-
1 Comment
Omax Autos Limited is currently in a long term uptrend where the price is trading 42.0% 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.
Omax Autos Limited's total revenue sank by 70.8% to $290M since the same quarter in the previous year.
Its net income has dropped by 441.9% to $-136M since the same quarter in the previous year.
Finally, its free cash flow fell by 131.7% to $-70M since the same quarter in the previous year.
Based on the above factors, Omax Autos Limited gets an overall score of 2/5.
Exchange | NSE |
---|---|
CurrencyCode | INR |
ISIN | INE090B01011 |
Sector | Consumer Cyclical |
Industry | Auto Parts |
PE Ratio | 5.07 |
---|---|
Target Price | None |
Dividend Yield | 2.1% |
Market Cap | 2B |
Beta | -0.23 |
Omax Autos Limited engages in the manufacture and sale of automotive components in India. It offers chassis assembly, cross members, bumpers, cross car beam sub-assemblies, fender support brackets, holding brackets for number plates and rear tail lights, rear cross members, truck frames and side rails, and sub structures for commercial vehicles. The company also provides roofs, side walls, underframes, bogie frames, vertical and horizontal dampers, stainless steel benches, bio-toilets, electric loco shells, and diesel locomotives for railways and heavy fabrication industries. In addition, the company offers frame and bus structure assemblies; and tools, fixtures, and SPM. Omax Autos Limited was incorporated in 1983 and is based in Gurugram, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for OMAXAUTO.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