CGEN vs CGTX

Compugen Ltd. vs Cognition Therapeutics, Inc. — Valuation Comparison 2026

CGEN

Biological Products, (No Diagnostic Substances)
Compugen Ltd.
Quality
9.0
out of 10
Value Trap
12
SAFE
Price
$2.63
Last close
Models
12/13
Active
VS

CGTX

Biological Products, (No Diagnostic Substances)
Cognition Therapeutics, Inc.
Quality
4.1
out of 10
Value Trap
36
LOW
Price
$1.18
Last close
Models
6/13
Active

Model-by-Model Comparison

ModelType CGEN Fair ValueCGEN Upside CGTX Fair ValueCGTX Upside
Bayesian DCF Intrinsic $4.07 +54.7% $0.52 -55.8%
Earnings Power Value Intrinsic $3.30 +25.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $1.00 -62.1% $0.64 -45.4%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for CGEN vs CGTX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CGEN vs CGTX — Which Stock Is More Undervalued?

CGEN scores higher with a 9.0/10 quality rating vs CGTX's 4.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Compugen Ltd. (CGEN) and Cognition Therapeutics, Inc. (CGTX) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

CGEN currently trades at $2.63 with a QOC of 9.0/10, while CGTX trades at $1.18 with a QOC of 4.1/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).