HWM vs HXL

Howmet Aerospace Inc. vs Hexcel Corporation — Valuation Comparison 2026

HWM

Aerospace & Defense
Howmet Aerospace Inc.
Quality
9.6
out of 10
Value Trap
10
SAFE
Price
$259.89
Last close
Models
12/13
Active
VS

HXL

Aerospace & Defense
Hexcel Corporation
Quality
8.1
out of 10
Value Trap
21
SAFE
Price
$91.08
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType HWM Fair ValueHWM Upside HXL Fair ValueHXL Upside
Bayesian DCF Intrinsic $49.88 -80.8% $5.76 -93.7%
Earnings Power Value Intrinsic $42.29 -83.7% $13.55 -85.1%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for HWM vs HXL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

HWM vs HXL — Which Stock Is More Undervalued?

HWM scores higher with a 9.6/10 quality rating vs HXL's 8.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Howmet Aerospace Inc. (HWM) and Hexcel Corporation (HXL) 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.

HWM currently trades at $259.89 with a QOC of 9.6/10, while HXL trades at $91.08 with a QOC of 8.1/10.

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).