-
1 Comment
KTB Investment & Securities Co., Ltd is currently in a long term uptrend where the price is trading 80.0% above its 200 day moving average.
From a valuation standpoint, the stock is 19.6% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.1.
KTB Investment & Securities Co., Ltd's total revenue rose by 70.0% to $118B since the same quarter in the previous year.
Its net income has increased by 46.0% to $41B since the same quarter in the previous year.
Finally, its free cash flow grew by 49.4% to $-167B since the same quarter in the previous year.
Based on the above factors, KTB Investment & Securities Co., Ltd gets an overall score of 5/5.
| Sector | Financial Services |
|---|---|
| Industry | Capital Markets |
| Exchange | KO |
| CurrencyCode | KRW |
| ISIN | KR7030210009 |
| Dividend Yield | 4.5% |
|---|---|
| PE Ratio | None |
| Target Price | None |
| Beta | 0.7 |
| Market Cap | 205B |
Daol Investment & Securities Co., Ltd. provides various financial products and services in South Korea and internationally. The company's services include investment banking, wholesale and institutional brokerage, investment advisory, research center, FICC, individual wealth management, and retail financial services. The company was formerly known as KTB Investment & Securities Co., Ltd. and changed its name to Daol Investment & Securities Co., Ltd. in March 2022. Daol Investment & Securities Co., Ltd. was founded in 1981 and is headquartered in Seoul, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 030210.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
