-
1 Comment
Sharda Motor Industries Limited is currently in a long term uptrend where the price is trading 83.5% above its 200 day moving average.
From a valuation standpoint, the stock is 99.8% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.9.
Sharda Motor Industries Limited's total revenue rose by 171.6% to $6B since the same quarter in the previous year.
Its net income has increased by 114.3% to $310M since the same quarter in the previous year.
Finally, its free cash flow grew by 258.3% to $541M since the same quarter in the previous year.
Based on the above factors, Sharda Motor Industries Limited gets an overall score of 5/5.
ISIN | INE597I01028 |
---|---|
Sector | Consumer Cyclical |
Exchange | NSE |
CurrencyCode | INR |
Industry | Auto Parts |
PE Ratio | 15.46 |
---|---|
Market Cap | 48B |
Target Price | None |
Dividend Yield | 0.6% |
Beta | 1.19 |
Sharda Motor Industries Limited manufactures, assembles, trades in, and sells auto components to automobiles and electronics original equipment manufacturers in India. The company offers exhaust systems for passenger vehicles, commercial vehicles, tractors, and generators; suspensions systems, such as arm lower control comp, upper arm assy, rear and front suspension, front axle assy, and assy lower link complete RH products; and roof systems. It also provides seat frames, seat covers, soft top canopies, and pressed part- white goods products, as well as catalytic convertors, independent suspension, and sheet metal components. In addition, the company offers supply chain management and procurement services. It also exports its products. Sharda Motor Industries Limited was incorporated in 1986 and is based in New Delhi, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SHARDAMOTR.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