AMRZ vs CX

Amrize Ltd vs Cemex, S.A.B. de C.V. Sponsored — Valuation Comparison 2026

AMRZ

Building Materials
Amrize Ltd
Quality
7.0
out of 10
Value Trap
Price
$52.87
Last close
Models
12/13
Active
VS

CX

Building Materials
Cemex, S.A.B. de C.V. Sponsored
Quality
2.1
out of 10
Value Trap
Price
$13.06
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType AMRZ Fair ValueAMRZ Upside CX Fair ValueCX Upside
Bayesian DCF Intrinsic $3.62 -93.1% $3.22 -75.3%
Earnings Power Value Intrinsic $9.38 -82.3% $0.88 -93.5%
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 AMRZ vs CX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AMRZ vs CX — Which Stock Is More Undervalued?

AMRZ scores higher with a 7.0/10 quality rating vs CX's 2.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Amrize Ltd (AMRZ) and Cemex, S.A.B. de C.V. Sponsored (CX) 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.

AMRZ currently trades at $52.87 with a QOC of 7.0/10, while CX trades at $13.06 with a QOC of 2.1/10.

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).