Compare Hormel Foods Corp (HRL) vs Mongodb Inc (MDB) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Hormel Foods Corp vs Mongodb Inc — how do they compare? Hormel Foods Corp trades at $24.22 (market cap $13.59B), while Mongodb Inc trades at $435.46 (market cap $33.51B). The key difference: Mongodb Inc is far larger — about 2.5× Hormel Foods Corp's market cap, and Hormel Foods Corp pays a 4.74% dividend while Mongodb Inc pays none. Which is the better fit depends on your goals.
| HRL | MDB | |
|---|---|---|
Market Cap | $13.59B | $33.51B |
Sector | Consumer Staples | Technology |
52-Week High | $29.25 | $440.25 |
52-Week Low | $19.74 | $204.37 |
Enterprise Value | $15.59B | $31.12B |
Dividend Yield | 4.74% | — |
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Hormel Foods Corp
Hormel Foods is a protein-focused branded food company. Its brands include its namesake Hormel, Spam, Jennie-O, Dinty Moore, Applegate, Wholly Guacamole, and Skippy. The vast majority of the company's revenue is U.S.-based: 64% U.S. retail, 28% U.S. food service, and 8% international. By product type, in fiscal 2021, 23% of revenue was shelf-stable foods, 18% was poultry (branded and commodity), 55% was other perishable food, and 3% was other, primarily nutritional products. The company holds the number-one market position in shelf-stable meat, shelf-stable ready meals, pepperoni, natural/organic deli meat, and guacamole and the number-two position in turkey, bacon, chilled ready meals, and peanut butter.
Read more on HRL →About Mongodb Inc
Founded in 2007, MongoDB is a document-oriented database with nearly 33,000 paying customers and well past 1.5 million free users. MongoDB provides both licenses as well as subscriptions as a service for its NoSQL database. MongoDB's database is compatible with all major programming languages and is capable of being deployed for a variety of use cases.
Read more on MDB →
