Compare CleanSpark Inc (CLSK) vs Rigetti Computing Inc (RGTI) Price & Performance

CleanSpark IncTrade

Rigetti Computing IncTrade

Price performance (Past 24H)

Key statistics

CleanSpark Inc vs Rigetti Computing Inc — how do they compare? CleanSpark Inc trades at $13.34 (market cap $3.45B), while Rigetti Computing Inc trades at $14.98 (market cap $5.35B). The key difference: Rigetti Computing Inc is the larger of the two by market cap, and CleanSpark Inc is trading nearer its 52-week high, Rigetti Computing Inc nearer its low. Which is the better fit depends on your goals.

	CLSK	RGTI
Market Cap	$3.45B	$5.35B
Sector	Technology	Technology
52-Week High	$23.20	$56.34
52-Week Low	$8.18	$12.72
Enterprise Value	$4.31B	$4.94B

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Returns comparison

Trailing returns across standard periods

Top news

Latest headlines on both assets

CLSK

CleanSpark gains strong buy rating on AI-driven pivot and major HPC deal boosting growth potentialSeeking Alpha · 7 hours agoBullish CleanSpark shares jump 12% on $6.6B data center lease deal with global tech firmProactive Investors · 1 day agoBullish CleanSpark inks $6.6B 20-year lease with top tech firm, expanding data center footprint in Georgia and Texas.PRNewsWire · 1 day agoBullish View details →

RGTI

Quantum computing firm Rigetti aims for major fidelity boost by 2030 to achieve quantum advantage.Seeking Alpha · 2 days agoBullish View details →

About CleanSpark Inc

CleanSpark is a leading Bitcoin mining company that operates high-density data centers. It focuses on using sustainable energy to power its mining fleet and provides digital infrastructure for the blockchain ecosystem.

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.