-
| Exchange | NYSE |
|---|---|
| CurrencyCode | USD |
| ISIN | US4335391037 |
| Sector | Financial Services |
| Industry | Insurance - Property & Casualty |
| Target Price | 38.6667 |
|---|---|
| Market Cap | 672M |
| PE Ratio | 11.66 |
| Beta | 1.62 |
| Dividend Yield | None |
Hippo Holdings Inc., together with its subsidiaries, provides property and casualty insurance products to individuals and business customers primarily in the United States. The company provides a multi-carrier platform through owned and partner managing general agents (MGAs), serving as a licensed insurance carrier for MGAs and providing admitted and non-admitted (excess and surplus) paper, regulatory licenses, and reinsurance across multiple lines of business. The company also offers insurance products, including homeowners, renters, commercial multi-peril, casualty, and other specialty insurance programs. It provides homeowners insurance, general liability, commercial auto liability, and excess and umbrella liability, written through delegated authority arrangements, renters insurance, liability coverage, commercial multi-peril policies for small to mid-sized businesses, and niche personal or commercial products, as well as program-specific and corporate catastrophe reinsurance solutions. The company distributes insurance products and services through its technology platforms and website, as well as operates licensed insurance agencies. The company was formerly known as Hippo Enterprises Inc. and changed its name to Hippo Holdings Inc. in August 2021. Hippo Holdings Inc. is headquartered in San Jose, California.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for HIPO 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 2026