-
1 Comment
LingNan Eco&Culture-Tourism Co.,Ltd is currently in a long term downtrend where the price is trading 13.6% below its 200 day moving average.
From a valuation standpoint, the stock is 86.2% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.7.
LingNan Eco&Culture-Tourism Co.,Ltd's total revenue rose by 0.3% to $2B since the same quarter in the previous year.
Its net income has dropped by 31.8% to $65M since the same quarter in the previous year.
Finally, its free cash flow fell by 449.7% to $-512M since the same quarter in the previous year.
Based on the above factors, LingNan Eco&Culture-Tourism Co.,Ltd gets an overall score of 2/5.
ISIN | CNE100001WD1 |
---|---|
Sector | Industrials |
Industry | Engineering & Construction |
Exchange | SHE |
CurrencyCode | CNY |
Beta | 0.98 |
---|---|
PE Ratio | None |
Target Price | 15 |
Market Cap | 4B |
Dividend Yield | None |
LingNan Eco&Culture-Tourism Co.,Ltd. engages in the planning and design, water conservancy and environment, municipal administration and gardening, cultural technology and tourism activities in China. The company undertakes planning and design, municipal and landscape engineering, and water conservancy and water environment engineering; and involved in the municipal roads and bridges, municipal water affairs, landscape and rural revitalization, etc. It also engages in the cultural tourism business. The company was formerly known as LingNan Landscape Co., Ltd. and changed its name to LingNan Eco&Culture-Tourism Co.,Ltd. in February 2018. LingNan Eco&Culture-Tourism Co.,Ltd. was founded in 1998 and is headquartered in Dongguan, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002717.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