-
1 Comment
CITIC Heavy Industries Co., Ltd is currently in a long term downtrend where the price is trading 2.6% below its 200 day moving average.
From a valuation standpoint, the stock is 56.5% cheaper than other stocks from the Industrials sector with a price to sales ratio of 2.2.
CITIC Heavy Industries Co., Ltd's total revenue rose by 27.0% to $2B since the same quarter in the previous year.
Its net income has dropped by 138.3% to $-7M since the same quarter in the previous year.
Finally, its free cash flow grew by 107.0% to $305M since the same quarter in the previous year.
Based on the above factors, CITIC Heavy Industries Co., Ltd gets an overall score of 3/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE100001SX7 |
| Sector | Industrials |
| Industry | Specialty Industrial Machinery |
| PE Ratio | 58.0 |
|---|---|
| Target Price | 5.66 |
| Beta | 0.48 |
| Market Cap | 21B |
| Dividend Yield | None |
CITIC Heavy Industries Co., Ltd. engages in the manufacture and sale of heavy machinery in China and internationally. The company offers grinding mills; crushers; vertical stirred mills; high pressure grinding rolls; mine hoists; vertical roller mills; rotary kilns; and liners. It also provides equipment installation, testing, maintenance, refurbishing, remote monitoring and diagnosis, upgrading and retrofitting, and performance guarantee services. The company was founded in 1956 and is based in Luoyang, China. CITIC Heavy Industries Co., Ltd. is a subsidiary of CITIC Group Corporation.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 601608.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 2025
