-
1 Comment
Luxxu Group Limited is currently in a long term uptrend where the price is trading 8.7% above its 200 day moving average.
From a valuation standpoint, the stock is 89.7% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.5.
Luxxu Group Limited's total revenue rose by 111.2% to $63M since the same quarter in the previous year.
Its net income has dropped by 33.0% to $-146M since the same quarter in the previous year.
Finally, its free cash flow grew by 109.2% to $820K since the same quarter in the previous year.
Based on the above factors, Luxxu Group Limited gets an overall score of 4/5.
| Exchange | HK |
|---|---|
| CurrencyCode | HKD |
| Sector | Consumer Cyclical |
| Industry | Luxury Goods |
| ISIN | KYG5713B1059 |
| Target Price | None |
|---|---|
| Beta | -0.24 |
| PE Ratio | None |
| Market Cap | 64M |
| Dividend Yield | None |
Luxxu Group Limited, an investment holding company, manufactures, trades in, retails, and sells watches and jewelries in the People's Republic of China and Hong Kong. The company offers diamond watches, tourbillon, OEM, and third-party watches, as well as luxury jewelry accessories. It also designs and sells prestige and high-end watches, and accessories; and designs, produces, organisation of exhibitions, and assembles watches for its OEM customers. It sells its products under the LUXXU brand name. The company was formerly known as Time2u International Holding Limited and changed its name to Luxxu Group Limited in August 2019. Luxxu Group Limited was incorporated in 2012 and is based in Central, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1327.HK 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
