-
1 Comment
S-Oil Corporation is currently in a long term uptrend where the price is trading 37.3% above its 200 day moving average.
From a valuation standpoint, the stock is 39.2% cheaper than other stocks from the Energy sector with a price to sales ratio of 0.3.
S-Oil Corporation's total revenue sank by 33.9% to $4T since the same quarter in the previous year.
Its net income has increased by 154.2% to $121B since the same quarter in the previous year.
Finally, its free cash flow grew by 337.8% to $1T since the same quarter in the previous year.
Based on the above factors, S-Oil Corporation gets an overall score of 4/5.
Industry | Oil & Gas Refining & Marketing |
---|---|
ISIN | KR7010951002 |
Exchange | KO |
CurrencyCode | KRW |
Sector | Energy |
PE Ratio | None |
---|---|
Target Price | None |
Dividend Yield | 0.1% |
Market Cap | 6T |
Beta | 0.65 |
S-Oil Corporation manufacture and sell oil refining, lube, and petrochemical products in South Korea. The company offers gasoline, diesel, kerosene, jet fuel, LPG, fuel oil, and asphalt; benzene, toluene, xylene, para-xylene, propylene, methyl tert-butly ether, propylene oxide, and polypropylene; and lubricant products. It also operates facilities that produce lube base oil and petro-chemical products; crude oil refining facilities of 669,000 barrels a day; and a bunker-C cracking center that produces petroleum products. S-Oil Corporation also exports its oil products to Southeast Asia, the United States, China, Japan, Australia, Europe, and internationally. The company was incorporated in 1976 and is headquartered in Seoul, South Korea. S-Oil Corporation operates as a subsidiary of Aramco Overseas Company B.V.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 010955.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