-
1 Comment
Future Enterprises Limited is currently in a long term uptrend where the price is trading 5.3% above its 200 day moving average.
From a valuation standpoint, the stock is 99.9% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.3.
Future Enterprises Limited's total revenue sank by 68.7% to $5B since the same quarter in the previous year.
Its net income has dropped by 1840.7% to $-3B since the same quarter in the previous year.
Based on the above factors, Future Enterprises Limited gets an overall score of 2/5.
| Exchange | NSE |
|---|---|
| CurrencyCode | INR |
| ISIN | INE623B01027 |
| Industry | Department Stores |
| Sector | Consumer Cyclical |
| Market Cap | 274M |
|---|---|
| PE Ratio | None |
| Target Price | 141 |
| Beta | 0.33 |
| Dividend Yield | None |
Future Enterprises Limited, together with its subsidiaries, engages in the retail business in India. The company offers integrated and IT enabled end-to-end supply chain and logistic services, which include modern warehousing, cold chain, and express and e-commerce logistics to food and beverages, lifestyle, consumer electronics and high tech, automotive and engineering, home and furniture, healthcare, general merchandise, and e-commerce industries. It also provides out-of-home media solutions to advertisers that deal with marketers. The company was formerly known as Future Retail Limited and changed its name to Future Enterprises Limited in May 2016. The company was incorporated in 1987 and is based in Mumbai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for FEL.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 2026
