AlphaStocks

ARLO vs BFAM

Arlo Technologies, Inc. vs BRIGHT HORIZONS FAMILY SOLUTIONS INC. — Side-by-Side Stock Comparison

ARLO

Arlo Technologies, Inc.

3.5

Weak

$12.99

BFAM

BRIGHT HORIZONS FAMILY SOLUTIONS INC.

8.4

Strong Buy

$75.08

ARLO vs BFAM: Which is the Better Investment?

Arlo Technologies, Inc. (ARLO) scores 3.5/10 while BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) scores 8.4/10 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.

This comparison is algorithmically generated and is not financial advice.

MetricARLOBFAM
Scores & Fundamentals
Composite Score3.5/108.4/10
RatingWeakStrong Buy
Price$12.99$75.08
P/E Ratio95.922.3
ROE2.9%14.0%
Market Cap$1B$4B
Fair Value$64.30
Dividend Yield
Sector Rank#934 of 1121#2 of 1121
Model Verdicts
PiotroskiAttractiveStrong
BuffettNeutralStrong
GrahamCautionCaution
LynchLimited DataNeutral
GreenblattLimited DataAttractive
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ARLO vs BFAM: Which Stock Scores Higher?

Arlo Technologies, Inc. (ARLO) and BRIGHT HORIZONS FAMILY SOLUTIONS INC. (BFAM) 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 ARLO's 3.5/10 (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