-
1 Comment
Lifestyle International Holdings Limited is currently in a long term downtrend where the price is trading 7.6% below its 200 day moving average.
From a valuation standpoint, the stock is 5.4% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 5.1.
Lifestyle International Holdings Limited's total revenue sank by 26.9% to $1B since the same quarter in the previous year.
Its net income has dropped by 39.6% to $365M since the same quarter in the previous year.
Finally, its free cash flow fell by 27.5% to $175M since the same quarter in the previous year.
Based on the above factors, Lifestyle International Holdings Limited gets an overall score of 0/5.
| Sector | Consumer Cyclical |
|---|---|
| Industry | Diversified Retail |
| Exchange | HK |
| CurrencyCode | HKD |
| ISIN | KYG548561284 |
| Market Cap | 7B |
|---|---|
| Beta | 0.33 |
| PE Ratio | 3.95 |
| Target Price | 6.3 |
| Dividend Yield | 0.0% |
Lifestyle International Holdings Limited, an investment holding company, operates mid to upper-end department stores in Hong Kong. The company operates its stores under the SOGO brand. It owns and operates two SOGO department stores that offer daily necessities and luxury products, as well as personal care services, such as beauty salons. The company is also involved in the property development, investment, holding, and leasing, as well as restaurant and club operation activities; and financial investment, advertising, and financing activities. Lifestyle International Holdings Limited was founded in 1985 and is headquartered in Causeway Bay, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1212.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
