AlphaStocks

BFAM vs SBUX

BRIGHT HORIZONS FAMILY SOLUTIONS INC. vs STARBUCKS CORP — Side-by-Side Stock Comparison

BFAM

BRIGHT HORIZONS FAMILY SOLUTIONS INC.

8.4

Strong Buy

$64.33

SBUX

STARBUCKS CORP

5.2

Consider Buy

$100.61

BFAM vs SBUX: Which is the Better Investment?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) scores 8.4/10 while STARBUCKS CORP (SBUX) scores 5.2/10 on AlphaStocks' composite model. BRIGHT HORIZONS FAMILY SOLUTIONS INC. has the higher composite rating of Strong Buy. On a P/E basis, BRIGHT HORIZONS FAMILY SOLUTIONS INC. trades at 19.1x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricBFAMSBUX
Scores & Fundamentals
Composite Score8.4/105.2/10
RatingStrong BuyConsider Buy
Price$64.33$100.61
P/E Ratio19.161.8
ROE14.0%-23.5%
Market Cap$4B$115B
Fair Value$64.30$59.10
Dividend Yield2.3%
Sector Rank#1 of 1124#496 of 1124
Model Verdicts
PiotroskiStrongNeutral
BuffettStrongNeutral
GrahamCautionNeutral
LynchNeutralNeutral
GreenblattAttractiveCaution
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BFAM vs SBUX: Which Stock Scores Higher?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) and STARBUCKS CORP (SBUX) are among the most compared stocks in the Consumer Discretionary sector. BFAM currently leads with a composite score of 8.4/10 (Strong Buy) compared to SBUX's 5.2/10 (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