Compare Morgan Stanley (MS) vs SoundHound AI Inc (SOUN) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Morgan Stanley vs SoundHound AI Inc — how do they compare? Morgan Stanley trades at $188.08 (market cap $294.39B), while SoundHound AI Inc trades at $5.51 (market cap $2.45B). The key difference: Morgan Stanley is far larger — about 120.2× SoundHound AI Inc's market cap, and Morgan Stanley pays a 2.45% dividend while SoundHound AI Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Morgan Stanley for 93 Days and SoundHound AI Inc for 23 Days on average.
| MS | SOUN | |
|---|---|---|
Market Cap | $294.39B | $2.45B |
Volume | 5,836,423 | 16,881,989 |
Sector | Financials | Technology |
52-Week High | $228.42 | $21.40 |
52-Week Low | $151.86 | $5.52 |
Typical Hold Time | 93 Days | 23 Days |
Enterprise Value | $660.04B | $2.25B |
Dividend Yield | 2.45% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Morgan Stanley (MS) trades at $189.71, down 0.66% with bearish technical signals despite strong fundamentals. The company has delivered three consecutive earnings beats with Q2 2026 EPS of $3.46 beating expectations by $0.57. Revenue growth accelerated to $66.0 billion in 2025 with net income margin expanding to 27.59%. Analyst consensus remains bullish with 55.77% buy ratings and a $229.25 price target representing 21% upside potential.
The investment case balances strong profitability and growth opportunities in wealth management and AI financing against concerning cash flow trends and technical weakness. While valuation appears reasonable at 15.14 P/E, investors face risks from volatile operating cash flows and rising debt levels. The stock offers attractive upside to analyst targets but requires monitoring of capital markets recovery timing.
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.
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 Morgan Stanley
Morgan Stanley is a global investment bank whose history, through its legacy firms, can be traced back to 1924. The company has institutional securities, wealth management, and investment management segments. The company had about $5 trillion of client assets as well as over 70,000 employees at the end of 2021. Approximately 50% of the company's net revenue is from its institutional securities business, with the remainder coming from wealth and investment management. The company derives about 30% of its total revenue outside the Americas.
Read more on MS →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 →
