-
1 Comment
Country Club Hospitality & Holidays Limited is currently in a long term uptrend where the price is trading 39.5% above its 200 day moving average.
From a valuation standpoint, the stock is 99.8% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 1.1.
Country Club Hospitality & Holidays Limited's total revenue sank by 55.4% to $156M since the same quarter in the previous year.
Its net income has increased by 52.5% to $-113M since the same quarter in the previous year.
Based on the above factors, Country Club Hospitality & Holidays Limited gets an overall score of 3/5.
| Exchange | NSE |
|---|---|
| CurrencyCode | INR |
| Sector | Consumer Cyclical |
| Industry | Lodging |
| ISIN | INE652F01027 |
| Market Cap | 3B |
|---|---|
| PE Ratio | 63.59 |
| Target Price | None |
| Beta | 0.31 |
| Dividend Yield | None |
Country Club Hospitality & Holidays Limited provides leisure, recreation, and hospitality membership services in India and the Middle East. The company sells vacation ownership and other related services. It also sells club ownership; and offers tour and holiday, and accommodation services, as well as training/coaching services in recreational activities relating to art, culture and sports, fitness training, and clubbing. The company was formerly known as Country Club (India) Limited and changed its name to Country Club Hospitality & Holidays Limited in December 2014. Country Club Hospitality & Holidays Limited was founded in 1989 and is headquartered in Hyderabad, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CCHHL.NSE 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
