-
1 Comment
Aecc Aviation Power Co.,Ltd is currently in a long term downtrend where the price is trading 2.7% below its 200 day moving average.
From a valuation standpoint, the stock is 24.9% cheaper than other stocks from the Industrials sector with a price to sales ratio of 3.8.
Aecc Aviation Power Co.,Ltd's total revenue rose by 6.0% to $13B since the same quarter in the previous year.
Its net income has dropped by 22.8% to $512M since the same quarter in the previous year.
Finally, its free cash flow grew by 32.4% to $12B since the same quarter in the previous year.
Based on the above factors, Aecc Aviation Power Co.,Ltd gets an overall score of 3/5.
| CurrencyCode | CNY |
|---|---|
| ISIN | CNE000000JW1 |
| Sector | Industrials |
| Industry | Aerospace & Defense |
| Exchange | SHG |
| Market Cap | 91B |
|---|---|
| PE Ratio | 126.74 |
| Target Price | 41.2 |
| Beta | 1.09 |
| Dividend Yield | None |
AECC Aviation Power Co.,Ltd researches, develops, manufactures, and sells large and medium-sized aircraft engines and gas turbine power units in China. It offers aircraft engines, gas turbine complete machines, components, maintenance and support services, and aircraft engine parts, as well as export subcontracting services; and non-aviation and other products. The company severs military and civilian markets. It also exports its products. The company was formerly known as AVIC Aviation Engine Corporation PLC and changed its name to AECC Aviation Power Co.,Ltd in March 2017. The company was founded in 1958 and is based in Xi'an, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600893.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
