HXL vs PCT

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

HXL

Plastic Materials, Synth Resins & Nonvulcan Elastomers
Hexcel Corporation
Quality
8.1
out of 10
Value Trap
21
SAFE
Price
$89.79
Last close
Models
12/13
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 HXL Fair ValueHXL Upside PCT Fair ValuePCT Upside
Bayesian DCF Intrinsic $5.83 -93.5% $2.84 -77.1%
Earnings Power Value Intrinsic $13.55 -84.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $28.56 -68.2% $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 HXL vs PCT — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

HXL vs PCT — Which Stock Is More Undervalued?

HXL scores higher with a 8.1/10 quality rating vs PCT's 4.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Hexcel Corporation (HXL) 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.

HXL currently trades at $89.79 with a QOC of 8.1/10, 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).