AlphaStocks

GBCI vs TMP

GLACIER BANCORP, INC. vs TOMPKINS FINANCIAL CORP — Side-by-Side Stock Comparison

GBCI

GLACIER BANCORP, INC.

3.7

Weak

$45.03

TMP

TOMPKINS FINANCIAL CORP

8.7

Strong Buy

$79.71

GBCI vs TMP: Which is the Better Investment?

GLACIER BANCORP, INC. (GBCI) scores 3.7/10 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.

MetricGBCITMP
Scores & Fundamentals
Composite Score3.7/108.7/10
RatingWeakStrong Buy
Price$45.03$79.71
P/E Ratio22.67.1
ROE6.1%18.7%
Market Cap$5B$1B
Fair Value$27.32$100.45
Dividend Yield3.1%3.3%
Sector Rank#91 of 97#2 of 97
Model Verdicts
PiotroskiAttractiveAttractive
BuffettNeutralStrong
GrahamNeutralStrong
LynchLimited DataLimited Data
GreenblattLimited DataLimited Data
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GBCI vs TMP: Which Stock Scores Higher?

GLACIER BANCORP, INC. (GBCI) 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 GBCI's 3.7/10 (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