NSRX vs NVO

Nasus Pharma Ltd. vs Novo Nordisk A/S — Valuation Comparison 2026

NSRX

Drug Manufacturers - General
Nasus Pharma Ltd.
Quality
1.9
out of 10
Value Trap
Price
$3.20
Last close
Models
7/13
Active
VS

NVO

Drug Manufacturers - General
Novo Nordisk A/S
Quality
10.0
out of 10
Value Trap
12
SAFE
Price
$45.51
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType NSRX Fair ValueNSRX Upside NVO Fair ValueNVO Upside
Bayesian DCF Intrinsic $0.85 -73.5% $31.50 -30.8%
Earnings Power Value Intrinsic $44.05 -3.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $2.27 -24.8% $54.46 +19.7%
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 NSRX vs NVO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

NSRX vs NVO — Which Stock Is More Undervalued?

NVO scores higher with a 10.0/10 quality rating vs NSRX's 1.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Nasus Pharma Ltd. (NSRX) and Novo Nordisk A/S (NVO) 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.

NSRX currently trades at $3.20 with a QOC of 1.9/10, while NVO trades at $45.51 with a QOC of 10.0/10.

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).