-
1 Comment
Tianjin Printronics Circuit Corporation is currently in a long term downtrend where the price is trading 3.9% below its 200 day moving average.
From a valuation standpoint, the stock is 49.0% cheaper than other stocks from the Technology sector with a price to sales ratio of 4.1.
Tianjin Printronics Circuit Corporation's total revenue rose by 4.2% to $114M since the same quarter in the previous year.
Its net income has dropped by 288.1% to $-12M since the same quarter in the previous year.
Finally, its free cash flow fell by 325.6% to $-23M since the same quarter in the previous year.
Based on the above factors, Tianjin Printronics Circuit Corporation gets an overall score of 2/5.
| Industry | Semiconductors |
|---|---|
| Sector | Technology |
| ISIN | CNE1000000N3 |
| CurrencyCode | CNY |
| Exchange | SHE |
| Dividend Yield | 0.0% |
|---|---|
| Market Cap | 2B |
| Beta | 0.39 |
| PE Ratio | 142.86 |
| Target Price | None |
Tianjin Printronics Circuit Corporation manufactures, sells, and exports PCBs in the People's Republic of China. Its products include 1 step HDIs, 2-step HDIs, step HDIs with fine pitch, 16-layer boards, military high layer boards, power supply boards, normal boards, 10-layer rigid flex boards, rigid flex boards, and 1-side 2-layer aluminum boards. The company's products are used in various fields, such as industrial automation control, telecommunication, aviation and aerospace, automotive electronics, IT, instrument and meters, medical devices, and consumer electronics. Tianjin Printronics Circuit Corporation was founded in 1988 and is based in Tianjin, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002134.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
