Compare HubSpot Inc (HUBS) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
HubSpot Inc vs Rigetti Computing Inc — how do they compare? HubSpot Inc trades at $229.3 (market cap $11.56B), while Rigetti Computing Inc trades at $14.05 (market cap $4.72B). The key difference: HubSpot Inc is far larger — about 2.4× Rigetti Computing Inc's market cap, and HubSpot Inc is trading nearer its 52-week high, Rigetti Computing Inc nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold HubSpot Inc for 78 Days and Rigetti Computing Inc for 35 Days on average.
| HUBS | RGTI | |
|---|---|---|
Market Cap | $11.56B | $4.72B |
Volume | 1,891,287 | 17,136,381 |
Sector | Technology | Technology |
52-Week High | $494.58 | $56.34 |
52-Week Low | $170.39 | $12.90 |
Typical Hold Time | 78 Days | 35 Days |
Enterprise Value | $10.46B | $4.33B |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
HubSpot (HUBS) trades at $228.96, up 3.93% with strong technical momentum and bullish moving averages. The company shows accelerating revenue growth, reaching $3.13B in 2025 with net income turning positive at $45.91M. Recent analyst day highlighted AI strategy enhancements and margin expansion targets, while institutional buying and positive earnings beats support investor confidence. Technical indicators show the stock trading near pivot point resistance at $228 with RSI suggesting potential overbought conditions.
Outlook remains positive with 57% analyst buy ratings and $243.65 consensus target, though high P/E of 82.5x demands sustained growth execution. Key risks include AI competition pressure and valuation sensitivity to earnings momentum. The transition to profitability and strong cash flow generation provide fundamental support for continued upside potential.
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
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About HubSpot Inc
HubSpot provides a cloud-based marketing, sales, and customer service software platform referred to as the growth platform. The applications are available ala carte or packaged together. HubSpot's mission is to help companies grow better and has expanded from its initial focus on inbound marketing to embrace marketing, sales, and service more broadly. The company was founded in 2006, completed its initial public offering in 2014, and is headquartered in Cambridge, Massachusetts.
Read more on HUBS →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 →
