-
1 Comment
Fujian Forecam Optics Co., Ltd is currently in a long term downtrend where the price is trading 3.8% below its 200 day moving average.
From a valuation standpoint, the stock is 53.6% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 7.9.
Fujian Forecam Optics Co., Ltd's total revenue sank by 25.4% to $135M since the same quarter in the previous year.
Its net income has dropped by 75.4% to $10M since the same quarter in the previous year.
Finally, its free cash flow grew by 96.5% to $-937K since the same quarter in the previous year.
Based on the above factors, Fujian Forecam Optics Co., Ltd gets an overall score of 1/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
ISIN | CNE100003MV0 |
Sector | Consumer Cyclical |
Industry | Leisure |
Market Cap | 5B |
---|---|
Beta | -0.04 |
PE Ratio | 503.83 |
Target Price | None |
Dividend Yield | None |
Fujian Forecam Optics Co., Ltd. researches, manufactures, and sells special and civilian optical lenses in the People's Republic of China. It offers surveillance series lens products, including vari-focal, fixed focal, fisheye, and block zoom lenses; automotive lens, which is used in intelligent driving assistance system, fatigue monitoring, driving record, and other applications; infrared optics; machine vision lenses; special lenses, which are used in aerospace and other technologies; and optical glasses comprising vari-focal, fixed focal, fisheye, and block zoom lenses. The company was founded in 1958 and is headquartered in Fuzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 688010.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