Compare Bank of New York Mellon Corp (BNY) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Bank of New York Mellon Corp vs Rigetti Computing Inc — how do they compare? Bank of New York Mellon Corp trades at $159.14 (market cap $106.05B), while Rigetti Computing Inc trades at $14.94 (market cap $5.35B). The key difference: Bank of New York Mellon Corp is far larger — about 19.8× Rigetti Computing Inc's market cap, and Bank of New York Mellon Corp pays a 1.37% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals.
| BNY | RGTI | |
|---|---|---|
Market Cap | $106.05B | $5.35B |
Sector | Financials | Technology |
52-Week High | $154.50 | $56.34 |
52-Week Low | $95.16 | $12.72 |
Dividend Yield | 1.37% | — |
Enterprise Value | — | $4.94B |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
BNY trades at $151.27, down 0.43% on the day, with a bullish technical signal supported by moving averages. The company has consistently beaten earnings estimates in recent quarters, with Q2 2026 results pending. Revenue growth has been steady, rising from $16.0B in 2022 to $19.8B in 2025, while net income margin improved to 29.21%. Analyst consensus is mixed with 38% buy ratings but a $156 price target suggesting modest upside. Recent news highlights strong fee income expectations and a planned 19% dividend increase.
BNY demonstrates solid fundamental strength with improving profitability and consistent earnings beats. The stock offers potential upside to analyst targets and dividend growth, but faces risks from high investing cash outflows and competitive pressures. Current valuation metrics appear reasonable relative to historical performance, though investors should monitor Q2 earnings results for confirmation of growth trajectory.
Rigetti Computing (RGTI) trades at $15.36, down 7.13% in the last 24 hours, with a bearish technical signal but bullish oscillators. The company reported a net loss of $216.21 million in 2025, with a negative net income margin of -2,253.59%, while revenue grew to $7.09 million. Recent news highlights quantum computing interest following Quantinuum's IPO and Rigetti's infrastructure developments, including the Fab-1 facility and a 108-qubit contract.
Despite significant losses and cash burn, analyst consensus is strongly bullish with an 85.71% buy rating and a $32.67 price target, suggesting over 112% upside. Key risks include high cash burn rates, intense competition, and the long timeline to quantum advantage, requiring careful risk assessment for speculative investors.
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 Bank of New York Mellon Corp
BNY Mellon is a global investment company involved in managing and servicing financial assets throughout the investment lifecycle. The bank provides financial services for institutions, corporations, and individual investors and delivers investment management and investment services in 35 countries and more than 100 markets. BNY Mellon is the largest global custody bank in the world, with about $41.1 trillion in under custody and administration (as of Dec. 31, 2020), and can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute, or restructure investments. BNY Mellon's asset-management division manages about $2.2 trillion in assets.
Read more on BNY →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 →
