Compare CubeSmart (CUBE) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
CubeSmart vs Rigetti Computing Inc — how do they compare? CubeSmart trades at $37.93 (market cap $8.45B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: CubeSmart is the larger of the two by market cap, and CubeSmart pays a 5.65% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold CubeSmart for 89 Days and Rigetti Computing Inc for 35 Days on average.
| CUBE | RGTI | |
|---|---|---|
Market Cap | $8.45B | $4.72B |
Volume | 2,879,532 | 17,136,381 |
Sector | Real Estate | Technology |
52-Week High | $42.50 | $56.34 |
52-Week Low | $35.36 | $12.90 |
Typical Hold Time | 89 Days | 35 Days |
Enterprise Value | $11.97B | $4.33B |
Dividend Yield | 5.65% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
CubeSmart (CUBE) trades at $37.97, up 1.99% on the day, with a bearish technical outlook as moving averages signal selling pressure. The company reported mixed Q2 2026 results, with an FFO miss but revenue beat, and maintains strong profitability with a 29.41% net income margin. Recent news highlights institutional accumulation, with firms like NewEdge Advisors and Deutsche Bank increasing stakes, while analyst consensus leans toward Hold with a $44.00 price target.
The stock offers a 5.4% dividend yield and trades below the consensus target, suggesting potential upside if operational improvements materialize. Risks include high leverage with $2.99B in long-term debt and sensitivity to real estate market cycles. Earnings growth in H2 2026 is critical for reversing the current bearish sentiment.
RGTI trades at $14.04, down 3.77% today, with a bearish technical signal despite bullish oscillators. The company shows minimal revenue of $7.09M in 2025 with a massive net loss of -$216.21M, resulting in negative profit margins. Analyst consensus is strongly bullish with 6 buy ratings and a $21.67 price target, representing 54% upside. Recent news highlights quantum computing sector momentum and Rigetti's hybrid quantum-HPC strategy with partners like HPE.
While analyst optimism and quantum computing potential offer significant upside, RGTI faces substantial execution risks with negative cash flow, high valuation multiples, and intense competition. The stock presents high-risk/high-reward potential for investors willing to tolerate volatility in exchange for quantum computing exposure, but requires careful monitoring of commercialization progress and path to profitability.
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 CubeSmart
CubeSmart is a real estate investment trust that acquires, owns, and manages self-storage facilities throughout the United States. The company's real estate portfolio is composed of buildings with numerous enclosed storage areas for both residential and commercial customers to rent mainly on a month-by-month basis. Most of CubeSmart's facilities are located in Florida, Texas, California, New York, and Illinois. Cumulatively, these states account for both the majority of the square footage in the company's real estate portfolio and the majority of its revenue. CubeSmart derives nearly all of its revenue from rental income from tenants utilizing its storage facilities.
Read more on CUBE →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 →
