GURE vs REX

Gulf Resources, Inc. vs REX American Resources Corporat — Valuation Comparison 2026

GURE

Chemicals
Gulf Resources, Inc.
Quality
5.0
out of 10
Value Trap
8
SAFE
Price
$4.91
Last close
Models
3/13
Active
VS

REX

Chemicals
REX American Resources Corporat
Quality
8.7
out of 10
Value Trap
6
SAFE
Price
$48.26
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType GURE Fair ValueGURE Upside REX Fair ValueREX Upside
Bayesian DCF Intrinsic $4.42 -10.0% $30.54 -36.7%
Earnings Power Value Intrinsic $10.80 -77.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $16.17 +229.4% $18.37 -61.9%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

GURE vs REX — Which Stock Is More Undervalued?

REX scores higher with a 8.7/10 quality rating vs GURE's 5.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Gulf Resources, Inc. (GURE) and REX American Resources Corporat (REX) 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.

GURE currently trades at $4.91 with a QOC of 5.0/10, while REX trades at $48.26 with a QOC of 8.7/10.

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).