-
1 Comment
Visaka Industries Limited is currently in a long term uptrend where the price is trading 57.0% above its 200 day moving average.
From a valuation standpoint, the stock is 91.6% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.7.
Visaka Industries Limited's total revenue rose by 16.3% to $3B since the same quarter in the previous year.
Its net income has increased by 275.3% to $231M since the same quarter in the previous year.
Finally, its free cash flow grew by 308.2% to $2B since the same quarter in the previous year.
Based on the above factors, Visaka Industries Limited gets an overall score of 5/5.
| ISIN | INE392A01021 |
|---|---|
| Exchange | NSE |
| CurrencyCode | INR |
| Sector | Industrials |
| Industry | Building Products & Equipment |
| Beta | -0.18 |
|---|---|
| Target Price | None |
| Dividend Yield | 0.0% |
| PE Ratio | 11.53 |
| Market Cap | 5B |
Visaka Industries Limited provides corrugated cement sheets, fibre cement boards, hybrid solar roofs, and fibre yarn in India and internationally. It operates through two segments, Building Products and Synthetic Yarn. The company provides fibre cement boards for interior and semi-exposed applications; integrated solar roofing systems; cement roofing sheets, such as close-fitting adjustable ridges, apron pieces, cladding/walling, north light ridges and curves, barge boards, serrated adjustable ridges, roof lights, corrugated cement fiber sheets, and ridge finials; and yarn. It is also involved in the trading of green and organic products. The company was incorporated in 1981 and is based in Secunderabad, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for VISAKAIND.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 2026