FLEX vs FN
As of Sep 20, 2026, Flex Ltd. (FLEX) scores 7.5/10 and Fabrinet (FN) 2.0/10 on AlphaStocks' five-model composite, so FLEX scores higher. FLEX trades 24% above its model fair value; FN trades 32% above its model fair value.
FLEX
FLEX LTD.
7.5
Strong Buy
$108.59
FN
Fabrinet
2.0
Avoid
$388.65
FLEX vs FN: Which is the Better Investment?
FLEX LTD. (FLEX) scores 7.5/10 while Fabrinet (FN) scores 2.0/10 on AlphaStocks' composite model. FLEX LTD. has the higher composite rating of Strong Buy. On a P/E basis, Fabrinet trades at 42.4x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | FLEX | FN |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 7.5/10▲ | 2.0/10 |
| Rating | Strong Buy▲ | Avoid |
| Price | $108.59 | $388.65 |
| P/E Ratio | 46.6 | 42.4▲ |
| ROE | 17.1%▲ | 16.2% |
| Market Cap | $41B | $14B |
| Fair Value | $87.76 | $294.17 |
| Dividend Yield | — | — |
| Sector Rank | #13 of 205▲ | #199 of 205 |
| Model Verdicts | ||
| Piotroski | Strong▲ | Neutral |
| Buffett | Strong▲ | Neutral |
| Graham | Caution | Caution |
| Lynch | Neutral | Neutral |
| Greenblatt | Caution▲ | Limited Data |
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FLEX vs FN: Which Stock Scores Higher?
FLEX LTD. (FLEX) and Fabrinet (FN) are both in the Information Technology sector. FLEX currently leads with a composite score of 7.5/10 (Strong Buy) compared to FN's 2.0/10 (Avoid).
The AlphaStocks composite score evaluates each stock across four dimensions: Quality (business strength measured by Piotroski F-Score and Buffett quality criteria), Value (discount to intrinsic worth using Graham, Lynch, and Greenblatt models), Momentum (6-month price trend), and Timing (a confirmation signal that requires both value and momentum to align). A higher composite score indicates stronger overall fundamentals combined with favorable market conditions.
This comparison uses the same scoring framework for both companies, ensuring an apples-to-apples evaluation. Scores are recalculated daily after market close using data from SEC filings and market prices. Read the full methodology to understand how each model contributes to the composite score.
Scores are algorithm-generated research tools, not investment recommendations. Past performance does not guarantee future results. Always do your own due diligence. Full disclaimer