Compare VanEck Semiconductor ETF (SMH) vs SoundHound AI Inc (SOUN) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
VanEck Semiconductor ETF vs SoundHound AI Inc — how do they compare? VanEck Semiconductor ETF trades at $603.48 (market cap $73.92B), while SoundHound AI Inc trades at $5.39 (market cap $2.45B). The key difference: VanEck Semiconductor ETF is far larger — about 30.2× SoundHound AI Inc's market cap, and VanEck Semiconductor ETF is trading nearer its 52-week high, SoundHound AI Inc nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold VanEck Semiconductor ETF for 101 Days and SoundHound AI Inc for 23 Days on average.
| SMH | SOUN | |
|---|---|---|
Market Cap | $73.92B | $2.45B |
Volume | 11,050,892 | 16,881,989 |
52-Week High | $668.91 | $21.40 |
52-Week Low | $325.10 | $5.52 |
Typical Hold Time | 101 Days | 23 Days |
Sector | — | Technology |
Enterprise Value | — | $2.25B |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
SMH (VanEck Semiconductor ETF) trades at $603.00, down 3.52% on the day, while maintaining a bullish technical signal with strong moving average support. The ETF has delivered exceptional returns, up approximately 69% year-to-date through September 30, 2026, significantly outperforming individual semiconductor leaders like Nvidia. Recent industry developments include AMD's $8.2 billion acquisition of World Labs, expanding AI capabilities, and positive semiconductor market outlooks from major financial institutions.
The semiconductor sector shows strong momentum with Bank of America projecting the global chip market to nearly double by 2030. However, concentration risk in top holdings and potential rotation to equal-weight alternatives present challenges. The ETF's 12% pullback from recent highs offers entry opportunity, though investors should monitor sector rotation trends and geopolitical trade dynamics affecting semiconductor supply chains.
SoundHound AI (SOUN) trades at $5.395, down 4.17% today, with a bearish technical signal despite recent earnings beats. The company shows strong revenue growth ($169M in 2025, $203M projected for 2026) but deep net losses (-$14M in 2025, -$137M projected). Recent developments include expansion into banking AI agents and the OASYS Edge embedded architecture launch for vehicles and smart devices, positioning for voice AI market growth.
Outlook is mixed: analyst consensus is bullish (75% buy ratings, $9.33 target) on growth prospects, but high valuation (P/S 11.41) and persistent losses pose risks. Key opportunities include market expansion and strategic deals; risks center on profitability, integration challenges, and competitive pressures in the AI sector.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About VanEck Semiconductor ETF
The fund normally invests at least 80% of its total assets in securities that comprise the target index. The index includes common stocks and depositary receipts of US exchange-listed companies in the semiconductor industry. Such companies may include medium-capitalization companies and foreign companies that are listed on a US exchange. The fund is non-diversified.
Read more on SMH →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 →
