-
1 Comment
Gandhi Special Tubes Limited is currently in a long term uptrend where the price is trading 59.2% above its 200 day moving average.
From a valuation standpoint, the stock is 54.4% cheaper than other stocks from the Industrials sector with a price to sales ratio of 3.8.
Gandhi Special Tubes Limited's total revenue rose by 97.3% to $364M since the same quarter in the previous year.
Its net income has increased by 165.4% to $121M since the same quarter in the previous year.
Finally, its free cash flow grew by 273.5% to $166M since the same quarter in the previous year.
Based on the above factors, Gandhi Special Tubes Limited gets an overall score of 5/5.
| Exchange | NSE |
|---|---|
| CurrencyCode | INR |
| ISIN | INE524B01027 |
| Sector | Industrials |
| Industry | Metal Fabrication |
| PE Ratio | 13.74 |
|---|---|
| Target Price | None |
| Beta | 0.74 |
| Dividend Yield | 1.9% |
| Market Cap | 8B |
Gandhi Special Tubes Limited manufactures and markets welded and seamless steel tubes, and nuts in India and internationally. The company offers cold drawn bright annealed seamless steel tubes; precision electric resistance welded steel tubes; cold formed coupling nuts; and high pressure fuel injection tubes. It supplies its products primarily to the original equipment manufacturers of the automotive sector, farm equipment manufacturers, construction equipment manufacturers, and other engineering industries. The company is also involved in the wind power generation business. The company was formerly known as Gandhi Special 07 Tubes Ltd. Gandhi Special Tubes Limited was incorporated in 1985 and is based in Mumbai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for GANDHITUBE.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
