Compare SoundHound AI Inc (SOUN) vs Invesco S&P 500 High Div Low Volatility ETF (SPHD) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
SoundHound AI Inc vs Invesco S&P 500 High Div Low Volatility ETF — how do they compare? SoundHound AI Inc trades at $5.46 (market cap $2.45B), while Invesco S&P 500 High Div Low Volatility ETF trades at $48.76 (market cap $3.14B). The key difference: Invesco S&P 500 High Div Low Volatility ETF is the larger of the two by market cap, and Invesco S&P 500 High Div Low Volatility 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 SoundHound AI Inc for 23 Days and Invesco S&P 500 High Div Low Volatility ETF for 125 Days on average.
| SOUN | SPHD | |
|---|---|---|
Market Cap | $2.45B | $3.14B |
Volume | 16,881,989 | 1,461,349 |
Sector | Technology | — |
52-Week High | $21.40 | $53.55 |
52-Week Low | $5.52 | $46.96 |
Typical Hold Time | 23 Days | 125 Days |
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
SoundHound AI (SOUN) trades at $5.49, down 2.49% today, with bearish technical signals but strong analyst support. The company shows robust revenue growth with 2025 revenue of $168.92M and 2026 projected at $203M, though it remains unprofitable with a -67.45% net margin. Recent developments include expansion in restaurant and banking sectors with voice AI technology, while technical indicators show oversold conditions with RSI at 25-29.
The outlook remains speculative with significant execution risk despite 75% analyst buy ratings and a $9.33 consensus target. Key opportunities include voice AI market expansion and enterprise contract wins, while risks center on persistent losses, high valuation multiples, and competitive pressures in the AI sector.
SPHD trades at $48.72 with a 1.1% daily gain, but technical indicators show a bearish trend with moving averages signaling strong selling pressure. The ETF's monthly dividend structure provides consistent income, though recent analysis highlights underperformance compared to peers like SCHD over the past decade. Key support sits at $47 with resistance at $49.
The outlook remains cautious given bearish technical signals and competitive pressure from higher-performing dividend ETFs. While monthly dividends appeal to income-focused investors, SPHD's lack of quality screening exposes it to yield traps. Near-term performance depends on market volatility and dividend sustainability.
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 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 →About Invesco S&P 500 High Div Low Volatility ETF
The fund generally will invest at least 90% of its total assets in the securities that comprise the underlying index. Strictly in accordance with its guidelines and mandated procedures, S&P Dow Jones Indices LLC (the “index Provider”) compiles, maintains and calculates the underlying index, which is designed to measure the performance of 50 least volatile high yielding constituents of the S&P 500 ® Index in the past year.
Read more on SPHD →
