AlphaStocks

LOPE vs VAL

As of Sep 20, 2026, Grand Canyon Education (LOPE) scores 3.5/10 and Valaris (VAL) 4.6/10 on AlphaStocks' five-model composite, so VAL scores higher. LOPE trades 12% below its model fair value.

LOPE

Grand Canyon Education, Inc.

3.5

Weak

$151.09

VAL

Valaris Ltd

4.6

Weak

$83.77

LOPE vs VAL: Which is the Better Investment?

Grand Canyon Education, Inc. (LOPE) scores 3.5/10 while Valaris Ltd (VAL) scores 4.6/10 on AlphaStocks' composite model. Valaris Ltd has the higher composite rating of Weak. On a P/E basis, Valaris Ltd trades at 6.0x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricLOPEVAL
Scores & Fundamentals
Composite Score3.5/104.6/10
RatingWeakWeak
Price$151.09$83.77
P/E Ratio19.66.0
ROE8.2%35.0%
Market Cap$4B$6B
Fair Value$172.32
Dividend Yield
Sector Rank#153 of 194#37 of 80
Model Verdicts
PiotroskiAttractiveStrong
BuffettNeutralAttractive
GrahamCautionNeutral
LynchAttractiveNeutral
GreenblattLimited DataAttractive
View full LOPEanalysis →View full VALanalysis →

Related comparisons

Compare any two stocks →

LOPE vs VAL: Which Stock Scores Higher?

Grand Canyon Education, Inc. (LOPE) is in the Consumer Discretionary sector; Valaris Ltd (VAL) is in Energy. VAL currently leads with a composite score of 4.6/10 (Weak) compared to LOPE'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