-
1 Comment
Vesuvius India Limited is currently in a long term uptrend where the price is trading 13.9% above its 200 day moving average.
From a valuation standpoint, the stock is 70.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 2.5.
Vesuvius India Limited's total revenue rose by 2.8% to $2B since the same quarter in the previous year.
Its net income has dropped by 28.5% to $162M since the same quarter in the previous year.
Finally, its free cash flow fell by 0.5% to $427M since the same quarter in the previous year.
Based on the above factors, Vesuvius India Limited gets an overall score of 3/5.
| Industry | Specialty Industrial Machinery |
|---|---|
| Sector | Industrials |
| ISIN | INE386A01015 |
| CurrencyCode | INR |
| Exchange | NSE |
| Beta | 0.41 |
|---|---|
| Market Cap | 34B |
| Dividend Yield | 0.5% |
| Target Price | None |
| PE Ratio | 29.56 |
Vesuvius India Limited manufactures and sells refractory products in India. The company offers monoblock stoppers, slide gate plates, ladle shrouds, collector nozzles, sub-entry nozzles, purge plugs, sub-entry shrouds, slide gate machines and machine parts, and tundish nozzles; gunning and shortcrete refractory, insulating and conventional castable, self-flow castable, ultra-low cement and low cement castable, mortars, and no cement castable products; precast shapes and taphole clay; and crucibles. It also exports its products. The company was incorporated in 1991 and is headquartered in Kolkata, India. Vesuvius India Limited is a subsidiary of Vesuvius Group Limited, United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for VESUVIUS.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
