-
1 Comment
Air Lease Corporation is currently in a long term downtrend where the price is trading 1.1% below its 200 day moving average.
From a valuation standpoint, the stock is 82.1% cheaper than other stocks from the Industrials sector with a price to sales ratio of 2.8.
Air Lease Corporation's total revenue sank by 10.8% to $489M since the same quarter in the previous year.
Its net income has dropped by 32.6% to $111M since the same quarter in the previous year.
Finally, its free cash flow fell by 86.3% to $-804M since the same quarter in the previous year.
Based on the above factors, Air Lease Corporation gets an overall score of 1/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | US00912X3026 |
Sector | Industrials |
Industry | Rental & Leasing Services |
Beta | 1.35 |
---|---|
Market Cap | 4B |
PE Ratio | 12.81 |
Target Price | 54.57 |
Dividend Yield | 2.1% |
Air Lease Corporation, an aircraft leasing company, engages in the purchase and leasing of commercial jet aircraft to airlines in the Asia Pacific, Europe, the Middle east, Africa, Mexico, Central America, South America, the United States, and Canada. It sells aircraft from its fleet to third parties, including other leasing companies, financial services companies, airlines, and other investors. The company provides fleet management services to investors and owners of aircraft portfolios. As of December 31, 2024, it owned a fleet of 489 aircraft, including 355 narrowbody aircraft and 134 widebody aircraft. Air Lease Corporation was incorporated in 2010 and is headquartered in Los Angeles, California.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AVLA.F 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