Compare Nomura Holdings Inc (NMR) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Nomura Holdings Inc vs Rigetti Computing Inc — how do they compare? Nomura Holdings Inc trades at $9.49 (market cap $27.55B), while Rigetti Computing Inc trades at $14.37 (market cap $4.72B). The key difference: Nomura Holdings Inc is far larger — about 5.8× Rigetti Computing Inc's market cap, and Nomura Holdings Inc pays a 3.4% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Nomura Holdings Inc for 55 Days and Rigetti Computing Inc for 34 Days on average.
| NMR | RGTI | |
|---|---|---|
Market Cap | $27.55B | $4.72B |
Volume | 782,470 | 17,136,381 |
Sector | Financials | Technology |
52-Week High | $10.86 | $56.34 |
52-Week Low | $6.73 | $12.90 |
Typical Hold Time | 55 Days | 34 Days |
Enterprise Value | $38.54T | $4.33B |
Dividend Yield | 3.4% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Nomura Holdings (NMR) trades at $9.53, down 2.56% today amid bearish technical signals. The stock shows mixed fundamentals with strong revenue growth to $1.66T in 2025 and net income margin of 20.4%, but recent earnings misses and negative operating cash flow raise concerns. Valuation appears reasonable with P/E of 11.29 and P/B of 1.15. Analyst consensus leans cautious with 67% hold ratings despite recent Zacks strong buy recommendations.
NMR presents a value opportunity with attractive valuation multiples, though execution risks persist. The bearish technical trend and inconsistent earnings performance warrant caution. Upside potential exists if the company can sustain revenue growth and improve cash flow generation, but investors should monitor debt levels increasing to 26.25% of assets.
RGTI trades at $14.59, down 3.82% today, with a bearish technical signal despite oscillators showing some bullish momentum. The company shows minimal revenue of $7.09M in 2025 but faces substantial losses with a net income margin of -1,787.4%. Recent news highlights Rigetti's hybrid quantum-HPC strategy advancements and positive sector momentum from IonQ's developments.
Outlook remains speculative with high execution risks; analyst consensus is bullish (85.7% buy ratings) with a $21.67 price target, but persistent cash burn and negative profitability pose significant challenges. Investment opportunity hinges on quantum computing commercialization success against intense competition and funding needs.
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
About Nomura Holdings Inc
Nomura is Japan's largest broker, about twice the size of rival Daiwa Securities and roughly three times the size of the securities units of the three megabanks. It is also the largest asset-management company in Japan, with a similar size differential compared with its rivals. Despite its topnotch brand name in retail broking and asset management in Japan, Nomura has struggled to compete effectively in the institutional securities business against larger global rivals. In 2008, Nomura bought European and Asian assets of the failed Lehman Brothers, which led to a sharply higher cost base but did not provide commensurate revenue. Nomura has reduced the scale of these businesses but maintains its ambition to compete globally with the top players.
Read more on NMR →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 →
