ARK Fintech Innovation ETF vs SoundHound AI Inc — how do they compare? ARK Fintech Innovation ETF trades at $42.81, while SoundHound AI Inc trades at $7.4 (market cap $3.29B). The key difference: ARK Fintech Innovation ETF is trading nearer its 52-week high, SoundHound AI Inc nearer its low. Which is the better fit depends on your goals.
| ARKF | SOUN | |
|---|---|---|
Sector | Sector/Thematic | Technology |
52-Week High | $58.82 | $21.40 |
52-Week Low | $36.14 | $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.
SoundHound AI (SOUN) trades at $7.395, down 0.87% today, with a bullish technical signal and strong analyst support. Recent Q2 2026 earnings beat expectations, revenue grew 45% year-over-year to $61.9 million, and the company raised its 2026 revenue guidance, driven by its OASYS platform. However, the stock faces headwinds from negative net income margins and high cash burn.
The outlook is cautiously optimistic with 75% of analysts rating it Buy and a $8.50 consensus target, but profitability challenges and premium valuations pose risks. Key catalysts include the pending LivePerson acquisition and OASYS adoption, while execution on path to profitability remains critical for sustained upside.
Trailing returns across standard periods
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ARKF is an actively managed ETF that invests in companies leading the way in fintech innovation. Key themes include mobile payments, digital wallets, blockchain technology, and frictionless funding platforms.
Read more on ARKF →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 →