-
1 Comment
CHTC Helon Co., Ltd is currently in a long term uptrend where the price is trading 0.1% above its 200 day moving average.
From a valuation standpoint, the stock is 32.8% cheaper than other stocks from the Industrials sector with a price to sales ratio of 3.4.
CHTC Helon Co., Ltd's total revenue sank by 17.4% to $160M since the same quarter in the previous year.
Its net income has increased by 6.2% to $2M since the same quarter in the previous year.
Finally, its free cash flow fell by 113.7% to $-7M since the same quarter in the previous year.
Based on the above factors, CHTC Helon Co., Ltd gets an overall score of 3/5.
Exchange | SHE |
---|---|
CurrencyCode | CNY |
Sector | Industrials |
Industry | Conglomerates |
ISIN | CNE0000000J3 |
Beta | 0.16 |
---|---|
Market Cap | 4B |
PE Ratio | 90.6 |
Target Price | None |
Dividend Yield | None |
CHTC Helon Co., Ltd. researches and develops high-modulus and low-shrinkage impregnated polyester cord fabrics and canvas products in China. The company offers dipped polyester cord fabric, nylon cord fabric, polyester-nylon canvas, nylon canvas, and special canvas series including aramid canvas, transverse rigid cloth, polyester square. It also provides technology development consulting services. The company's products are used for the production of rubber tires, V-belts, conveyor belts, hoses, bulletproof clothing, military soft oil tanks, fishing nets and rubber dams, and other products. The company was formerly known as Shandong Helon Co., Ltd. and changed its name to CHTC Helon Co., Ltd. in September 2013. The company was founded in 1988 and is based in Weifang, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 000677.SHE 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