AlphaStocks

AGYS vs BL

As of Sep 20, 2026, Agilysys (AGYS) scores 7.8/10 and Blackline (BL) 2.8/10 on AlphaStocks' five-model composite, so AGYS scores higher. AGYS trades 81% above its model fair value; BL trades 67% above its model fair value.

AGYS

AGILYSYS INC

7.8

Strong Buy

$100.11

BL

BLACKLINE, INC.

2.8

Avoid

$28.12

AGYS vs BL: Which is the Better Investment?

AGILYSYS INC (AGYS) scores 7.8/10 while BLACKLINE, INC. (BL) scores 2.8/10 on AlphaStocks' composite model. AGILYSYS INC has the higher composite rating of Strong Buy. On a P/E basis, AGILYSYS INC trades at 73.3x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricAGYSBL
Scores & Fundamentals
Composite Score7.8/102.8/10
RatingStrong BuyAvoid
Price$100.11$28.12
P/E Ratio73.375.6
ROE12.1%6.9%
Market Cap$3B$2B
Fair Value$55.22$16.82
Dividend Yield
Sector Rank#5 of 205#191 of 205
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongNeutral
GrahamCautionCaution
LynchAttractiveLimited Data
GreenblattCautionCaution
View full AGYSanalysis →View full BLanalysis →

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AGYS vs BL: Which Stock Scores Higher?

AGILYSYS INC (AGYS) and BLACKLINE, INC. (BL) are both in the Information Technology sector. AGYS currently leads with a composite score of 7.8/10 (Strong Buy) compared to BL's 2.8/10 (Avoid).

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