AlphaStocks

BFAM vs DLTR

BRIGHT HORIZONS FAMILY SOLUTIONS INC. vs DOLLAR TREE, INC. — Side-by-Side Stock Comparison

BFAM

BRIGHT HORIZONS FAMILY SOLUTIONS INC.

8.4

Strong Buy

$64.33

DLTR

DOLLAR TREE, INC.

4.8

Weak

$111.65

BFAM vs DLTR: Which is the Better Investment?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) scores 8.4/10 while DOLLAR TREE, INC. (DLTR) 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, DOLLAR TREE, INC. trades at 18.0x, making it the more attractively priced of the two. DOLLAR TREE, INC. offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricBFAMDLTR
Scores & Fundamentals
Composite Score8.4/104.8/10
RatingStrong BuyWeak
Price$64.33$111.65
P/E Ratio19.118.0
ROE14.0%35.0%
Market Cap$4B$22B
Fair Value$64.30$161.84
Dividend Yield
Sector Rank#1 of 1121#607 of 1121
Model Verdicts
PiotroskiStrongStrong
BuffettStrongAttractive
GrahamCautionCaution
LynchNeutralCaution
GreenblattAttractiveStrong
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BFAM vs DLTR: Which Stock Scores Higher?

BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) and DOLLAR TREE, INC. (DLTR) 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 DLTR'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