Compare Koninklijke Philips NV (PHG) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Koninklijke Philips NV vs Rigetti Computing Inc — how do they compare? Koninklijke Philips NV trades at $24.24 (market cap $23.52B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: Koninklijke Philips NV is far larger — about 5× Rigetti Computing Inc's market cap, and Koninklijke Philips NV pays a 4.17% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Koninklijke Philips NV for 84 Days and Rigetti Computing Inc for 35 Days on average.
| PHG | RGTI | |
|---|---|---|
Market Cap | $23.52B | $4.72B |
Volume | 1,635,069 | 17,136,381 |
Sector | Health | Technology |
52-Week High | $32.91 | $56.34 |
52-Week Low | $23.81 | $12.90 |
Typical Hold Time | 84 Days | 35 Days |
Enterprise Value | $29.87B | $4.33B |
Dividend Yield | 4.17% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
PHG trades at $24.30, up 0.87% with a bearish technical signal despite three consecutive quarterly earnings beats. The company shows improving fundamentals with net income turning positive at $895 million in 2025 after previous losses, supported by strong operational cash flow of $1.17 billion. Recent developments include new product launches in healthcare technology and a $33.7 million ARPA-H award for AI-enabled stroke care.
While analyst consensus leans Hold (63.64%), the improving profitability trajectory and reasonable valuation (P/E 18.94) present opportunity, though technical weakness and competitive healthcare market risks require monitoring. The stock faces resistance near $25 with support at $24, with institutional ownership showing mixed signals through recent acquisitions.
RGTI trades at $14.14, down 3.08% today, amid bearish technical signals despite bullish oscillators. The company shows negative profitability with a -1,787.4% net income margin and -$216.21M net loss for 2025, though revenue grew to $13M in 2026. Recent news highlights Rigetti's hybrid quantum-HPC strategy advancements and sector momentum from IonQ's developments.
Wall Street maintains strong bullish sentiment with 6 buy ratings and a $21.67 price target, representing 53% upside. However, significant execution risks persist given negative cash flow, high valuation multiples, and intense quantum computing competition. The stock offers high-risk growth potential for investors comfortable with speculative emerging technology plays.
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
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About Koninklijke Philips NV
Philips is a diversified global healthcare company operating in three segments: diagnosis and treatment, connected care, and personal health. About 50% of the company's revenue comes from the diagnosis and treatment segment, which features imaging systems, ultrasound equipment, image-guided therapy solutions and healthcare informatics. The connected care segment (27% of revenue) encompasses monitoring and analytics systems for hospitals and sleep and respiratory care devices, whereas the personal health business (remainder of revenue) includes electric toothbrushes and men's grooming and personal-care products. In 2021, Philips generated EUR 17.2 billion in sales and had 80,000 employees in over 100 countries.
Read more on PHG →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 →
