-
1 Comment
Guangdong Shunna Electric Co., Ltd is currently in a long term downtrend where the price is trading 5.0% below its 200 day moving average.
From a valuation standpoint, the stock is 70.4% cheaper than other stocks from the Industrials sector with a price to sales ratio of 1.5.
Guangdong Shunna Electric Co., Ltd's total revenue rose by 0.8% to $412M since the same quarter in the previous year.
Its net income has increased by 4122.2% to $69M since the same quarter in the previous year.
Finally, its free cash flow fell by 55.5% to $17M since the same quarter in the previous year.
Based on the above factors, Guangdong Shunna Electric Co., Ltd gets an overall score of 3/5.
CurrencyCode | CNY |
---|---|
Exchange | SHE |
ISIN | CNE0000003T6 |
Industry | Electrical Equipment & Parts |
Sector | Industrials |
Market Cap | 4B |
---|---|
PE Ratio | 40.5 |
Target Price | None |
Beta | 0.34 |
Dividend Yield | None |
Guangdong Shunna Electric Co., Ltd. engages in the provision of power transmission and distribution equipment in China. The company offers dry-type transformers; prefabricated substations; combined transformers; liquid-immersed transformers; medium and low voltage switch cabinets; and dry-type reactors and grounding products. Its products are used in rail transit, data centers, wind power stations, hydropower stations, thermal power stations, photovoltaic energy power stations, nuclear power stations, shore power systems, ships and offshore platforms, industrial and mining enterprises, and commercial and civilian use. It was formerly known as Guangdong Macro., Ltd. The company was founded in 1992 and is based in Foshan, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 000533.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