AMGN vs BMY

Amgen Inc. vs Bristol-Myers Squibb Company — Valuation Comparison 2026

AMGN

Drug Manufacturers - General
Amgen Inc.
Quality
9.0
out of 10
Value Trap
12
SAFE
Price
$336.48
Last close
Models
12/13
Active
VS

BMY

Drug Manufacturers - General
Bristol-Myers Squibb Company
Quality
10.0
out of 10
Value Trap
17
SAFE
Price
$56.91
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType AMGN Fair ValueAMGN Upside BMY Fair ValueBMY Upside
Bayesian DCF Intrinsic $109.14 -67.6% $123.15 +116.4%
Earnings Power Value Intrinsic $222.76 -33.8% $52.56 -7.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 AMGN vs BMY — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AMGN vs BMY — Which Stock Is More Undervalued?

BMY scores higher with a 10.0/10 quality rating vs AMGN's 9.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Amgen Inc. (AMGN) and Bristol-Myers Squibb Company (BMY) 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.

AMGN currently trades at $336.48 with a QOC of 9.0/10, while BMY trades at $56.91 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).