OPXS vs PKE

Optex Systems Holdings, Inc. vs Park Aerospace Corp. — Valuation Comparison 2026

OPXS

Aerospace & Defense
Optex Systems Holdings, Inc.
Quality
9.9
out of 10
Value Trap
6
SAFE
Price
$11.20
Last close
Models
12/13
Active
VS

PKE

Aerospace & Defense
Park Aerospace Corp.
Quality
8.2
out of 10
Value Trap
Price
$36.41
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType OPXS Fair ValueOPXS Upside PKE Fair ValuePKE Upside
Bayesian DCF Intrinsic $6.34 -43.4% $4.46 -87.8%
Earnings Power Value Intrinsic $8.69 -22.5% $5.64 -84.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
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 OPXS vs PKE — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

OPXS vs PKE — Which Stock Is More Undervalued?

OPXS scores higher with a 9.9/10 quality rating vs PKE's 8.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Optex Systems Holdings, Inc. (OPXS) and Park Aerospace Corp. (PKE) 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.

OPXS currently trades at $11.20 with a QOC of 9.9/10, while PKE trades at $36.41 with a QOC of 8.2/10.

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).