Compare United Microelectronics Corp (UMC) vs Veritone Inc (VERI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
United Microelectronics Corp vs Veritone Inc — how do they compare? United Microelectronics Corp trades at $21.12 (market cap $51.00B), while Veritone Inc trades at $1.13 (market cap $97.60M). The key difference: United Microelectronics Corp is far larger — about 522.5× Veritone Inc's market cap, and United Microelectronics Corp pays a 2.03% dividend while Veritone Inc pays none. Which is the better fit depends on your goals.
| UMC | VERI | |
|---|---|---|
Market Cap | $51.00B | $97.60M |
Sector | Technology | Technology |
52-Week High | $28.02 | $8.39 |
52-Week Low | $6.58 | $1.02 |
Enterprise Value | $48.57B | $129.63M |
Dividend Yield | 2.03% | — |
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
About United Microelectronics Corp
Founded in 1980, United Microelectronics is the world's third-largest dedicated chip foundry, with 7% market share in 2021, according to Gartner, after TSMC and GlobalFoundries. UMC's headquarters are in Hsinchu, Taiwan, and it operates 12 fabs in Taiwan, Mainland China, Japan and Singapore, with additional sales offices in Europe, the U.S. and South Korea. UMC features a diverse customer base including Texas Instruments, MediaTek, Qualcomm, Broadcom, Xilinx and Realtek, supplying a wide range of products applied in communications, display, memory, automotive and more. UMC employs about 20,000 people.
Read more on UMC →About Veritone Inc
Veritone is a leading provider of enterprise AI software and solutions, centered on its proprietary AI operating system, aiWARE™. The platform orchestrates a vast ecosystem of machine learning models to transform unstructured data—such as audio, video, and text—into actionable intelligence. Serving the media, entertainment, and public sectors, Veritone is a critical infrastructure partner for organizations looking to monetize data archives and operationalize AI at scale.
Read more on VERI →
