AlphaStocks

BFH vs MC

As of Sep 20, 2026, Bread Financial Holdings (BFH) scores 8.3/10 and Moelis (MC) 4.7/10 on AlphaStocks' five-model composite, so BFH scores higher. MC trades 37% below its model fair value.

BFH

BREAD FINANCIAL HOLDINGS, INC.

8.3

Strong Buy

$108.29

MC

Moelis & Co

4.7

Weak

$59.71

BFH vs MC: Which is the Better Investment?

BREAD FINANCIAL HOLDINGS, INC. (BFH) scores 8.3/10 while Moelis & Co (MC) scores 4.7/10 on AlphaStocks' composite model. BREAD FINANCIAL HOLDINGS, INC. has the higher composite rating of Strong Buy. On a P/E basis, BREAD FINANCIAL HOLDINGS, INC. trades at 9.9x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricBFHMC
Scores & Fundamentals
Composite Score8.3/104.7/10
RatingStrong BuyWeak
Price$108.29$59.71
P/E Ratio9.918.2
ROE15.6%47.1%
Market Cap$5B$5B
Fair Value$95.42
Dividend Yield0.9%
Sector Rank#2 of 265#198 of 265
Model Verdicts
PiotroskiStrongStrong
BuffettStrongNeutral
GrahamStrongNeutral
LynchCautionLimited Data
GreenblattCautionLimited Data
View full BFHanalysis →View full MCanalysis →

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BFH vs MC: Which Stock Scores Higher?

BREAD FINANCIAL HOLDINGS, INC. (BFH) and Moelis & Co (MC) are both in the Financials sector. BFH currently leads with a composite score of 8.3/10 (Strong Buy) compared to MC's 4.7/10 (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