LPG vs NVGS

Dorian LPG Ltd. vs Navigator Holdings Ltd. — Valuation Comparison 2026

LPG

Deep Sea Foreign Transportation of Freight
Dorian LPG Ltd.
Quality
8.8
out of 10
Value Trap
12
SAFE
Price
$40.22
Last close
Models
13/13
Active
VS

NVGS

Deep Sea Foreign Transportation of Freight
Navigator Holdings Ltd.
Quality
9.0
out of 10
Value Trap
12
SAFE
Price
$21.70
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType LPG Fair ValueLPG Upside NVGS Fair ValueNVGS Upside
Bayesian DCF Intrinsic $60.66 +50.8% $16.99 -21.7%
Earnings Power Value Intrinsic $20.67 -48.6% $33.08 +52.4%
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 LPG vs NVGS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

LPG vs NVGS — Which Stock Is More Undervalued?

NVGS scores higher with a 9.0/10 quality rating vs LPG's 8.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Dorian LPG Ltd. (LPG) and Navigator Holdings Ltd. (NVGS) 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.

LPG currently trades at $40.22 with a QOC of 8.8/10, while NVGS trades at $21.70 with a QOC of 9.0/10.

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).