AlphaStocks

IPAR vs VAL

As of Sep 20, 2026, Interparfums (IPAR) scores 5.3/10 and Valaris (VAL) 4.6/10 on AlphaStocks' five-model composite, so IPAR scores higher. IPAR trades 23% below its model fair value.

IPAR

INTERPARFUMS INC

5.3

Consider Buy

$112.86

VAL

Valaris Ltd

4.6

Weak

$83.77

IPAR vs VAL: Which is the Better Investment?

INTERPARFUMS INC (IPAR) scores 5.3/10 while Valaris Ltd (VAL) scores 4.6/10 on AlphaStocks' composite model. INTERPARFUMS INC has the higher composite rating of Consider Buy. 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.

MetricIPARVAL
Scores & Fundamentals
Composite Score5.3/104.6/10
RatingConsider BuyWeak
Price$112.86$83.77
P/E Ratio21.56.0
ROE19.2%35.0%
Market Cap$4B$6B
Fair Value$146.20
Dividend Yield2.7%
Sector Rank#24 of 78#37 of 80
Model Verdicts
PiotroskiAttractiveStrong
BuffettNeutralAttractive
GrahamNeutralNeutral
LynchNeutralNeutral
GreenblattLimited DataAttractive
View full IPARanalysis →View full VALanalysis →

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IPAR vs VAL: Which Stock Scores Higher?

INTERPARFUMS INC (IPAR) is in the Consumer Staples sector; Valaris Ltd (VAL) is in Energy. IPAR currently leads with a composite score of 5.3/10 (Consider Buy) compared to VAL's 4.6/10 (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