Archer-Daniels-Midland Co vs Applied Digital Corporation — how do they compare? Archer-Daniels-Midland Co trades at $80.75 (market cap $38.78B), while Applied Digital Corporation trades at $31.89 (market cap $8.55B). The key difference: Archer-Daniels-Midland Co is far larger — about 4.5× Applied Digital Corporation's market cap, and Archer-Daniels-Midland Co pays a 2.59% dividend while Applied Digital Corporation pays none. Which is the better fit depends on your goals.
| ADM | APLD | |
|---|---|---|
Market Cap | $38.78B | $8.55B |
Sector | Consumer Staples | Technology |
52-Week High | $87.32 | $49.65 |
52-Week Low | $56.00 | $13.89 |
Enterprise Value | $47.03B | $12.06B |
Dividend Yield | 2.59% | — |
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Applied Digital (APLD) trades at $29.06, down 0.55% on the day, with a bearish technical signal and recent earnings misses. The company reported a net loss of $231.07 million in 2025 despite revenue growth, while analyst consensus remains strongly bullish with a $72.36 price target. Recent news highlights significant AI infrastructure contracts and insider selling activity.
Outlook hinges on execution of its $36 billion AI infrastructure pipeline, but risks include high cash burn, negative margins, and rising debt. The stock offers high growth potential if operational targets are met, yet financial sustainability concerns warrant caution for investors amid volatile sentiment.
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Archer-Daniels Midland is a major processor of oilseeds, corn, wheat, and other agricultural commodities. Additionally, the company owns an extensive network of logistical assets to store and transport crops around the globe. ADM also runs a nutrition business that focuses on both human and animal ingredients. The company is also a large producer of corn-based sweeteners, starches, and ethanol.
Read more on ADM →Applied Digital provides high-performance computing (HPC) infrastructure and cloud services. It designs and operates data centers tailored for AI, machine learning, and other intensive digital workloads across North America.
Read more on APLD →