-
1 Comment
DREAMTECH Co., Ltd is currently in a long term uptrend where the price is trading 12.2% above its 200 day moving average.
From a valuation standpoint, the stock is 77.4% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.6.
DREAMTECH Co., Ltd's total revenue rose by 117.7% to $308B since the same quarter in the previous year.
Its net income has increased by 57.1% to $12B since the same quarter in the previous year.
Finally, its free cash flow fell by 209.1% to $-28B since the same quarter in the previous year.
Based on the above factors, DREAMTECH Co., Ltd gets an overall score of 4/5.
Exchange | KO |
---|---|
CurrencyCode | KRW |
Sector | Technology |
ISIN | KR7192650000 |
Industry | Electronic Components |
Dividend Yield | 3.1% |
---|---|
Target Price | None |
PE Ratio | None |
Market Cap | 432B |
Beta | 1.41 |
DREAMTECH Co., Ltd. engages in the design, development, and manufacture of modules in South Korea and internationally. It offers various PBA modules for smartphones and wearables; fingerprint sensor modules for biometric, convergence solutions, and medical systems; optical sensors for office appliances; and compact camera modules for IT devices and automotive applications. The company also engages in manufacturing various IT devices and components, such as smartphones, wireless earphones, laptops, etc. Its products are used in smartphones, fingerprint recognition, medical/healthcare devices, and convergence applications. DREAMTECH Co., Ltd. was founded in 1998 and is headquartered in Seongnam-si, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 192650.KO 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