-
1 Comment
Guangzhou Tongda Auto Electric Co., LTD is currently in a long term downtrend where the price is trading 11.5% below its 200 day moving average.
From a valuation standpoint, the stock is 59.7% cheaper than other stocks from the None sector with a price to sales ratio of 5.0.
Based on the above factors, Guangzhou Tongda Auto Electric Co., LTD gets an overall score of 1/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| ISIN | None |
| Sector | Consumer Cyclical |
| Industry | Auto Parts |
| Market Cap | 5B |
|---|---|
| Beta | 0.81 |
| PE Ratio | 72.28 |
| Target Price | None |
| Dividend Yield | 0.7% |
Guangzhou Tongda Auto Electric Co., Ltd engages in the smart transportation and mobile medical care business in China. It offers Smart Transportation, a one-stop solution for smart transportation software and hardware for commercial vehicle manufacturers and operators, and Tongda Cloud, a smart traffic management cloud platform. The company also provides an intelligent dispatching management platform, a tire full life cycle management platform, an internet of vehicles safety warning cloud platform, the TDMS video management system, a passenger flow analysis and simulation platform, an intelligent cashier management cloud platform, and other vehicle management solutions, as well as mobile medical vehicles. In addition, it offers automotive electrical products, including vehicle-mounted intelligent systems, public transportation multimedia information release systems, and new energy vehicle motors and thermal management. The company was incorporated in 1994 and is headquartered in Guangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603390.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 2026
