AlphaStocks

IBM vs IT

As of Sep 20, 2026, International Business Machines (IBM) scores 4.8/10 and Gartner (IT) 7.6/10 on AlphaStocks' five-model composite, so IT scores higher. IBM trades 26% below its model fair value.

IBM

INTERNATIONAL BUSINESS MACHINES CORP

4.8

Weak

$229.58

IT

GARTNER INC

7.6

Strong Buy

$185.86

IBM vs IT: Which is the Better Investment?

INTERNATIONAL BUSINESS MACHINES CORP (IBM) scores 4.8/10 while GARTNER INC (IT) scores 7.6/10 on AlphaStocks' composite model. GARTNER INC has the higher composite rating of Strong Buy. On a P/E basis, GARTNER INC trades at 19.3x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricIBMIT
Scores & Fundamentals
Composite Score4.8/107.6/10
RatingWeakStrong Buy
Price$229.58$185.86
P/E Ratio20.619.3
ROE35.0%-8.3%
Market Cap$219B$13B
Fair Value$312.00
Dividend Yield2.3%
Sector Rank#131 of 205#8 of 205
Model Verdicts
PiotroskiAttractiveAttractive
BuffettAttractiveAttractive
GrahamCautionNeutral
LynchNeutralStrong
GreenblattAttractiveStrong
View full IBManalysis →View full ITanalysis →

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IBM vs IT: Which Stock Scores Higher?

INTERNATIONAL BUSINESS MACHINES CORP (IBM) and GARTNER INC (IT) are both in the Information Technology sector. IT currently leads with a composite score of 7.6/10 (Strong Buy) compared to IBM's 4.8/10 (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