AlphaStocks

CTAS vs UNF

As of Sep 20, 2026, Cintas (CTAS) scores 6.8/10 and Unifirst (UNF) 4.4/10 on AlphaStocks' five-model composite, so CTAS scores higher. CTAS trades 61% above its model fair value; UNF trades 38% above its model fair value.

CTAS

CINTAS CORP

6.8

Consider Buy

$197.70

UNF

UNIFIRST CORP

4.4

Weak

$261.67

CTAS vs UNF: Which is the Better Investment?

CINTAS CORP (CTAS) scores 6.8/10 while UNIFIRST CORP (UNF) scores 4.4/10 on AlphaStocks' composite model. CINTAS CORP has the higher composite rating of Consider Buy. On a P/E basis, UNIFIRST CORP trades at 32.8x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricCTASUNF
Scores & Fundamentals
Composite Score6.8/104.4/10
RatingConsider BuyWeak
Price$197.70$261.67
P/E Ratio44.832.8
ROE15.6%6.8%
Market Cap$80B$5B
Fair Value$122.97$188.99
Dividend Yield0.8%
Sector Rank#13 of 265#156 of 265
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongAttractive
GrahamNeutralNeutral
LynchNeutralAttractive
GreenblattNeutralLimited Data
View full CTASanalysis →View full UNFanalysis →

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CTAS vs UNF: Which Stock Scores Higher?

CINTAS CORP (CTAS) and UNIFIRST CORP (UNF) are both in the Industrials sector. CTAS currently leads with a composite score of 6.8/10 (Consider Buy) compared to UNF's 4.4/10 (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