PLX vs PPBT

Protalix BioTherapeutics, Inc. vs Purple Biotech Ltd. — Valuation Comparison 2026

PLX

Biotechnology
Protalix BioTherapeutics, Inc.
Quality
7.6
out of 10
Value Trap
18
SAFE
Price
$2.10
Last close
Models
12/13
Active
VS

PPBT

Biotechnology
Purple Biotech Ltd.
Quality
3.6
out of 10
Value Trap
Price
$2.81
Last close
Models
2/13
Active

Model-by-Model Comparison

ModelType PLX Fair ValuePLX Upside PPBT Fair ValuePPBT Upside
Bayesian DCF Intrinsic $1.66 -20.9%
Earnings Power Value Intrinsic $3.20 +52.2%
EROIC Spread Intrinsic $2.54 +21.0% $1.34 -52.3%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $3.90 +85.9% $0.54 -80.7%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
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 PLX vs PPBT — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

PLX vs PPBT — Which Stock Is More Undervalued?

PLX scores higher with a 7.6/10 quality rating vs PPBT's 3.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Protalix BioTherapeutics, Inc. (PLX) and Purple Biotech Ltd. (PPBT) 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.

PLX currently trades at $2.10 with a QOC of 7.6/10, while PPBT trades at $2.81 with a QOC of 3.6/10.

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).