Fabrinet vs Vanguard Total Stock Market Index Fund ETF — how do they compare? Fabrinet trades at $459.62 (market cap $17.44B), while Vanguard Total Stock Market Index Fund ETF trades at $370.31. The key difference: Vanguard Total Stock Market Index Fund ETF is trading nearer its 52-week high, Fabrinet nearer its low. Which is the better fit depends on your goals.
| FN | VTI | |
|---|---|---|
Market Cap | $17.44B | — |
Sector | Technology | — |
52-Week High | $746.47 | $374.36 |
52-Week Low | $277.04 | $305.74 |
Enterprise Value | $16.50B | — |
Signals from Pluang's Aura AI — not financial advice
Fabrinet (FN) trades at $460.16, down 4.69% with a bearish technical signal despite strong fundamentals. The company reported consistent earnings beats with Q1 2026 EPS of $3.72 exceeding expectations, driven by 39% YoY revenue growth in optical communications. Analyst consensus remains strongly bullish with 18 buy ratings and a $733 price target, though technical indicators show selling pressure with support at $448.
The outlook remains positive given Fabrinet's strategic position in AI infrastructure and optical communications, with projected revenue growth to $4.2B in 2026. Key risks include premium valuation multiples and supply chain constraints, but the debt-free balance sheet and expanding margins support long-term growth potential in the AI-driven data center market.
No Aura AI signal available yet.
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 →The fund employs an indexing investment approach designed to track the performance of the index, which represents approximately 100% of the investable US stock market and includes large-, mid-, small-, and micro-cap stocks. It invests by sampling the index, meaning that it holds a broadly diversified collection of securities that, in the aggregate, approximates the full index in terms of key characteristics.
Read more on VTI →