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 $40.6 (market cap $36.07B), while Rigetti Computing Inc trades at $18.49 (market cap $6.04B). The key difference: Gold Fields Limited is far larger — about 6× Rigetti Computing Inc's market cap, and Gold Fields Limited pays a 5.76% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals.
| GFI | RGTI | |
|---|---|---|
Market Cap | $36.07B | $6.04B |
Sector | Basic Materials | Technology |
52-Week High | $61.52 | $56.34 |
52-Week Low | $29.31 | $12.90 |
Enterprise Value | $37.51B | $5.65B |
Dividend Yield | 5.76% | — |
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 $41.06, down slightly by 0.15% today. The stock shows strong fundamentals with robust profitability (40.76% net margin, 52.33% ROE) and attractive valuation (P/E 10.22, EV/EBITDA 5.92). Recent earnings were mixed with one beat and two misses, but 2025 projections indicate significant growth. Technical indicators show a bullish overall signal despite overbought RSI readings. Institutional interest remains strong with recent acquisitions by major funds.
The outlook for GFI appears positive with projected revenue growth to $8.8B and net income of $3.6B in 2025. Analyst consensus targets $52.00 (24% upside) with no sell ratings. Key risks include gold price volatility and operational challenges in mining operations. The combination of strong fundamentals, institutional support, and growth projections supports a constructive view for long-term investors.
Rigetti Computing (RGTI) trades at $18.42, up 4.36% on the day, with a bullish technical signal from moving averages but a neutral stance from oscillators. The company reported Q2 2026 revenue growth of 185% to $5.1 million, beating estimates, but posted a net loss of $0.05 per share, missing expectations. Despite heavy operating losses and negative margins, analyst sentiment remains strongly positive with 85.7% recommending Buy, driven by government backing and quantum computing potential.
The outlook for RGTI is high-risk, high-reward, offering exposure to the emerging quantum computing sector with significant government and commercial interest. However, persistent negative profitability, high cash burn, and intense competition from peers like IonQ pose substantial risks to shareholder value. Investment suitability is limited to those tolerant of speculative, early-stage company volatility.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
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 →
