Compare DuPont de Nemours Inc (DD) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
DuPont de Nemours Inc vs Rigetti Computing Inc — how do they compare? DuPont de Nemours Inc trades at $130.15 (market cap $17.89B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: DuPont de Nemours Inc is far larger — about 3.8× Rigetti Computing Inc's market cap, and DuPont de Nemours Inc pays a 1.81% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold DuPont de Nemours Inc for 89 Days and Rigetti Computing Inc for 35 Days on average.
| DD | RGTI | |
|---|---|---|
Market Cap | $17.89B | $4.72B |
Volume | 816,409 | 17,136,381 |
Sector | Basic Materials | Technology |
52-Week High | $154.59 | $56.34 |
52-Week Low | $92.49 | $12.90 |
Typical Hold Time | 89 Days | 35 Days |
Enterprise Value | $19.28B | $4.33B |
Dividend Yield | 1.81% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
DuPont (DD) trades at $130.00, down 0.82% on the day, with a neutral technical signal and mixed financial trends. Recent earnings beats in Q4 2025, Q1 2026, and Q2 2026 contrast with a net loss of $779 million in 2025, though 2026 forecasts show a return to profitability. The company faces headwinds from PFAS litigation settlements and volatile cash flows, but innovation in areas like Tyvek and water technology supports long-term growth prospects.
The outlook for DD is cautiously optimistic, driven by secular growth in healthcare and water technologies, but weighed down by legal liabilities and margin pressures. Analyst consensus is bullish with a 58.54% buy rating, though the $95.00 price target suggests downside risk from current levels. Key risks include ongoing litigation costs and economic sensitivity in construction markets.
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
No sentiment data available yet.
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About DuPont de Nemours Inc
DuPont is a diversified global specialty chemicals company created in 2019 as a result of the DowDuPont merger and subsequent separations. Its portfolio includes specialty chemicals and downstream products that serve the electronics and communication, automotive, construction, safety and protection, and water management industries. DuPont benefits from the ability to produce patented specialty chemicals that command pricing power. Noteworthy products include Kevlar, Tyvek, and Nomex have evolved over time to enable a wide range of applications across multiple industries.
Read more on DD →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 →
