AVNT vs PCT

Avient Corporation vs PureCycle Technologies, Inc. — Valuation Comparison 2026

AVNT

Plastic Materials, Synth Resins & Nonvulcan Elastomers
Avient Corporation
Quality
7.9
out of 10
Value Trap
25
LOW
Price
$35.42
Last close
Models
13/13
Active
VS

PCT

Plastic Materials, Synth Resins & Nonvulcan Elastomers
PureCycle Technologies, Inc.
Quality
4.9
out of 10
Value Trap
12
SAFE
Price
$12.39
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType AVNT Fair ValueAVNT Upside PCT Fair ValuePCT Upside
Bayesian DCF Intrinsic $11.02 -68.9% $2.84 -77.1%
Earnings Power Value Intrinsic $13.66 -61.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $21.48 -39.4% $1.22 -90.2%
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 AVNT vs PCT — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AVNT vs PCT — Which Stock Is More Undervalued?

AVNT scores higher with a 7.9/10 quality rating vs PCT's 4.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Avient Corporation (AVNT) and PureCycle Technologies, Inc. (PCT) 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.

AVNT currently trades at $35.42 with a QOC of 7.9/10, while PCT trades at $12.39 with a QOC of 4.9/10.

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).