-
1 Comment
Hangzhou Todaytec Digital Co., Ltd is currently in a long term downtrend where the price is trading 20.7% below its 200 day moving average.
From a valuation standpoint, the stock is 36.8% cheaper than other stocks from the Industrials sector with a price to sales ratio of 3.2.
Hangzhou Todaytec Digital Co., Ltd's total revenue sank by 4.2% to $100M since the same quarter in the previous year.
Its net income has dropped by 52.1% to $5M since the same quarter in the previous year.
Finally, its free cash flow grew by 47.2% to $18M since the same quarter in the previous year.
Based on the above factors, Hangzhou Todaytec Digital Co., Ltd gets an overall score of 2/5.
ISIN | CNE100003621 |
---|---|
Sector | Industrials |
Industry | Business Equipment & Supplies |
CurrencyCode | CNY |
Exchange | SHE |
Target Price | None |
---|---|
Dividend Yield | 1.0% |
PE Ratio | 51.64 |
Market Cap | 2B |
Beta | -0.52 |
Hangzhou Todaytec Digital Co., Ltd engages in the research, development, production, and sale of thermal transfer imaging materials in China and internationally. The company offers wax ribbons, wax/resin ribbons, resin ribbons, wash care ribbons, hot stamping foils, and near-edge/TTO ribbons. Its products are used in industrial manufacturing, electrical, electronic, logistics and transportation, food, pharmaceutical and medical device, chemical, daily necessities, retail, horticulture and flower, automobile, aerospace, shoes and bags, clothing, and communication industries. The company was founded in 2002 and is based in Hangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300743.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 2024