-
1 Comment
RSWM Limited is currently in a long term uptrend where the price is trading 72.1% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.2.
RSWM Limited's total revenue sank by 20.6% to $6B since the same quarter in the previous year.
Its net income has dropped by 7242.9% to $-150M since the same quarter in the previous year.
Finally, its free cash flow grew by 30.7% to $3B since the same quarter in the previous year.
Based on the above factors, RSWM Limited gets an overall score of 3/5.
Industry | Textile Manufacturing |
---|---|
Sector | Consumer Cyclical |
ISIN | INE611A01016 |
CurrencyCode | INR |
Exchange | NSE |
Dividend Yield | 9.6% |
---|---|
Target Price | 573 |
Beta | 0.56 |
PE Ratio | 3.89 |
Market Cap | 8B |
RSWM Limited operates as a textile manufacturer in India, Europe, the Middle East, Africa, South East and Far East Asia, and the Americas. It operates in two segments, Yarn and Fabric. The company offers greige yarn for weaving, knitting, sewing, and industrial applications under the ULTIMA brand name; and melange yarn that is used for undergarments, shirts, business suits, socks, and sportswear, as well as bed linen, towels, and other home fabric products. It also provides dyed yarns used for curtains, carpets, bed covers, upholstery, and other items; denim fabrics; and various functional yarns under the RSWM EDGE brand name. The company was formerly known as Rajasthan Spinning & Weaving Mills Ltd. RSWM Limited was incorporated in 1960 and is based in Noida, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for RSWM.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 2024