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Compare Nomura Holdings Inc (NMR) vs Rigetti Computing Inc (RGTI) Price & Performance

Nomura Holdings IncTrade
Rigetti Computing IncTrade

Price performance (Past 24H)

Key statistics

Nomura Holdings Inc vs Rigetti Computing Inc — how do they compare? Nomura Holdings Inc trades at $9.86 (market cap $28.46B), while Rigetti Computing Inc trades at $18.38 (market cap $6.04B). The key difference: Nomura Holdings Inc is far larger — about 4.7× Rigetti Computing Inc's market cap, and Nomura Holdings Inc pays a 3.31% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals.

NMRRGTI
Market Cap
$28.46B$6.04B
Sector
FinancialsTechnology
52-Week High
$10.04$56.34
52-Week Low
$6.73$12.90
Dividend Yield
3.31%
Enterprise Value
$5.65B

Returns comparison

Trailing returns across standard periods

Top news

Latest headlines on both assets

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