AMPH vs APUS

Amphastar Pharmaceuticals, Inc. vs Apimeds Pharmaceuticals US, Inc — Valuation Comparison 2026

AMPH

Drug Manufacturers - Specialty & Generic
Amphastar Pharmaceuticals, Inc.
Quality
10.0
out of 10
Value Trap
12
SAFE
Price
$19.30
Last close
Models
13/13
Active
VS

APUS

Drug Manufacturers - Specialty & Generic
Apimeds Pharmaceuticals US, Inc
Quality
4.8
out of 10
Value Trap
6
SAFE
Price
$1.36
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType AMPH Fair ValueAMPH Upside APUS Fair ValueAPUS Upside
Bayesian DCF Intrinsic $42.38 +119.6% $0.39 -71.3%
Earnings Power Value Intrinsic $14.27 -26.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $2.90 -85.0% $3.88 +185.2%
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 AMPH vs APUS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AMPH vs APUS — Which Stock Is More Undervalued?

AMPH scores higher with a 10.0/10 quality rating vs APUS's 4.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Amphastar Pharmaceuticals, Inc. (AMPH) and Apimeds Pharmaceuticals US, Inc (APUS) 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.

AMPH currently trades at $19.30 with a QOC of 10.0/10, while APUS trades at $1.36 with a QOC of 4.8/10.

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).