-
1 Comment
Fujian Ideal Jewellery Industrial Co., Ltd is currently in a long term downtrend where the price is trading 13.5% below its 200 day moving average.
From a valuation standpoint, the stock is 67.0% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 1.7.
Fujian Ideal Jewellery Industrial Co., Ltd's total revenue sank by 45.7% to $402M since the same quarter in the previous year.
Its net income has dropped by 10.4% to $21M since the same quarter in the previous year.
Finally, its free cash flow grew by 50.4% to $-30M since the same quarter in the previous year.
Based on the above factors, Fujian Ideal Jewellery Industrial Co., Ltd gets an overall score of 2/5.
ISIN | CNE100001WX9 |
---|---|
Sector | Consumer Cyclical |
Industry | Luxury Goods |
Exchange | SHE |
CurrencyCode | CNY |
PE Ratio | None |
---|---|
Target Price | None |
Beta | 0.28 |
Market Cap | 173M |
Dividend Yield | None |
Fujian Ideal Jewellery Industrial Co., Ltd. designs and develops jewelry products. The company offers inlaid jewelry, finished diamonds, gold and colored gem jewelry, covering rings, necklaces, earrings, pendants, bracelets, brooches, and other categories. It sells its products under the IDEAL, CEMNI Millennium, CRAMER Diamond, and DIER ER brand names. The company was formerly known as Shenzhen Ideal Jewellery Co.,Ltd. and changed its name to Fujian Ideal Jewellery Industrial Co., Ltd. in June 2019. Fujian Ideal Jewellery Industrial Co., Ltd. was founded in 2002 and is headquartered in Longyan, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002740.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