AlphaStocks

BFAM vs NWS

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

BFAM

BRIGHT HORIZONS FAMILY SOLUTIONS INC.

8.4

Strong Buy

$68.25

NWS

NEWS CORP

6.4

Consider Buy

$30.23

BFAM vs NWS: Which is the Better Investment?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) scores 8.4/10 while NEWS CORP (NWS) scores 6.4/10 on AlphaStocks' composite model. BRIGHT HORIZONS FAMILY SOLUTIONS INC. has the higher composite rating of Strong Buy. On a P/E basis, NEWS CORP trades at 14.6x, making it the more attractively priced of the two. NEWS CORP offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricBFAMNWS
Scores & Fundamentals
Composite Score8.4/106.4/10
RatingStrong BuyConsider Buy
Price$68.25$30.23
P/E Ratio20.314.6
ROE14.0%13.9%
Market Cap$4B$17B
Fair Value$64.30$44.11
Dividend Yield1.1%
Sector Rank#1 of 1125#166 of 1125
Model Verdicts
PiotroskiStrongLimited Data
BuffettStrongStrong
GrahamCautionNeutral
LynchNeutralLimited Data
GreenblattAttractiveAttractive
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BFAM vs NWS: Which Stock Scores Higher?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) and NEWS CORP (NWS) 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 NWS's 6.4/10 (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