Compare Gold Fields Limited (GFI) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Gold Fields Limited vs Rigetti Computing Inc — how do they compare? Gold Fields Limited trades at $36.85 (market cap $31.87B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: Gold Fields Limited is far larger — about 6.8× Rigetti Computing Inc's market cap, and Gold Fields Limited pays a 6% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Gold Fields Limited for 49 Days and Rigetti Computing Inc for 35 Days on average.
| GFI | RGTI | |
|---|---|---|
Market Cap | $31.87B | $4.72B |
Volume | 4,169,651 | 17,136,381 |
Sector | Basic Materials | Technology |
52-Week High | $61.52 | $56.34 |
52-Week Low | $31.25 | $12.90 |
Typical Hold Time | 49 Days | 35 Days |
Enterprise Value | $32.47B | $4.33B |
Dividend Yield | 6% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Gold Fields (GFI) trades at $36.82, up 5.05% today, amid mixed technical signals with a bearish overall trend. Fundamentally, the company shows strong profitability with 38.66% net margins and robust cash flow generation of $3.77B from operations in 2025. Recent news highlights the rejected $27B Northern Star takeover bid and strong operational performance from Salares Norte, driving investor attention to the company's capital allocation strategy.
The investment outlook balances strong fundamentals against acquisition risks and technical weakness. With 44% analyst buy ratings and a $52.75 price target suggesting 43% upside, GFI presents value opportunity, though recent earnings misses and bearish technicals warrant caution. Key risks include execution on growth projects and gold price volatility.
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
About Gold Fields Limited
Gold Fields Ltd is a producer of gold and is a holder of gold reserves and resources in South Africa, Ghana, Australia and Peru. In Peru, the company also produces copper. The company is primarily involved in underground and surface gold and surface copper mining and silver and related activities, including exploration, extraction, processing and smelting. It conducts underground and surface mining operations at St. Ives, underground-only operations at Agnew, Granny Smith and South Deep and surface-only open pit mining at Damang, Tarkwa and Cerro Corona. The company's revenues are derived from the sale of gold that it produces.
Read more on GFI →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 →
