-
1 Comment
Welspun Enterprises Limited is currently in a long term uptrend where the price is trading 12.0% above its 200 day moving average.
From a valuation standpoint, the stock is 85.6% cheaper than other stocks from the Industrials sector with a price to sales ratio of 1.2.
Welspun Enterprises Limited's total revenue sank by 16.1% to $4B since the same quarter in the previous year.
Its net income has increased by 46.4% to $381M since the same quarter in the previous year.
Based on the above factors, Welspun Enterprises Limited gets an overall score of 3/5.
Sector | Industrials |
---|---|
ISIN | INE625G01013 |
Industry | Engineering & Construction |
Exchange | NSE |
CurrencyCode | INR |
Dividend Yield | 0.6% |
---|---|
Market Cap | 68B |
PE Ratio | 20.71 |
Target Price | 527 |
Beta | 0.13 |
Welspun Enterprises Limited engages in the engineering, procurement, and construction of infrastructure development projects in India. The company operates through Infrastructure, and Oil and Gas segments. It develops and operates roads, water, and urban infrastructure, as well as operates and maintains projects for the transportation sector. In addition, the company is involved in the oil and gas exploration activities, as well as engages in water transmission and distribution, water, and wastewater treatment businesses. Welspun Enterprises Limited was formerly known as Welspun Projects Limited and changed its name to Welspun Enterprises Limited in May 2015. The company was incorporated in 1994 and is based in Mumbai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for WELENT.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