Compare Roundhill Magnificent Seven ETF (MAGS) vs Super Micro Computer Inc (SMCI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Roundhill Magnificent Seven ETF vs Super Micro Computer Inc — how do they compare? Roundhill Magnificent Seven ETF trades at $66.71, while Super Micro Computer Inc trades at $30.25 (market cap $15.41B). The key difference: Roundhill Magnificent Seven ETF is trading nearer its 52-week high, Super Micro Computer Inc nearer its low. Which is the better fit depends on your goals.
| MAGS | SMCI | |
|---|---|---|
Sector | Sector/Thematic | Technology |
52-Week High | $70.94 | $60.71 |
52-Week Low | $55.39 | $20.53 |
Market Cap | — | $15.41B |
Enterprise Value | — | $22.93B |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
MAGS (Roundhill Magnificent Seven ETF) trades at $66.93, showing minimal daily movement with a 0.03% gain. The ETF provides equal-weighted exposure to seven mega-cap tech stocks dominating AI-driven market returns. Technical indicators show mixed signals with bullish moving averages but neutral oscillators, while support and resistance cluster tightly around $66-68. Recent performance has been volatile, with the ETF dropping from its 2026 high of $71.17 amid sector rotation concerns.
The outlook hinges on AI adoption timelines and hyperscaler profitability. While MAGS delivered 181% returns since launch, concentration risk and high expectations create vulnerability if AI profits materialize slower than anticipated. Near-term performance depends on Q2 earnings broadening beyond semiconductors to Big Tech, with Morgan Stanley noting potential pivot opportunities. Current valuation compression in hyperscalers could present entry points if AI revenue outpaces infrastructure costs.
Super Micro Computer (SMCI) trades at $23.83, down 1.41% on the day, with technical indicators showing bearish momentum despite recent positive earnings beats. The company reported strong Q1 2026 results with EPS of $0.84 beating expectations of $0.617, while preliminary Q4 guidance indicates significant margin expansion to 15-17% and over $60 billion in new orders. Valuation metrics remain attractive with P/E of 12.54 and P/S of 0.47, though cash flow trends show volatility with 2026 projections indicating operational challenges.
The outlook appears cautiously optimistic with analyst consensus price target of $36.71 representing 54% upside potential, though technical weakness and competitive pressures in AI hardware create near-term headwinds. Key risks include execution on massive order backlog, margin sustainability, and intense competition from Dell and HPE in the AI server market.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Roundhill Magnificent Seven ETF
MAGS is an ETF that provides concentrated exposure to the seven technology-focused mega-cap companies often referred to as the 'Magnificent Seven' (Alphabet, Amazon, Apple, Meta, Microsoft, NVIDIA, and Tesla). The fund is designed to capture the performance of these market-leading stocks, which have been the primary drivers of market returns. It offers a simple way for investors to invest solely in this select group of high-growth technology companies.
Read more on MAGS →About Super Micro Computer Inc
Super Micro Computer, Inc., commonly known as Supermicro, is a leading provider of high-performance and high-efficiency server technology and innovation. The company specializes in designing, manufacturing, and selling advanced server, storage, and networking solutions, primarily for data centers, cloud computing, artificial intelligence, and 5G/Edge computing markets. SMCI's modular architecture allows for the rapid delivery of customized and purpose-built solutions, making it a key player in the enterprise computing and specialized AI infrastructure space.
Read more on SMCI →
