FDS vs LAZ
As of Sep 20, 2026, Factset Research Systems (FDS) scores 8.2/10 and Lazard (LAZ) 4.9/10 on AlphaStocks' five-model composite, so FDS scores higher.
FDS
FACTSET RESEARCH SYSTEMS INC
8.2
Strong Buy
$283.82
LAZ
Lazard, Inc.
4.9
Weak
$35.78
FDS vs LAZ: Which is the Better Investment?
FACTSET RESEARCH SYSTEMS INC (FDS) scores 8.2/10 while Lazard, Inc. (LAZ) scores 4.9/10 on AlphaStocks' composite model. FACTSET RESEARCH SYSTEMS INC has the higher composite rating of Strong Buy. On a P/E basis, Lazard, Inc. trades at 16.1x, making it the more attractively priced of the two.
This comparison is algorithmically generated and is not financial advice.
| Metric | FDS | LAZ |
|---|---|---|
| Scores & Fundamentals | ||
| Composite Score | 8.2/10▲ | 4.9/10 |
| Rating | Strong Buy▲ | Weak |
| Price | $283.82 | $35.78 |
| P/E Ratio | 18.3 | 16.1▲ |
| ROE | 26.3% | 27.6%▲ |
| Market Cap | $10B | $4B |
| Fair Value | — | — |
| Dividend Yield | 1.7% | 4.2%▲ |
| Sector Rank | #3 of 265▲ | #188 of 265 |
| Model Verdicts | ||
| Piotroski | Strong▲ | Attractive |
| Buffett | Strong▲ | Neutral |
| Graham | Neutral | Neutral |
| Lynch | Neutral | Neutral |
| Greenblatt | Attractive▲ | Neutral |
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FDS vs LAZ: Which Stock Scores Higher?
FACTSET RESEARCH SYSTEMS INC (FDS) and Lazard, Inc. (LAZ) are both in the Financials sector. FDS currently leads with a composite score of 8.2/10 (Strong Buy) compared to LAZ's 4.9/10 (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