-
1 Comment
Ningbo Tuopu Group Co., Ltd is currently in a long term downtrend where the price is trading 9.8% below its 200 day moving average.
From a valuation standpoint, the stock is 16.6% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 6.0.
Ningbo Tuopu Group Co., Ltd's total revenue rose by 10.3% to $2B since the same quarter in the previous year.
Its net income has increased by 44.3% to $171M since the same quarter in the previous year.
Finally, its free cash flow grew by 120.7% to $298M since the same quarter in the previous year.
Based on the above factors, Ningbo Tuopu Group Co., Ltd gets an overall score of 3/5.
Sector | Consumer Cyclical |
---|---|
Industry | Auto Parts |
Exchange | SHG |
CurrencyCode | CNY |
ISIN | CNE1000023J3 |
Beta | 0.9 |
---|---|
Market Cap | 82B |
PE Ratio | 27.4 |
Target Price | 58.85 |
Dividend Yield | None |
Ningbo Tuopu Group Co.,Ltd. engages in the research and development, production, and sale of auto parts in China and internationally. The main products include automotive NVH shock absorption systems, interior and exterior decoration systems, lightweight body, cockpit components, thermal management systems, chassis systems, air suspension systems, driving systems, shock absorption systems, interior functional parts, vehicle electronics, vibration control systems, actuator, and heat management systems. It serves international and domestic electric vehicle companies and traditional OEM car companies. The company was founded in 1983 and is headquartered in Ningbo, China. Ningbo Tuopu Group Co.,Ltd. is a subsidiary of Maike International Holdings (Hong Kong) Co., Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 601689.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