Compare Innovative Industrial Properties Inc (IIPR) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Innovative Industrial Properties Inc vs Rigetti Computing Inc — how do they compare? Innovative Industrial Properties Inc trades at $51.83 (market cap $1.43B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: Rigetti Computing Inc is far larger — about 3.3× Innovative Industrial Properties Inc's market cap, and Innovative Industrial Properties Inc pays a 14.64% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Innovative Industrial Properties Inc for 86 Days and Rigetti Computing Inc for 35 Days on average.
| IIPR | RGTI | |
|---|---|---|
Market Cap | $1.43B | $4.72B |
Volume | 394,222 | 17,136,381 |
Sector | Real Estate | Technology |
52-Week High | $64.67 | $56.34 |
52-Week Low | $44.58 | $12.90 |
Typical Hold Time | 86 Days | 35 Days |
Enterprise Value | $1.96B | $4.33B |
Dividend Yield | 14.64% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
IIPR trades at $51.83, up 1.17% on the day, with a bearish technical signal and mixed earnings history. The stock shows attractive valuation ratios, including a P/E of 11.75 and P/B of 0.83, but revenue declined to $265.96M in 2025. Recent news highlights a $245 million mezzanine loan commitment and a quarterly dividend of $1.90, underscoring its REIT structure and focus on cannabis real estate.
The outlook is cautious due to tenant defaults and dividend sustainability concerns, though the stock offers a high yield and potential regulatory catalysts. Risks include sector volatility and financial performance pressures, while analyst consensus leans hold with a $84.67 price target suggesting upside if operational stability improves.
RGTI trades at $14.03, down 3.84% with bearish technical signals despite bullish oscillators. The company shows minimal revenue of $7.09M (2025) with significant losses (-$216.21M net income) and negative margins. Analyst consensus remains strong with 85.71% buy ratings and $21.67 price target, while recent news highlights quantum computing sector momentum and Rigetti's hybrid quantum-HPC partnerships.
RGTI presents high-risk speculative potential with Wall Street optimism contrasting weak fundamentals. The stock offers substantial upside to analyst targets but faces execution risks in commercializing quantum technology amid persistent cash burn and competitive pressures from better-funded peers.
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
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Innovative Industrial Properties Inc
Innovative Industrial Properties Inc is a real estate investment trust engaged in the acquisition, ownership, and management of specialized industrial properties leased to state-licensed operators for their regulated medical-use cannabis facilities. It conducts its business through a traditional umbrella partnership real estate investment trust, or UPREIT structure, in which properties are owned by Operating Partnership, directly or through subsidiaries. Its property portfolio is spread across the United States.
Read more on IIPR →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 →
