of precision molds, injection molding, and automated assembly solutions in China. The company offers automotive components, such as electronic water pumps, executive motors, electronic controller systems, battery systems, and IGBT function modules; and door, engine, car light, fuel tank, heat exchange, central control instrument, and skylight systems. It also provides circuit breaker housing, junction boxes, and switch panels; and commodity mold products. The company was founded in 2000 and is based in Ningbo, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603266.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