EH vs PKE

EHang Holdings Limited vs Park Aerospace Corp. — Valuation Comparison 2026

EH

Aircraft Parts & Auxiliary Equipment, NEC
EHang Holdings Limited
Quality
7.0
out of 10
Value Trap
12
SAFE
Price
$10.16
Last close
Models
12/13
Active
VS

PKE

Aircraft Parts & Auxiliary Equipment, NEC
Park Aerospace Corp.
Quality
9.5
out of 10
Value Trap
Price
$31.87
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType EH Fair ValueEH Upside PKE Fair ValuePKE Upside
Bayesian DCF Intrinsic $2.51 -75.3% $6.08 -80.9%
Earnings Power Value Intrinsic $0.33 -96.7% $7.38 -76.8%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

EH vs PKE — Which Stock Is More Undervalued?

PKE scores higher with a 9.5/10 quality rating vs EH's 7.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing EHang Holdings Limited (EH) 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.

EH currently trades at $10.16 with a QOC of 7.0/10, while PKE trades at $31.87 with a QOC of 9.5/10.

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).