-
1 Comment
Calavo Growers, Inc is currently in a long term downtrend where the price is trading 14.7% below its 200 day moving average.
From a valuation standpoint, the stock is 99.2% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 1.4.
Calavo Growers, Inc's total revenue sank by 19.3% to $221M since the same quarter in the previous year.
Its net income has increased by 662.6% to $5M since the same quarter in the previous year.
Finally, its free cash flow grew by 185.2% to $8M since the same quarter in the previous year.
Based on the above factors, Calavo Growers, Inc gets an overall score of 3/5.
| Sector | Consumer Defensive |
|---|---|
| Industry | Food Distribution |
| ISIN | US1282461052 |
| Exchange | NASDAQ |
| CurrencyCode | USD |
| Market Cap | 453M |
|---|---|
| PE Ratio | 22.81 |
| Target Price | 27 |
| Beta | 0.4 |
| Dividend Yield | 3.2% |
Calavo Growers, Inc. engages in the sourcing, packing, and distribution of fresh avocados, tomatoes, and papayas, as well as the processing of guacamole and other avocado products for retail grocers, club and mass-merchandise stores, foodservice operators, and wholesalers worldwide. It operates through Fresh and Prepared segments. The company provides avocados, tomatoes, and papayas, along with guacamole and avocado pulp. It offers its products under the Calavo brand, as well as the Avo Fresco, Bueno, Calavo Gold, Celebrate the Taste, El Dorado, Taste of Paradise, The First Name in Avocados, The Family of Fresh, ProRipeVIP, and RIPE NOW! trademarks. Calavo Growers, Inc. was founded in 1924 and is headquartered in Santa Paula, California.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CVGW 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