-
1 Comment
Sarla Performance Fibers Limited is currently in a long term uptrend where the price is trading 59.1% 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 0.9.
Sarla Performance Fibers Limited's total revenue rose by 0.3% to $804M since the same quarter in the previous year.
Its net income has increased by 12.5% to $68M since the same quarter in the previous year.
Finally, its free cash flow grew by 123.6% to $437M since the same quarter in the previous year.
Based on the above factors, Sarla Performance Fibers Limited gets an overall score of 5/5.
Exchange | NSE |
---|---|
CurrencyCode | INR |
ISIN | INE453D01025 |
Sector | Consumer Cyclical |
Industry | Textile Manufacturing |
Market Cap | 8B |
---|---|
PE Ratio | 13.78 |
Target Price | None |
Beta | 0.5 |
Dividend Yield | None |
Sarla Performance Fibers Limited, together with its subsidiaries, manufactures and sells yarns in India and internationally. It operates through two segments, Manufacturing of Yarn and Generation of Wind Power. The company offers textured polyester, textured nylon stretch, high bulk textured polyester, high tenacity, covered, and dyed yarns; and textured sewing and specialty sewing threads. It also owns 8 turbines aggregating 12.75 MW of wind power generation; and solar panels with a capacity of 1.40 MW. The company exports its products. The company was formerly known as Sarla Polyester Limited and changed its name to Sarla Performance Fibers Limited in 2006. Sarla Performance Fibers Limited was incorporated in 1993 and is based in Mumbai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SARLAPOLY.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