AlphaStocks

PLUS vs SCSC

As of Sep 20, 2026, Eplus (PLUS) scores 5.5/10 and Scansource (SCSC) 7.5/10 on AlphaStocks' five-model composite, so SCSC scores higher. SCSC trades 35% below its model fair value.

PLUS

EPLUS INC

5.5

Consider Buy

$91.03

SCSC

SCANSOURCE, INC.

7.5

Strong Buy

$56.93

PLUS vs SCSC: Which is the Better Investment?

EPLUS INC (PLUS) scores 5.5/10 while SCANSOURCE, INC. (SCSC) scores 7.5/10 on AlphaStocks' composite model. SCANSOURCE, INC. has the higher composite rating of Strong Buy. On a P/E basis, EPLUS INC trades at 18.1x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricPLUSSCSC
Scores & Fundamentals
Composite Score5.5/107.5/10
RatingConsider BuyStrong Buy
Price$91.03$56.93
P/E Ratio18.119.0
ROE12.4%7.0%
Market Cap$2B$1B
Fair Value$88.22
Dividend Yield0.8%
Sector Rank#94 of 205#12 of 205
Model Verdicts
PiotroskiAttractiveNeutral
BuffettAttractiveStrong
GrahamCautionAttractive
LynchCautionCaution
GreenblattLimited DataNeutral
View full PLUSanalysis →View full SCSCanalysis →

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PLUS vs SCSC: Which Stock Scores Higher?

EPLUS INC (PLUS) and SCANSOURCE, INC. (SCSC) are both in the Information Technology sector. SCSC currently leads with a composite score of 7.5/10 (Strong Buy) compared to PLUS's 5.5/10 (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