NWL vs SIG
As of Sep 20, 2026, Newell Brands (NWL) scores 5.3/10 and Signet Jewelers (SIG) 7.9/10 on AlphaStocks' five-model composite, so SIG scores higher.
NWL
NEWELL BRANDS INC.
5.3
Consider Buy
$5.48
SIG
SIGNET JEWELERS LTD
7.9
Strong Buy
$100.35
NWL vs SIG: Which is the Better Investment?
NEWELL BRANDS INC. (NWL) scores 5.3/10 while SIGNET JEWELERS LTD (SIG) scores 7.9/10 on AlphaStocks' composite model. SIGNET JEWELERS LTD has the higher composite rating of Strong Buy.
This comparison is algorithmically generated and is not financial advice.
| Metric | NWL | SIG |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 5.3/10 | 7.9/10▲ |
| Rating | Consider Buy | Strong Buy▲ |
| Price | $5.48 | $100.35 |
| P/E Ratio | — | 14.2 |
| ROE | -4.2% | 7.6%▲ |
| Market Cap | $2B | $4B |
| Fair Value | — | — |
| Dividend Yield | 5.6%▲ | 1.4% |
| Sector Rank | #71 of 194 | #3 of 194▲ |
| Model Verdicts | ||
| Piotroski | Neutral | Strong▲ |
| Buffett | Caution | Strong▲ |
| Graham | Neutral | Attractive▲ |
| Lynch | Attractive | Strong▲ |
| Greenblatt | Neutral | Strong▲ |
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NWL vs SIG: Which Stock Scores Higher?
NEWELL BRANDS INC. (NWL) and SIGNET JEWELERS LTD (SIG) are both in the Consumer Discretionary sector. SIG currently leads with a composite score of 7.9/10 (Strong Buy) compared to NWL's 5.3/10 (Consider Buy).
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