BMRN vs BRNS

BioMarin Pharmaceutical Inc. vs Barinthus Biotherapeutics plc — Valuation Comparison 2026

BMRN

Pharmaceutical Preparations
BioMarin Pharmaceutical Inc.
Quality
9.2
out of 10
Value Trap
Price
$57.29
Last close
Models
13/13
Active
VS

BRNS

Pharmaceutical Preparations
Barinthus Biotherapeutics plc
Quality
6.0
out of 10
Value Trap
24
SAFE
Price
$0.68
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType BMRN Fair ValueBMRN Upside BRNS Fair ValueBRNS Upside
Bayesian DCF Intrinsic $29.06 -49.3% $0.94 +38.4%
Earnings Power Value Intrinsic $21.17 -63.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $80.18 +40.0% $0.29 -57.0%
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 BMRN vs BRNS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

BMRN vs BRNS — Which Stock Is More Undervalued?

BMRN scores higher with a 9.2/10 quality rating vs BRNS's 6.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing BioMarin Pharmaceutical Inc. (BMRN) and Barinthus Biotherapeutics plc (BRNS) 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.

BMRN currently trades at $57.29 with a QOC of 9.2/10, while BRNS trades at $0.68 with a QOC of 6.0/10.

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).