Compare Morgan Stanley (MS) vs ProShares UltraPro Short QQQ ETF (SQQQ) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Morgan Stanley vs ProShares UltraPro Short QQQ ETF — how do they compare? Morgan Stanley trades at $188.6 (market cap $297.95B), while ProShares UltraPro Short QQQ ETF trades at $32.55 (market cap $2.12B). The key difference: Morgan Stanley is far larger — about 140.5× ProShares UltraPro Short QQQ ETF's market cap, and Morgan Stanley pays a 2.42% dividend while ProShares UltraPro Short QQQ ETF pays none. Which is the better fit depends on your goals — on Pluang, investors hold Morgan Stanley for 93 Days and ProShares UltraPro Short QQQ ETF for 12 Days on average.
| MS | SQQQ | |
|---|---|---|
Market Cap | $297.95B | $2.12B |
Volume | 5,030,247 | 42,185,633 |
Sector | Financials | Leveraged / Inverse |
52-Week High | $228.42 | $89.43 |
52-Week Low | $151.86 | $31.83 |
Typical Hold Time | 93 Days | 12 Days |
Enterprise Value | $663.67B | — |
Dividend Yield | 2.42% | — |
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 $187.41, down 1.86% on the day, with a bearish technical signal but strong fundamentals including a P/E of 15.32 and net income margin of 27.59%. The stock has consistently beaten earnings estimates in recent quarters, with Q3 2026 results pending. Revenue growth is robust, rising from $50.2B in 2022 to $66.0B in 2025, and the company highlights growth opportunities in wealth management and AI financing.
The outlook is supported by a bullish analyst consensus with a $229.25 price target, though risks include volatile cash flows and rising debt-to-asset ratios. Near-term price action is testing support near $184, with investor sentiment mixed amid fading capital markets momentum but positive long-term growth narratives.
SQQQ trades at $32.08, up 0.79% with a bearish technical signal from moving averages but bullish oscillators. The ETF shows oversold conditions with RSI readings below 20, suggesting potential for short-term rebound. Recent news highlights SQQQ's role as a hedging tool against Nasdaq 100 declines, with inverse ETFs potentially benefiting from tech sector weakness.
The outlook remains highly speculative given SQQQ's 3x leveraged inverse structure. While current technical indicators suggest potential for near-term recovery, the ETF faces significant decay risks in sustained bull markets. Investors should weigh hedging benefits against the structural challenges of leveraged inverse products in volatile conditions.
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 ProShares UltraPro Short QQQ ETF
SQQQ is a leveraged inverse ETF that seeks daily investment results, before fees and expenses, that correspond to three times the inverse (-3x) of the daily performance of the Nasdaq-100 Index. It is a tactical trading tool designed for sophisticated investors to profit from or hedge against declines in large-cap technology and growth stocks. Due to its daily reset and the effects of compounding, it is intended for short-term use and carries significant risk if held during periods of high market volatility.
Read more on SQQQ →
