Compare ASML Holding NV (ASML) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance
Price movement over the last 24 hours
Key statistics
Key statistics
ASML Holding NV vs Rigetti Computing Inc — how do they compare? ASML Holding NV trades at $1,776.5 (market cap $688.66B), while Rigetti Computing Inc trades at $16.29 (market cap $5.50B). The key difference: ASML Holding NV is far larger — about 125.2× Rigetti Computing Inc's market cap, and ASML Holding NV pays a 0.49% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals.
| ASML | RGTI | |
|---|---|---|
Market Cap | $688.66B | $5.50B |
Sector | Technology | Technology |
52-Week High | $1.99K | $56.34 |
52-Week Low | $689.63 | $12.18 |
Enterprise Value | $682.20B | $5.09B |
Dividend Yield | 0.49% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
ASML trades at $1,797.32, down 0.38% on the day, with technical indicators showing a bullish trend despite recent volatility. The company reported strong Q1 2026 earnings that beat expectations, with revenue reaching $32.67B in 2025 and net income margins of 29.71%. Analyst consensus remains strongly positive with 56.82% buy ratings and a $2,210 price target, though elevated valuation ratios (P/E 61.03) warrant caution.
ASML maintains a dominant position in advanced semiconductor equipment with robust profitability and growth prospects driven by AI infrastructure demand. Key risks include China export restrictions, competitive pressures, and high valuation multiples. The stock offers exposure to critical chip manufacturing technology but requires monitoring of earnings execution and geopolitical developments.
Rigetti Computing (RGTI) trades at $16.54, down 2.65% on the day, with a bearish technical signal despite recent earnings beats. The company shows severe financial strain with a net income margin of -2,253.59% and negative cash flow from operations of -$58.54M in 2025, though it maintains a debt-free position with $569M cash. Analyst consensus remains strongly bullish with 85.71% buy ratings and a $32.67 price target, highlighting government funding and quantum computing advancements as key catalysts.
The stock presents high-risk, high-reward potential driven by speculative quantum technology growth versus fundamental weaknesses. Near-term risks include cash burn sustainability and commercial adoption timelines, while upside hinges on execution against long-term quantum roadmaps and competitive positioning in a nascent industry.
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 ASML Holding NV
Founded in 1984 and based in the Netherlands, ASML is the leader in photolithography systems used in the manufacturing of semiconductors. Photolithography is the process in which a light source is used to expose circuit patterns from a photomask onto a semiconductor wafer. The latest technological advances in this segment allow chipmakers to continually increase the number of transistors on the same area of silicon, with lithography historically representing a meaningful portion of the cost of making cutting-edge chips. Chipmakers require next-generation EUV lithography tools from ASML to continue past the 5-nanometer process node. ASML's products are used at every major semiconductor manufacturer, including Intel, Samsung, and TSMC.
Read more on ASML →About Rigetti Computing Inc
Rigetti Computing, Inc. is a pioneer in quantum computing, focusing on developing and deploying quantum-classical computing systems. The company designs and fabricates superconducting quantum processors and integrates them with a full-stack software and control platform. Rigetti offers access to its quantum computers through the cloud, aiming to solve complex computational problems that are intractable for classical computers, with applications in finance, chemistry, and machine learning.
Read more on RGTI →
