-
1 Comment
Tapex Co., Ltd is currently in a long term uptrend where the price is trading 22.0% above its 200 day moving average.
From a valuation standpoint, the stock is 94.7% more expensive than other stocks from the Basic Materials sector with a price to sales ratio of 2.1.
Tapex Co., Ltd's total revenue rose by 12.6% to $32B since the same quarter in the previous year.
Its net income has dropped by 22.2% to $2B since the same quarter in the previous year.
Finally, its free cash flow fell by 61.2% to $2B since the same quarter in the previous year.
Based on the above factors, Tapex Co., Ltd gets an overall score of 2/5.
| ISIN | KR7055490007 |
|---|---|
| Sector | Basic Materials |
| Industry | Specialty Chemicals |
| Exchange | KO |
| CurrencyCode | KRW |
| Beta | 0.98 |
|---|---|
| Market Cap | 67B |
| PE Ratio | None |
| Target Price | 75000 |
| Dividend Yield | 1.4% |
Tapex Co., Ltd. manufactures and sells adhesive tapes in South Korea. The company offers lightproof/heat radiations, laminating tapes, masking tapes, sealing tapes, optically clear adhesive films, and TSP tapes; household plastics wraps and restaurant supply wraps; zipper bags, paper pipes, reusable cups, insulation tapes, folding boxes, hand carts, OPP tapes, insulation tapes, and nitrile and medical gloves. The company's products are used in secondary batteries, displays, and semiconductors, food packaging, kitchenware, household and industrial products, and medical supplies. It also exports its products. The company was formerly known as Seotong Chemical Co., Ltd. Tapex Co., Ltd. was founded in 1977 and is headquartered in Suwon-si, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 055490.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
