GD vs HOVR

General Dynamics Corporation vs New Horizon Aircraft Ltd. — Valuation Comparison 2026

GD

Aerospace & Defense
General Dynamics Corporation
Quality
8.8
out of 10
Value Trap
Price
$348.96
Last close
Models
13/13
Active
VS

HOVR

Aerospace & Defense
New Horizon Aircraft Ltd.
Quality
5.3
out of 10
Value Trap
22
SAFE
Price
$2.84
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType GD Fair ValueGD Upside HOVR Fair ValueHOVR Upside
Bayesian DCF Intrinsic $273.55 -21.6% $0.90 -68.4%
Earnings Power Value Intrinsic $101.06 -71.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $66.49 -80.9% $0.26 -90.9%
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 GD vs HOVR — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

GD vs HOVR — Which Stock Is More Undervalued?

GD scores higher with a 8.8/10 quality rating vs HOVR's 5.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing General Dynamics Corporation (GD) and New Horizon Aircraft Ltd. (HOVR) 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.

GD currently trades at $348.96 with a QOC of 8.8/10, while HOVR trades at $2.84 with a QOC of 5.3/10.

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).