PMVP vs PRGO

PMV Pharmaceuticals, Inc. vs Perrigo Company plc — Valuation Comparison 2026

PMVP

Pharmaceutical Preparations
PMV Pharmaceuticals, Inc.
Quality
4.5
out of 10
Value Trap
24
SAFE
Price
$1.20
Last close
Models
9/13
Active
VS

PRGO

Pharmaceutical Preparations
Perrigo Company plc
Quality
5.9
out of 10
Value Trap
32
LOW
Price
$11.05
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType PMVP Fair ValuePMVP Upside PRGO Fair ValuePRGO Upside
Bayesian DCF Intrinsic $0.53 -55.7% $2.94 -73.7%
Earnings Power Value Intrinsic $0.94 -32.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $14.77 +33.7%
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 PMVP vs PRGO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

PMVP vs PRGO — Which Stock Is More Undervalued?

PRGO scores higher with a 5.9/10 quality rating vs PMVP's 4.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing PMV Pharmaceuticals, Inc. (PMVP) and Perrigo Company plc (PRGO) 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.

PMVP currently trades at $1.20 with a QOC of 4.5/10, while PRGO trades at $11.05 with a QOC of 5.9/10.

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).