-
1 Comment
Speciality Restaurants Limited is currently in a long term uptrend where the price is trading 58.0% 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.
Speciality Restaurants Limited's total revenue sank by 46.6% to $568M since the same quarter in the previous year.
Its net income has dropped by 166.8% to $-37M since the same quarter in the previous year.
Finally, its free cash flow fell by 126.4% to $-75M since the same quarter in the previous year.
Based on the above factors, Speciality Restaurants Limited gets an overall score of 2/5.
Exchange | NSE |
---|---|
CurrencyCode | INR |
ISIN | INE247M01014 |
Sector | Consumer Cyclical |
Industry | Restaurants |
Target Price | 82.5 |
---|---|
Dividend Yield | 0.8% |
PE Ratio | 28.97 |
Beta | -0.01 |
Market Cap | 6B |
Speciality Restaurants Limited owns and operates restaurant outlets and sweet shops in India and internationally. The company operates its restaurants under the Mainland China, Oh! Calcutta, Asia Kitchen by Mainland China, Sigree, Sigree Global Grill, Bohoba, KIX, Jungle Safari, Hoppipola, Gong - Modern Asian, Café Mezzuna, Flame & Grill, Haka, Haka " Asia Bowl, Machaan, Kaazi, Riyasat, Chourangi, and BARishh brand names. It also operates confectionaries and cafes under the Sweet Bengal and Dariole brands; and resto-bars under the Episode One brand. In addition, the company provides catering services; operates cloud kitchens; and franchises its restaurants and confectionaries stores. Speciality Restaurants Limited was founded in 1992 and is based in Mumbai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SPECIALITY.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