AlphaStocks

CMCSA vs MTCH

As of Sep 20, 2026, Comcast (CMCSA) scores 3.8/10 and Match Group (MTCH) 8.0/10 on AlphaStocks' five-model composite, so MTCH scores higher. MTCH trades 22% below its model fair value.

CMCSA

COMCAST CORP

3.8

Weak

$22.72

MTCH

Match Group, Inc.

8.0

Strong Buy

$43.18

CMCSA vs MTCH: Which is the Better Investment?

COMCAST CORP (CMCSA) scores 3.8/10 while Match Group, Inc. (MTCH) scores 8.0/10 on AlphaStocks' composite model. Match Group, Inc. has the higher composite rating of Strong Buy. On a P/E basis, COMCAST CORP trades at 4.2x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricCMCSAMTCH
Scores & Fundamentals
Composite Score3.8/108.0/10
RatingWeakStrong Buy
Price$22.72$43.18
P/E Ratio4.218.5
ROE20.6%-257.0%
Market Cap$82B$11B
Fair Value$55.31
Dividend Yield5.6%1.8%
Sector Rank#37 of 50#1 of 50
Model Verdicts
PiotroskiStrongAttractive
BuffettNeutralStrong
GrahamAttractiveNeutral
LynchAttractiveNeutral
GreenblattStrongStrong
View full CMCSAanalysis →View full MTCHanalysis →

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CMCSA vs MTCH: Which Stock Scores Higher?

COMCAST CORP (CMCSA) and Match Group, Inc. (MTCH) are both in the Communication Services sector. MTCH currently leads with a composite score of 8.0/10 (Strong Buy) compared to CMCSA's 3.8/10 (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