-
1 Comment
BGF Co., Ltd is currently in a long term uptrend where the price is trading 10.8% above its 200 day moving average.
From a valuation standpoint, the stock is 205.4% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 4.5.
BGF Co., Ltd's total revenue sank by 51.0% to $30B since the same quarter in the previous year.
Its net income has increased by 545.5% to $1B since the same quarter in the previous year.
Finally, its free cash flow fell by 1811.7% to $-4B since the same quarter in the previous year.
Based on the above factors, BGF Co., Ltd gets an overall score of 2/5.
Sector | Basic Materials |
---|---|
Industry | Specialty Chemicals |
ISIN | KR7027410000 |
Exchange | KO |
CurrencyCode | KRW |
Market Cap | 344B |
---|---|
PE Ratio | None |
Target Price | 4300 |
Beta | 1.01 |
Dividend Yield | 3.5% |
BGF Co., Ltd. engages in the courier, advertising, delivery, data processing, and e-commerce businesses in South Korea. It is also involved in retailing of food, processed foods, tobacco, processed meals, food ingredients, beverages, dairy products, alcohol, instant cooking products, quick meals, confectionery products, ice creams, breads, desserts, snacks, and non-food items. In addition, the company manufactures and sells high-performance polyester and various plastic products, as well as provides Nizi-based advertising, convenience store delivery, biz messaging, and mobile gift certificates. Further, it is involved in the logistics business, and food manufacturing and distribution. The company was founded in 1989 and is headquartered in Seoul, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 027410.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