-
1 Comment
K2 F&B Holdings Limited is currently in a long term uptrend where the price is trading 31.3% above its 200 day moving average.
From a valuation standpoint, the stock is 408.2% more expensive than other stocks from the Other sector with a price to sales ratio of 0.8.
Based on the above factors, K2 F&B Holdings Limited gets an overall score of 1/5.
Sector | Consumer Cyclical |
---|---|
Industry | Restaurants |
Exchange | HK |
CurrencyCode | HKD |
ISIN | None |
Target Price | None |
---|---|
Beta | 0.85 |
Market Cap | 176M |
PE Ratio | 11.0 |
Dividend Yield | None |
K2 F&B Holdings Limited, an investment holding company, owns and operates food centers and food street in Singapore. The company operates in two segments, Rental and Outlet Management, and Food and Beverage Stalls. The Rental and Outlet Management segment is involved in leasing of food establishment premises to tenants; and the provision of management, cleaning, and utilities services to tenants. The Food and Beverage Stalls segment engages in the retail of beverages, tobacco products, and cooked food directly to consumers, such as mixed vegetable rice, zi char, roasted meat, and chicken rice located in food establishments operated and managed by the company and third parties. It is also involved in the property holding activities. The company was formerly known as K2 Capital Investment Holdings Limited and changed its name to K2 F&B Holdings Limited in December 2018. K2 F&B Holdings Limited was founded in 2004 and is headquartered in Singapore. K2 F&B Holdings Limited is a subsidiary of Strong Oriental Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2108.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