Fabrinet vs Rigetti Computing Inc — how do they compare? Fabrinet trades at $468.37 (market cap $17.44B), while Rigetti Computing Inc trades at $14.37 (market cap $5.07B). The key difference: Fabrinet is far larger — about 3.4× Rigetti Computing Inc's market cap, and Fabrinet is trading nearer its 52-week high, Rigetti Computing Inc nearer its low. Which is the better fit depends on your goals.
| FN | RGTI | |
|---|---|---|
Market Cap | $17.44B | $5.07B |
Sector | Technology | Technology |
52-Week High | $746.47 | $56.34 |
52-Week Low | $277.04 | $12.90 |
Enterprise Value | $16.50B | $4.66B |
Signals from Pluang's Aura AI — not financial advice
Fabrinet (FN) trades at $474.19, down 1.78% on the day, with a bearish technical signal despite strong fundamental performance. The stock has consistently beaten earnings estimates in recent quarters, with Q1 2026 EPS of $3.72 exceeding expectations. Analyst consensus remains strongly bullish with a $733 price target, though technical indicators show selling pressure with support at $473 and resistance at $484.
FN presents a compelling growth story driven by AI infrastructure demand, with revenue projected to grow from $3.42B to $4.2B in 2026. However, premium valuation metrics (P/E 41.81, P/B 7.57) and technical bearishness create near-term headwinds. The risk-reward favors long-term investors given the company's strategic positioning in optical communications and debt-free balance sheet.
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Trailing returns across standard periods
Latest headlines on both assets
Fabrinet provides advanced optical and electromechanical manufacturing services to original equipment manufacturers. It specializes in complex products for telecom, automotive, and medical industries.
Read more on FN →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 →