-
1 Comment
Focus Lightings Tech Co., Ltd is currently in a long term uptrend where the price is trading 35.6% above its 200 day moving average.
From a valuation standpoint, the stock is 15.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 4.3.
Focus Lightings Tech Co., Ltd's total revenue rose by 16.5% to $392M since the same quarter in the previous year.
Its net income has dropped by 56.8% to $3M since the same quarter in the previous year.
Finally, its free cash flow grew by 279.0% to $87M since the same quarter in the previous year.
Based on the above factors, Focus Lightings Tech Co., Ltd gets an overall score of 4/5.
Sector | Technology |
---|---|
Industry | Semiconductors |
Exchange | SHE |
CurrencyCode | CNY |
ISIN | CNE100003522 |
Market Cap | 8B |
---|---|
PE Ratio | 35.22 |
Target Price | 15.15 |
Dividend Yield | 1.4% |
Beta | 0.3 |
Focus Lightings Tech Co., Ltd. engages in the research and development, production, and sale of compound optoelectronic semiconductor materials in China and internationally. It offers LED epitaxial wafers and chips used for display backlighting, general lighting, and medical beauty applications. The company also provides lighting, display, and optoelectronic devices; and contract energy management services. In addition, it leases non-resident real estate properties. The company was formerly known as Jucan Optoelectronics Technology (Suzhou) Co., Ltd. Focus Lightings Tech Co., Ltd. was founded in 2010 and is headquartered in Suzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300708.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