AlphaStocks

FDS vs RJF

FACTSET RESEARCH SYSTEMS INC vs RAYMOND JAMES FINANCIAL INC — Side-by-Side Stock Comparison

FDS

FACTSET RESEARCH SYSTEMS INC

8.2

Strong Buy

$274.20

RJF

RAYMOND JAMES FINANCIAL INC

5.9

Consider Buy

$178.62

FDS vs RJF: Which is the Better Investment?

FACTSET RESEARCH SYSTEMS INC (FDS) scores 8.2/10 while RAYMOND JAMES FINANCIAL INC (RJF) scores 5.9/10 on AlphaStocks' composite model. FACTSET RESEARCH SYSTEMS INC has the higher composite rating of Strong Buy. On a P/E basis, RAYMOND JAMES FINANCIAL INC trades at 17.3x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricFDSRJF
Scores & Fundamentals
Composite Score8.2/105.9/10
RatingStrong BuyConsider Buy
Price$274.20$178.62
P/E Ratio17.617.3
ROE26.3%17.2%
Market Cap$10B$36B
Fair Value$199.88
Dividend Yield1.7%1.2%
Sector Rank#2 of 94#47 of 94
Model Verdicts
PiotroskiStrongStrong
BuffettStrongStrong
GrahamNeutralNeutral
LynchNeutralAttractive
GreenblattAttractiveCaution
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FDS vs RJF: Which Stock Scores Higher?

FACTSET RESEARCH SYSTEMS INC (FDS) and RAYMOND JAMES FINANCIAL INC (RJF) are among the most compared stocks in the Financials sector. FDS currently leads with a composite score of 8.2/10 (Strong Buy) compared to RJF's 5.9/10 (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