Compare Hormel Foods Corp (HRL) vs VNET Group Inc (VNET) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Hormel Foods Corp vs VNET Group Inc — how do they compare? Hormel Foods Corp trades at $25.19 (market cap $13.91B), while VNET Group Inc trades at $7.7 (market cap $2.19B). The key difference: Hormel Foods Corp is far larger — about 6.4× VNET Group Inc's market cap, and Hormel Foods Corp pays a 4.63% dividend while VNET Group Inc pays none. Which is the better fit depends on your goals.
| HRL | VNET | |
|---|---|---|
Market Cap | $13.91B | $2.19B |
Sector | Consumer Staples | Technology |
52-Week High | $29.52 | $14.03 |
52-Week Low | $19.74 | $7.34 |
Enterprise Value | $15.91B | $5.32B |
Dividend Yield | 4.63% | — |
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 VNET Group Inc
VNET Group, formerly 21Vianet, is a leading carrier-neutral data center services provider in China. It operates a dual-core strategy: a large-scale retail business serving over 7,000 enterprise customers and an aggressive wholesale segment (Hyperscale 2.0) designed to meet the high-density power and cooling demands of large-scale AI and cloud platforms.
Read more on VNET →
