NUVB vs NVO

Nuvation Bio Inc. vs Novo Nordisk A/S — Valuation Comparison 2026

NUVB

Pharmaceutical Preparations
Nuvation Bio Inc.
Quality
5.4
out of 10
Value Trap
30
LOW
Price
$4.78
Last close
Models
11/13
Active
VS

NVO

Pharmaceutical Preparations
Novo Nordisk A/S
Quality
10.0
out of 10
Value Trap
12
SAFE
Price
$45.58
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType NUVB Fair ValueNUVB Upside NVO Fair ValueNVO Upside
Bayesian DCF Intrinsic $1.21 -74.7% $31.49 -30.9%
Earnings Power Value Intrinsic $0.23 -94.9% $44.06 -3.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 NUVB vs NVO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

NUVB vs NVO — Which Stock Is More Undervalued?

NVO scores higher with a 10.0/10 quality rating vs NUVB's 5.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Nuvation Bio Inc. (NUVB) 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.

NUVB currently trades at $4.78 with a QOC of 5.4/10, while NVO trades at $45.58 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).