AlphaStocks

FBP vs TMP

FIRST BANCORP /PR/ vs TOMPKINS FINANCIAL CORP — Side-by-Side Stock Comparison

FBP

FIRST BANCORP /PR/

7.1

Consider Buy

$21.60

TMP

TOMPKINS FINANCIAL CORP

8.7

Strong Buy

$79.71

FBP vs TMP: Which is the Better Investment?

FIRST BANCORP /PR/ (FBP) scores 7.1/10 while TOMPKINS FINANCIAL CORP (TMP) scores 8.7/10 on AlphaStocks' composite model. TOMPKINS FINANCIAL CORP has the higher composite rating of Strong Buy. On a P/E basis, TOMPKINS FINANCIAL CORP trades at 7.1x, making it the more attractively priced of the two. TOMPKINS FINANCIAL CORP offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricFBPTMP
Scores & Fundamentals
Composite Score7.1/108.7/10
RatingConsider BuyStrong Buy
Price$21.60$79.71
P/E Ratio10.17.1
ROE15.4%18.7%
Market Cap$3B$1B
Fair Value$22.46$100.45
Dividend Yield3.4%3.3%
Sector Rank#24 of 97#2 of 97
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongStrong
GrahamStrongStrong
LynchLimited DataLimited Data
GreenblattLimited DataLimited Data
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FBP vs TMP: Which Stock Scores Higher?

FIRST BANCORP /PR/ (FBP) and TOMPKINS FINANCIAL CORP (TMP) are among the most compared stocks in the Financials sector. TMP currently leads with a composite score of 8.7/10 (Strong Buy) compared to FBP's 7.1/10 (Consider Buy).

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