Fabrinet vs SentinelOne Inc. Class A Common Stock — how do they compare? Fabrinet trades at $487.86 (market cap $17.46B), while SentinelOne Inc. Class A Common Stock trades at $26.01 (market cap $8.84B). The key difference: Fabrinet is the larger of the two by market cap, and SentinelOne Inc. Class A Common Stock is trading nearer its 52-week high, Fabrinet nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold Fabrinet for 30 Days and SentinelOne Inc. Class A Common Stock for 0 Days on average.
| FN | S | |
|---|---|---|
Market Cap | $17.46B | $8.84B |
Volume | 1,199,886 | 7,515,091 |
Sector | Technology | Technology |
52-Week High | $746.47 | $25.80 |
52-Week Low | $361.94 | $11.94 |
Typical Hold Time | 30 Days | 0 Days |
Enterprise Value | $16.59B | $8.23B |
Signals from Pluang's Aura AI — not financial advice
Fabrinet (FN) trades at $486.8, down 2.25% on the day, amid a mixed technical picture with a bullish moving average signal but overbought RSI levels. Fundamentally, the company shows strong growth with Q2 2026 EPS of $4.10 beating expectations, revenue projected to rise to $4.6B in 2026, and robust profitability metrics including a 21.33% ROE. Recent news highlights surging AI data center demand driving expansion.
The outlook is positive given analyst consensus of a $769.50 price target and 75% buy ratings, though risks include customer concentration and high capital expenditures impacting cash flow. The stock offers exposure to AI infrastructure growth but requires monitoring of execution and competitive pressures.
No Aura AI signal available yet.
Trailing returns across standard periods
What Pluang investors did over the last 30 days
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 →SentinelOne provides an AI-powered cybersecurity platform for organizations. Its Singularity platform helps detect, prevent, and respond to threats across endpoints, cloud workloads, identities, and connected devices.
Read more on S →