AlphaStocks

BKH vs CWEN

As of Sep 20, 2026, Black Hills (BKH) scores 3.9/10 and Clearway Energy (CWEN) 4.4/10 on AlphaStocks' five-model composite, so CWEN scores higher. BKH trades 6% below its model fair value.

BKH

BLACK HILLS CORP /SD/

3.9

Weak

$70.44

CWEN

Clearway Energy, Inc.

4.4

Weak

$30.82

BKH vs CWEN: Which is the Better Investment?

BLACK HILLS CORP /SD/ (BKH) scores 3.9/10 while Clearway Energy, Inc. (CWEN) scores 4.4/10 on AlphaStocks' composite model. Clearway Energy, Inc. has the higher composite rating of Weak. On a P/E basis, Clearway Energy, Inc. trades at 5.2x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricBKHCWEN
Scores & Fundamentals
Composite Score3.9/104.4/10
RatingWeakWeak
Price$70.44$30.82
P/E Ratio17.75.2
ROE7.7%8.7%
Market Cap$5B$3B
Fair Value$74.96
Dividend Yield3.6%7.4%
Sector Rank#22 of 60#13 of 60
Model Verdicts
PiotroskiAttractiveAttractive
BuffettNeutralAttractive
GrahamNeutralAttractive
LynchCautionAttractive
GreenblattCautionCaution
View full BKHanalysis →View full CWENanalysis →

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BKH vs CWEN: Which Stock Scores Higher?

BLACK HILLS CORP /SD/ (BKH) and Clearway Energy, Inc. (CWEN) are both in the Utilities sector. CWEN currently leads with a composite score of 4.4/10 (Weak) compared to BKH's 3.9/10 (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