iShares Global Tech ETF vs SoundHound AI Inc — how do they compare? iShares Global Tech ETF trades at $142.49, while SoundHound AI Inc trades at $7.31 (market cap $3.29B). The key difference: iShares Global Tech ETF is trading nearer its 52-week high, SoundHound AI Inc nearer its low. Which is the better fit depends on your goals.
| IXN | SOUN | |
|---|---|---|
Sector | Sector/Thematic | Technology |
52-Week High | $149.74 | $21.40 |
52-Week Low | $94.42 | $5.70 |
Market Cap | — | $3.29B |
Enterprise Value | — | $3.09B |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
SOUN trades at $7.35, down 1.47% on the day, with a bullish technical signal from moving averages. The company reported strong revenue growth of 45% in Q2 2026 and raised its full-year outlook, driven by its OASYS platform. However, it remains unprofitable with a net income margin of -67.45% and negative cash flow from operations. Analyst sentiment is positive with a 75% buy rating and an $8.50 consensus price target.
The outlook hinges on SOUN's ability to convert rapid revenue growth into profitability. Investment opportunity lies in market leadership in voice AI and enterprise adoption via OASYS. Key risks include persistent cash burn, high valuation multiples, and execution challenges in integrating acquisitions like LivePerson.
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IXN provides exposure to global electronics, software, and hardware companies. It tracks the S&P Global 1200 Information Technology Index, covering tech leaders across both developed and emerging markets.
Read more on IXN →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 →