-
1 Comment
Palomar Holdings, Inc is currently in a long term downtrend where the price is trading 8.9% below its 200 day moving average.
From a valuation standpoint, the stock is 14.7% more expensive than other stocks from the Financial Services sector with a price to sales ratio of 10.4.
Palomar Holdings, Inc's total revenue rose by 22.2% to $42M since the same quarter in the previous year.
Its net income has dropped by 117.0% to $-2M since the same quarter in the previous year.
Finally, its free cash flow grew by 55.6% to $9M since the same quarter in the previous year.
Based on the above factors, Palomar Holdings, Inc gets an overall score of 2/5.
| Exchange | NASDAQ |
|---|---|
| CurrencyCode | USD |
| ISIN | US69753M1053 |
| Sector | Financial Services |
| Industry | Insurance - Property & Casualty |
| Market Cap | 4B |
|---|---|
| PE Ratio | 32.85 |
| Target Price | 150.6 |
| Beta | 0.45 |
| Dividend Yield | None |
Palomar Holdings, Inc., a specialty insurance company, provides property and casualty insurance to individuals and businesses in the United States. The company offers personal and commercial specialty insurance products, including residential and commercial earthquake; fronting; and inland marine and other property products, such as Inland Marine, Hawaii Hurricane, commercial all risk, excess national property, residential flood, and other miscellaneous property products, as well as assumed reinsurance and crop insurance products. It markets and distributes its products through retail agents, wholesale brokers, program administrators, and carrier partnerships. The company was formerly known as GC Palomar Holdings and changed its name to Palomar Holdings, Inc. The company was incorporated in 2013 and is headquartered in La Jolla, California.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for PLMR 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
