ORGO vs PCRX

Organogenesis Holdings Inc. vs Pacira BioSciences, Inc. — Valuation Comparison 2026

ORGO

Drug Manufacturers - Specialty & Generic
Organogenesis Holdings Inc.
Quality
7.2
out of 10
Value Trap
16
SAFE
Price
$2.62
Last close
Models
12/13
Active
VS

PCRX

Drug Manufacturers - Specialty & Generic
Pacira BioSciences, Inc.
Quality
8.7
out of 10
Value Trap
24
SAFE
Price
$23.68
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType ORGO Fair ValueORGO Upside PCRX Fair ValuePCRX Upside
Bayesian DCF Intrinsic $0.05 -98.3% $60.11 +153.9%
Earnings Power Value Intrinsic $0.12 -95.2% $33.57 +41.8%
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 $•••.•• ••.•% $•••.•• ••.•%
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ORGO vs PCRX — Which Stock Is More Undervalued?

PCRX scores higher with a 8.7/10 quality rating vs ORGO's 7.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Organogenesis Holdings Inc. (ORGO) and Pacira BioSciences, Inc. (PCRX) 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.

ORGO currently trades at $2.62 with a QOC of 7.2/10, while PCRX trades at $23.68 with a QOC of 8.7/10.

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).