-
1 Comment
MMTC Limited is currently in a long term uptrend where the price is trading 53.1% above its 200 day moving average.
From a valuation standpoint, the stock is 96.4% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.3.
MMTC Limited's total revenue sank by 0.1% to $68B since the same quarter in the previous year.
Its net income has increased by 6.8% to $-445M since the same quarter in the previous year.
Finally, its free cash flow grew by 441.3% to $28B since the same quarter in the previous year.
Based on the above factors, MMTC Limited gets an overall score of 4/5.
Exchange | NSE |
---|---|
ISIN | INE123F01029 |
CurrencyCode | INR |
Sector | Industrials |
Industry | Conglomerates |
Market Cap | 84B |
---|---|
Target Price | 1058 |
Beta | 0.91 |
PE Ratio | 54.74 |
Dividend Yield | None |
MMTC Limited operates as a trading company in Asia, Europe, Africa, the Middle East, Latin America, and North America. It operates through Minerals, Precious Metals, Metals, Agro Products, Coal & Hydrocarbon, Fertilizer, and General Trade/others segments. The company engages in the trading of agro products, coal and hydrocarbon products, fertilizers and chemicals, precious metals, non-ferrous metals, metals and industrial raw materials, minerals, and gems and jewellery, as well as involved in PMD retail; and projects and general trade activities. It also trades wind power generated by the wind farm located at Gajendragad in Karnataka. MMTC Limited was incorporated in 1963 and is based in New Delhi, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MMTC.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