-
1 Comment
Code Chain New Continent Limited is currently in a long term downtrend where the price is trading 33.8% below its 200 day moving average.
From a valuation standpoint, the stock is 81.9% cheaper than other stocks from the Industrials sector with a price to sales ratio of 9.6.
Code Chain New Continent Limited's total revenue sank by 85.2% to $3M since the same quarter in the previous year.
Its net income has increased by 76.5% to $-4M since the same quarter in the previous year.
Finally, its free cash flow fell by 175.4% to $-2M since the same quarter in the previous year.
Based on the above factors, Code Chain New Continent Limited gets an overall score of 2/5.
| ISIN | US19200A1051 |
|---|---|
| Exchange | NASDAQ |
| CurrencyCode | USD |
| Sector | Technology |
| Industry | Software & IT Services |
| Target Price | None |
|---|---|
| Beta | 1.09 |
| Market Cap | 6M |
| PE Ratio | 43.07 |
| Dividend Yield | 0.0% |
Code Chain New Continent Limited, through its subsidiaries, focuses on research, development, and application of Internet of Things (IoT) and electronic token digital door signs. It creates digital door signs which is the digitalization of a physical store by means of animation and other technical services; and offers electronic tokens, that are used for purchasing virtual real estate properties. The company also offers Wuge Manor, a game that combines Internet of Things and e-commerce based on code chain platform that provides players with access to vendors and business owners in approximately 100 cities in China. Code Chain New Continent Limited is based in Chengdu, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CCNC 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
