-
1 Comment
Shenzhen AOTO Electronics Co., Ltd is currently in a long term downtrend where the price is trading 6.3% below its 200 day moving average.
From a valuation standpoint, the stock is 67.7% cheaper than other stocks from the Technology sector with a price to sales ratio of 2.6.
Shenzhen AOTO Electronics Co., Ltd's total revenue sank by 34.7% to $261M since the same quarter in the previous year.
Its net income has dropped by 84.5% to $12M since the same quarter in the previous year.
Finally, its free cash flow grew by 47.3% to $45M since the same quarter in the previous year.
Based on the above factors, Shenzhen AOTO Electronics Co., Ltd gets an overall score of 2/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE1000013V9 |
| Sector | Technology |
| Industry | Electronic Components |
| Market Cap | 3B |
|---|---|
| Beta | 0.43 |
| PE Ratio | None |
| Target Price | None |
| Dividend Yield | 1.0% |
Shenzhen AOTO Electronics Co., Ltd., together with its subsidiaries, engages in designing, manufacturing, and sale of LED application products and financial technology products in China and internationally. It offers commercial LED, creative LED, rental LED, and all in one LED displays; and ATLVC LED video control systems. The company also offers software products, which include LED player blue peacock, LED player great eagle, and LED constructor, which are used in transportation, tv studio, and digital media industries. In addition, it provides pre-sale, sale, and after sale services. The company was founded in 1993 and is headquartered in Shenzhen, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002587.SHE 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
