-
1 Comment
Markor International Home Furnishings Co., Ltd is currently in a long term downtrend where the price is trading 18.3% below its 200 day moving average.
From a valuation standpoint, the stock is 70.8% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 1.5.
Markor International Home Furnishings Co., Ltd's total revenue sank by 6.9% to $1B since the same quarter in the previous year.
Its net income has increased by 1.7% to $141M since the same quarter in the previous year.
Finally, its free cash flow grew by 341.8% to $170M since the same quarter in the previous year.
Based on the above factors, Markor International Home Furnishings Co., Ltd gets an overall score of 3/5.
| Sector | Consumer Cyclical |
|---|---|
| Industry | Furnishings, Fixtures & Appliances |
| Exchange | SHG |
| CurrencyCode | CNY |
| ISIN | CNE0000015M5 |
| Beta | 0.69 |
|---|---|
| Market Cap | 3B |
| PE Ratio | None |
| Target Price | 6.9 |
| Dividend Yield | None |
Markor International Home Furnishings Co., Ltd. engages in the production and sale of home furniture and supporting household products in China and internationally. It offers sofas, solid wood finished furniture, home accessories, sleeping products, custom cabinets, etc. It operates and franchises a retail brand network retail stores under the Markor Home Furnishings, A.R.T., A.R.T. West Side, Caracole, YVVY, Zest Home, and Rehome brands, as well as through ecommerce channels. The company was formerly known as Markor International Furniture Co., Ltd. and changed its name to Markor International Home Furnishings Co., Ltd. in July 2014. The company was founded in 1990 and is based in Urumqi, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600337.SHG 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
