Compare iShares Core High Dividend ETF (HDV) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
iShares Core High Dividend ETF vs Rigetti Computing Inc — how do they compare? iShares Core High Dividend ETF trades at $28.71 (market cap $14.68B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: iShares Core High Dividend ETF is far larger — about 3.1× Rigetti Computing Inc's market cap, and iShares Core High Dividend ETF 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 iShares Core High Dividend ETF for 117 Days and Rigetti Computing Inc for 35 Days on average.
| HDV | RGTI | |
|---|---|---|
Market Cap | $14.68B | $4.72B |
Volume | 2,925,562 | 17,136,381 |
52-Week High | $29.93 | $56.34 |
52-Week Low | $23.64 | $12.90 |
Typical Hold Time | 117 Days | 35 Days |
Sector | — | Technology |
Enterprise Value | — | $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
HDV (iShares Core High Dividend ETF) trades at $28.82, up 1.91% with strong bullish technical signals from moving averages and oscillators. The ETF recently underwent a significant sector rebalancing, reducing healthcare exposure while increasing energy, staples, and utilities. Current dividend yield is approximately 3% with recent quarterly payouts between $0.06-$0.10 per share. Technical indicators show RSI at 77.74 suggesting potential overbought conditions near-term.
The outlook remains positive given the ETF's sector rotation toward defensive holdings and income focus, though concentration risk has increased with 62% in three sectors. Key risks include interest rate sensitivity and sector concentration, while opportunities lie in defensive positioning during market volatility. The 3% yield provides income appeal but requires monitoring of sector allocations.
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
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About iShares Core High Dividend ETF
The fund generally will invest at least 80% of its assets in the component securities of its underlying index and in investments that have economic characteristics that are substantially identical to the component securities of its underlying index. The underlying index is comprised of qualified income paying securities that are screened for superior company quality and financial health as determined by Morningstar, Inc.'s proprietary index methodology. The fund is non-diversified.
Read more on HDV →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 →
