-
1 Comment
Suzhou Kelida Building& Decoration Co.,Ltd is currently in a long term downtrend where the price is trading 11.1% below its 200 day moving average.
From a valuation standpoint, the stock is 84.2% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.8.
Suzhou Kelida Building& Decoration Co.,Ltd's total revenue rose by 26.3% to $670M since the same quarter in the previous year.
Its net income has dropped by 12.1% to $12M since the same quarter in the previous year.
Finally, its free cash flow grew by 74.3% to $-39M since the same quarter in the previous year.
Based on the above factors, Suzhou Kelida Building& Decoration Co.,Ltd gets an overall score of 3/5.
Suzhou Kelida Building& Decoration Co.,Ltd. engages in the design and construction of building curtain walls and public building decoration projects in China. The company engages in the decoration of public buildings, such as commercial office buildings, government administrative office buildings, high-end hotels, and science, education, culture, and health facilities; construction and municipal engineering; and power facility installation activities. It also provides curtain walls; prefabricated decorations; wood products; project and property management; and engineering design and related consulting services. In addition, the company offers information technology, research and development, and consulting; smart home; and hotel management and business management consulting services. Suzhou Kelida Building& Decoration Co.,Ltd. was founded in 2000 and is based in Suzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603828.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
