Compare Icl Group Ltd (ICL) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Icl Group Ltd vs Rigetti Computing Inc — how do they compare? Icl Group Ltd trades at $5.02 (market cap $6.47B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: Icl Group Ltd is the larger of the two by market cap, and Icl Group Ltd pays a 4.11% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Icl Group Ltd for 56 Days and Rigetti Computing Inc for 35 Days on average.
| ICL | RGTI | |
|---|---|---|
Market Cap | $6.47B | $4.72B |
Volume | 1,387,140 | 17,136,381 |
Sector | Basic Materials | Technology |
52-Week High | $6.84 | $56.34 |
52-Week Low | $4.80 | $12.90 |
Typical Hold Time | 56 Days | 35 Days |
Enterprise Value | $9.11B | $4.33B |
Dividend Yield | 4.11% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
ICL trades at $5.00, down 1.57% today, with a bearish technical signal from moving averages but a neutral oscillator stance. Recent earnings beat estimates in Q1 and Q2 2026, though revenue and net income have trended lower from 2022 peaks. The company maintains a dividend, with a $0.06 payment scheduled for September 2026, and operates with stable cash flow from operations around $1.1 billion.
The outlook is mixed: valuation ratios like P/E of 20.83 and P/S of 0.84 suggest reasonable pricing, but analyst consensus is entirely Hold with a $6.08 target. Risks include industry headwinds from higher input costs and competitive pressures, while institutional buying, like Amundi's Q1 2026 purchase, offers support. Earnings growth and cost transformation are key to upside.
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
What Pluang investors did over the last 30 days
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About Icl Group Ltd
ICL Group Ltd is a manufacturer of products based on minerals. The firm is comprised of four segments: phosphate solutions, potash, industrial products, and innovative agriculture solutions (IAS). These segments all contribute to the company's development of agriculture, food, and engineered material products and services. The company mines and manufactures potash and phosphates to be used as ingredients in fertilizers and serve as a component in the pharmaceutical and food additives industries. It is also engaged in industrial additives and materials, including flame retardants, phosphate salts, specialty phosphate blends, purified phosphoric acid, electronic-grade specialty phosphoric acids. Its geographical segments are Europe, Asia, North & South America, and the Rest of the world.
Read more on ICL →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 →
