-
1 Comment
The Bombay Dyeing and Manufacturing Company Limited is currently in a long term uptrend where the price is trading 18.3% above its 200 day moving average.
From a valuation standpoint, the stock is 90.9% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 1.5.
The Bombay Dyeing and Manufacturing Company Limited's total revenue rose by 2.3% to $4B since the same quarter in the previous year.
Its net income has dropped by 150.8% to $-825M since the same quarter in the previous year.
Finally, its free cash flow fell by 255.3% to $-230M since the same quarter in the previous year.
Based on the above factors, The Bombay Dyeing and Manufacturing Company Limited gets an overall score of 3/5.
Sector | Consumer Cyclical |
---|---|
Industry | Textile Manufacturing |
Exchange | NSE |
CurrencyCode | INR |
ISIN | INE032A01023 |
Market Cap | 34B |
---|---|
PE Ratio | 6.92 |
Target Price | None |
Dividend Yield | 0.7% |
Beta | 0.07 |
The Bombay Dyeing and Manufacturing Company Limited produces and sells polyester staple fiber products in India and internationally. The company operates through the Real Estate, Polyester, and Retail/Textile segments. The company is also involved in the manufacture of textile grade PET chips; and the retail of textiles. In addition, the company develops real estate properties, such as residences, offices, hotels, serviced apartments, hospitals, schools, and retail facilities. The Bombay Dyeing and Manufacturing Company Limited was incorporated in 1879 and is headquartered in Mumbai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BOMDYEING.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