AlphaStocks

BFAM vs PHIN

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

BFAM

BRIGHT HORIZONS FAMILY SOLUTIONS INC.

8.4

Strong Buy

$68.25

PHIN

PHINIA INC.

7.0

Consider Buy

$75.14

BFAM vs PHIN: Which is the Better Investment?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) scores 8.4/10 while PHINIA INC. (PHIN) scores 7.0/10 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 20.3x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricBFAMPHIN
Scores & Fundamentals
Composite Score8.4/107.0/10
RatingStrong BuyConsider Buy
Price$68.25$75.14
P/E Ratio20.323.2
ROE14.0%6.6%
Market Cap$4B$3B
Fair Value$64.30$70.00
Dividend Yield1.4%
Sector Rank#1 of 1125#73 of 1125
Model Verdicts
PiotroskiStrongStrong
BuffettStrongAttractive
GrahamCautionNeutral
LynchNeutralNeutral
GreenblattAttractiveStrong
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BFAM vs PHIN: Which Stock Scores Higher?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) and PHINIA INC. (PHIN) 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 PHIN's 7.0/10 (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