-
1 Comment
China Outfitters Holdings Limited is currently in a long term downtrend where the price is trading 4.3% below its 200 day moving average.
From a valuation standpoint, the stock is 99.4% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.4.
Finally, its free cash flow grew by 37.8% to $29M since the same quarter in the previous year.
Based on the above factors, China Outfitters Holdings Limited gets an overall score of 2/5.
| ISIN | None |
|---|---|
| Sector | |
| Industry | |
| Exchange | F |
| CurrencyCode | EUR |
| Dividend Yield | 0.0% |
|---|---|
| Beta | 0.15 |
| Market Cap | 64M |
| PE Ratio | None |
| Target Price | None |
China Outfitters Holdings Limited, an investment holding company, designs, manufactures, markets, and sells apparels and accessories in the People's Republic of China. It offers men's casual wear, including smart casual wear, outdoor casual wear, leisure wear, and accessories under licensed and self-owned brands targeting consumers in the mid-to-high income bracket. The company also offers womenswear and accessories. Its licensed brands include Barbour, Jeep, Santa Barbara Polo & Racquet Club, Maxim's, Sideout, and Koyo Jeans; self-owned brands comprise Artful Dodger, Doright, London Fog, Zoo York, and MCS; and joint venture brands include Henry Cotton's, Marina Yachting, LINCS, and Manhattan. In addition, it develops, operates, and manages properties; and sells software products. As of December 31, 2019, the company's sales network included 543 self-operated retail points and 298 retail points operated by third-party retailers. The company was founded in 2000 and is headquartered in Shanghai, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CFO.F 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
