AlphaStocks

CLF vs RS

As of Sep 20, 2026, Cleveland-Cliffs (CLF) scores 4.3/10 and Reliance (RS) 5.5/10 on AlphaStocks' five-model composite, so RS scores higher. CLF trades 32% below its model fair value; RS trades 21% above its model fair value.

CLF

CLEVELAND-CLIFFS INC.

4.3

Weak

$12.50

RS

RELIANCE, INC.

5.5

Consider Buy

$390.30

CLF vs RS: Which is the Better Investment?

CLEVELAND-CLIFFS INC. (CLF) scores 4.3/10 while RELIANCE, INC. (RS) scores 5.5/10 on AlphaStocks' composite model. RELIANCE, INC. has the higher composite rating of Consider Buy. CLEVELAND-CLIFFS INC. trades further below its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricCLFRS
Scores & Fundamentals
Composite Score4.3/105.5/10
RatingWeakConsider Buy
Price$12.50$390.30
P/E Ratio27.9
ROE-25.5%10.2%
Market Cap$7B$20B
Fair Value$18.28$323.43
Dividend Yield
Sector Rank#43 of 78#16 of 78
Model Verdicts
PiotroskiCautionAttractive
BuffettCautionNeutral
GrahamCautionNeutral
LynchCautionNeutral
GreenblattCautionNeutral
View full CLFanalysis →View full RSanalysis →

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CLF vs RS: Which Stock Scores Higher?

CLEVELAND-CLIFFS INC. (CLF) and RELIANCE, INC. (RS) are both in the Materials sector. RS currently leads with a composite score of 5.5/10 (Consider Buy) compared to CLF's 4.3/10 (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