GLW vs LFUS
As of Sep 20, 2026, Corning (GLW) scores 4.8/10 and Littelfuse (LFUS) 5.6/10 on AlphaStocks' five-model composite, so LFUS scores higher. GLW trades 36% above its model fair value; LFUS trades 66% above its model fair value.
GLW
CORNING INC /NY
4.8
Weak
$150.11
LFUS
LITTELFUSE INC /DE
5.6
Consider Buy
$407.78
GLW vs LFUS: Which is the Better Investment?
CORNING INC /NY (GLW) scores 4.8/10 while LITTELFUSE INC /DE (LFUS) scores 5.6/10 on AlphaStocks' composite model. LITTELFUSE INC /DE has the higher composite rating of Consider Buy.
This comparison is algorithmically generated and is not financial advice.
| Metric | GLW | LFUS |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 4.8/10 | 5.6/10▲ |
| Rating | Weak | Consider Buy▲ |
| Price | $150.11 | $407.78 |
| P/E Ratio | 47.6 | — |
| ROE | 23.5%▲ | -2.8% |
| Market Cap | $131B | $10B |
| Fair Value | $110.36 | $245.45 |
| Dividend Yield | 0.6% | 0.7%▲ |
| Sector Rank | #132 of 205 | #90 of 205▲ |
| Model Verdicts | ||
| Piotroski | Attractive | Attractive |
| Buffett | Attractive▲ | Neutral |
| Graham | Caution | Neutral▲ |
| Lynch | Strong▲ | Attractive |
| Greenblatt | Caution | Neutral▲ |
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GLW vs LFUS: Which Stock Scores Higher?
CORNING INC /NY (GLW) and LITTELFUSE INC /DE (LFUS) are both in the Information Technology sector. LFUS currently leads with a composite score of 5.6/10 (Consider Buy) compared to GLW's 4.8/10 (Weak).
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