-
1 Comment
Linde plc is currently in a long term uptrend where the price is trading 8.7% above its 200 day moving average.
From a valuation standpoint, the stock is 43.1% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 5.6.
Linde plc's total revenue rose by 2.7% to $7B since the same quarter in the previous year.
Its net income has increased by 50.7% to $770M since the same quarter in the previous year.
Finally, its free cash flow grew by 21.2% to $1B since the same quarter in the previous year.
Based on the above factors, Linde plc gets an overall score of 5/5.
ISIN | IE000S9YS762 |
---|---|
Exchange | NASDAQ |
CurrencyCode | USD |
Sector | Basic Materials |
Industry | Specialty Chemicals |
Market Cap | 214B |
---|---|
PE Ratio | 33.02 |
Target Price | 491.572 |
Dividend Yield | 1.3% |
Beta | 0.95 |
Linde plc operates as an industrial gas company in the United States, China, Germany, the United Kingdom, Australia, Mexico, Brazil, and internationally. It offers atmospheric gases, including oxygen, nitrogen, argon, and rare gases; and process gases, such as hydrogen, helium, carbon dioxide, carbon monoxide, electronic gases, specialty gases, acetylene, etc. The company also designs and constructs turnkey process plants for third-party customers, as well as for the gas businesses in various locations consist of air separation, hydrogen, synthesis, olefin, and natural gas plants. It serves a range of industries comprising healthcare, chemicals and energy, manufacturing, metals and mining, food and beverage, and electronics. Linde plc was founded in 1879 and is based in Woking, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for LIN 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