-
1 Comment
Texmo Pipes and Products Limited is currently in a long term uptrend where the price is trading 94.8% above its 200 day moving average.
From a valuation standpoint, the stock is 97.6% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.2.
Texmo Pipes and Products Limited's total revenue rose by 65.1% to $1B since the same quarter in the previous year.
Its net income has increased by 149.1% to $32M since the same quarter in the previous year.
Based on the above factors, Texmo Pipes and Products Limited gets an overall score of 4/5.
Industry | Building Products & Equipment |
---|---|
Sector | Industrials |
ISIN | INE141K01013 |
CurrencyCode | INR |
Exchange | NSE |
Beta | 0.74 |
---|---|
PE Ratio | 24.77 |
Market Cap | 1B |
Dividend Yield | 0.0% |
Target Price | None |
Texmo Pipes and Products Limited manufactures and trades in plastic pipes and fittings in India and internationally. It provides CPVC, SWR, and plumbing pipes and fittings; submersible column pipes; rigid PVC pipes and agricultural fittings; casing pipes for tube wells; HDPE coils; PLB HDPE ducts; and HDPE sprinkler pipes and fittings. The company also offers water tanks; drip irrigation systems; suction hoses; and garden and conduit pipes, as well as solvent cement products for joining RPVC pipes and fittings under the TEXMO brand. It serves customers in government and semi government organizations, and private sector. The company was formerly known as Shree Mohit Industries and changed its name to Texmo Pipes and Products Limited in July 2008. Texmo Pipes and Products Limited was founded in 1999 and is headquartered in Burhanpur, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for TEXMOPIPES.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