EHLD vs GASS

Euroholdings Ltd. vs StealthGas, Inc. — Valuation Comparison 2026

EHLD

Deep Sea Foreign Transportation of Freight
Euroholdings Ltd.
Quality
7.1
out of 10
Value Trap
12
SAFE
Price
$8.68
Last close
Models
10/13
Active
VS

GASS

Deep Sea Foreign Transportation of Freight
StealthGas, Inc.
Quality
9.6
out of 10
Value Trap
Price
$9.18
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType EHLD Fair ValueEHLD Upside GASS Fair ValueGASS Upside
Bayesian DCF Intrinsic $8.94 +2.9% $30.40 +231.2%
Earnings Power Value Intrinsic $9.83 +13.3% $19.12 +108.3%
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 EHLD vs GASS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

EHLD vs GASS — Which Stock Is More Undervalued?

GASS scores higher with a 9.6/10 quality rating vs EHLD's 7.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Euroholdings Ltd. (EHLD) and StealthGas, Inc. (GASS) 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.

EHLD currently trades at $8.68 with a QOC of 7.1/10, while GASS trades at $9.18 with a QOC of 9.6/10.

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).