AlphaStocks

BFAM vs TRN

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

BFAM

BRIGHT HORIZONS FAMILY SOLUTIONS INC.

8.4

Strong Buy

$68.25

TRN

TRINITY INDUSTRIES INC

7.8

Strong Buy

$34.32

BFAM vs TRN: Which is the Better Investment?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) scores 8.4/10 while TRINITY INDUSTRIES INC (TRN) scores 7.8/10 on AlphaStocks' composite model. BRIGHT HORIZONS FAMILY SOLUTIONS INC. has the higher composite rating of Strong Buy. On a P/E basis, TRINITY INDUSTRIES INC trades at 10.3x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricBFAMTRN
Scores & Fundamentals
Composite Score8.4/107.8/10
RatingStrong BuyStrong Buy
Price$68.25$34.32
P/E Ratio20.310.3
ROE14.0%26.7%
Market Cap$4B$3B
Fair Value$64.30
Dividend Yield3.7%
Sector Rank#1 of 1125#16 of 1125
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamCautionLimited Data
LynchNeutralLimited Data
GreenblattAttractiveLimited Data
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BFAM vs TRN: Which Stock Scores Higher?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) and TRINITY INDUSTRIES INC (TRN) 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 TRN's 7.8/10 (Strong 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