-
1 Comment
Inner Mongolia First Machinery Group Co.,Ltd is currently in a long term downtrend where the price is trading 4.7% below its 200 day moving average.
From a valuation standpoint, the stock is 74.7% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 1.3.
Inner Mongolia First Machinery Group Co.,Ltd's total revenue sank by 9.2% to $2B since the same quarter in the previous year.
Its net income has increased by 4.6% to $91M since the same quarter in the previous year.
Finally, its free cash flow grew by 70.6% to $449M since the same quarter in the previous year.
Based on the above factors, Inner Mongolia First Machinery Group Co.,Ltd gets an overall score of 3/5.
| CurrencyCode | CNY |
|---|---|
| ISIN | CNE000001HP7 |
| Industry | Aerospace & Defense |
| Sector | Industrials |
| Exchange | SHG |
| PE Ratio | 20.02 |
|---|---|
| Target Price | 10.06 |
| Dividend Yield | 1.7% |
| Beta | 0.52 |
| Market Cap | 16B |
Inner Mongolia First Machinery Group Co.,Ltd. engages in the provision of military and civilian products in China. The company offers tanks, wheeled chariots, gondola, tankers, funnel cars, boxcars, flat cars, VIP cars, crawler bulldozers, energy-saving motors, and railway and heavy vehicle parts, as well as petroleum machineries, and other products. It also provides snow clearing vehicles, forestry cars and vehicles, firefighting equipment, fire trucks, and rescue tanks. The company also exports its products. Inner Mongolia First Machinery Group Co.,Ltd. was founded in 2000 and is based in Baotou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600967.SHG 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
