Compare Marathon Petroleum Corp (MPC) vs SoundHound AI Inc (SOUN) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Marathon Petroleum Corp vs SoundHound AI Inc — how do they compare? Marathon Petroleum Corp trades at $318.36 (market cap $92.05B), while SoundHound AI Inc trades at $6.55 (market cap $2.75B). The key difference: Marathon Petroleum Corp is far larger — about 33.5× SoundHound AI Inc's market cap, and Marathon Petroleum Corp pays a 1.24% dividend while SoundHound AI Inc pays none. Which is the better fit depends on your goals.
| MPC | SOUN | |
|---|---|---|
Market Cap | $92.05B | $2.75B |
Sector | Energy | Technology |
52-Week High | $315.31 | $21.40 |
52-Week Low | $158.59 | $5.90 |
Enterprise Value | $124.23B | $2.54B |
Dividend Yield | 1.24% | — |
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 Marathon Petroleum Corp
Marathon Petroleum is an independent refiner with 13 refineries in the midcontinent, West Coast, and Gulf Coast of the United States with total throughput capacity of 2.9 million barrels per day. Its Dickinson, ND, facility produces 184 million gallons a year of renewable diesel. Its Martinez, CA, facility will have the ability to produce 730 million gallons a year of renewable diesel once converted. The firm also owns and operates midstream assets primarily through its listed MLP, MPLX.
Read more on MPC →About SoundHound AI Inc
SoundHound AI, Inc. is a leading innovator in voice artificial intelligence, specializing in conversational intelligence technology. The company develops a platform that allows businesses to add custom voice assistants and natural language processing capabilities to their products and services, ranging from in-car systems and smart speakers to mobile apps and IoT devices. SoundHound's core technology, including its proprietary speech recognition and natural language understanding models, aims to enable fast, accurate, and deeply integrated voice AI experiences across various industries.
Read more on SOUN →
