SCNI vs TWST

Scinai Immunotherapeutics Ltd. vs Twist Bioscience Corporation — Valuation Comparison 2026

SCNI

Biological Products, (No Diagnostic Substances)
Scinai Immunotherapeutics Ltd.
Quality
1.9
out of 10
Value Trap
12
SAFE
Price
$0.45
Last close
Models
9/13
Active
VS

TWST

Biological Products, (No Diagnostic Substances)
Twist Bioscience Corporation
Quality
4.5
out of 10
Value Trap
23
SAFE
Price
$69.03
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType SCNI Fair ValueSCNI Upside TWST Fair ValueTWST Upside
Bayesian DCF Intrinsic $0.12 -72.3% $16.85 -75.6%
Earnings Power Value Intrinsic $29.92 -50.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $0.05 -88.2% $16.70 -68.8%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

SCNI vs TWST — Which Stock Is More Undervalued?

TWST scores higher with a 4.5/10 quality rating vs SCNI's 1.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Scinai Immunotherapeutics Ltd. (SCNI) and Twist Bioscience Corporation (TWST) 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.

SCNI currently trades at $0.45 with a QOC of 1.9/10, while TWST trades at $69.03 with a QOC of 4.5/10.

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).