AlphaStocks

BFAM vs BOX

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

BFAM

BRIGHT HORIZONS FAMILY SOLUTIONS INC.

8.4

Strong Buy

$75.08

BOX

BOX INC

4.8

Weak

$27.88

BFAM vs BOX: Which is the Better Investment?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) scores 8.4/10 while BOX INC (BOX) scores 4.8/10 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 22.3x, making it the more attractively priced of the two. BOX INC offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricBFAMBOX
Scores & Fundamentals
Composite Score8.4/104.8/10
RatingStrong BuyWeak
Price$75.08$27.88
P/E Ratio22.336.0
ROE14.0%-13.0%
Market Cap$4B$4B
Fair Value$64.30$34.33
Dividend Yield
Sector Rank#2 of 1121#597 of 1121
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamCautionCaution
LynchNeutralAttractive
GreenblattAttractiveCaution
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BFAM vs BOX: Which Stock Scores Higher?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) and BOX INC (BOX) are among the most compared stocks in the S&P 500. BFAM currently leads with a composite score of 8.4/10 (Strong Buy) compared to BOX'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