Compare New York Times Co (NYT) vs SoundHound AI Inc (SOUN) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
New York Times Co vs SoundHound AI Inc — how do they compare? New York Times Co trades at $75.56 (market cap $12.29B), while SoundHound AI Inc trades at $6.55 (market cap $2.75B). The key difference: New York Times Co is far larger — about 4.5× SoundHound AI Inc's market cap, and New York Times Co pays a 1.21% dividend while SoundHound AI Inc pays none. Which is the better fit depends on your goals.
| NYT | SOUN | |
|---|---|---|
Market Cap | $12.29B | $2.75B |
Sector | Media | Technology |
52-Week High | $85.86 | $21.40 |
52-Week Low | $51.43 | $5.90 |
Enterprise Value | $11.68B | $2.54B |
Dividend Yield | 1.21% | — |
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
About New York Times Co
New York Times Co is an American media company known for publishing its flagship newspaper, The New York Times. The company also operates the International New York Times newspaper, as well as digital properties such as nytimes and various smartphone applications. Circulation of The New York Times is the source of revenue for the company, followed by print and digital advertising and its paid digital-only subscription to The New York Times. The company has a daily print circulation of over 500,000 and 1,000,000 on Sundays. The source of growth for The New York Times is its digital subscription service, which has over 1,000,000 paid users.
Read more on NYT →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 →
