-
1 Comment
Wheels India Limited is currently in a long term uptrend where the price is trading 24.1% above its 200 day moving average.
From a valuation standpoint, the stock is 99.9% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.5.
Wheels India Limited's total revenue rose by 10.3% to $7B since the same quarter in the previous year.
Its net income has increased by 39.4% to $121M since the same quarter in the previous year.
Finally, its free cash flow fell by 23.8% to $584M since the same quarter in the previous year.
Based on the above factors, Wheels India Limited gets an overall score of 4/5.
| ISIN | INE715A01015 |
|---|---|
| Industry | Auto Parts |
| Sector | Consumer Cyclical |
| CurrencyCode | INR |
| Exchange | NSE |
| Target Price | 982 |
|---|---|
| PE Ratio | 17.86 |
| Market Cap | 12B |
| Dividend Yield | 2.3% |
| Beta | 0.44 |
Wheels India Limited, together with its subsidiary, engages in the manufacture and sale of automotive and industrial components in India and internationally. The company offers steel wheels for use in heavy and light vehicles, as well as for agricultural applications; off-road construction wheels, wire wheels, and forged aluminum wheels; air suspension systems for buses, trucks, and trailers, as well as control and specialty products; and wind turbines and machined components for various other applications. It also provides auto structural products, such as beams, boxes, columns, auto welded and manually welded plates, and rolled sections; and fabrication services for construction and mining equipment sector. Wheels India Limited was incorporated in 1960 and is based in Chennai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for WHEELS.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
