CMP vs FEAM

Compass Minerals Intl Inc vs 5E Advanced Materials, Inc. — Valuation Comparison 2026

CMP

Mining & Quarrying of Nonmetallic Minerals (No Fuels)
Compass Minerals Intl Inc
Quality
6.9
out of 10
Value Trap
20
SAFE
Price
$31.92
Last close
Models
13/13
Active
VS

FEAM

Mining & Quarrying of Nonmetallic Minerals (No Fuels)
5E Advanced Materials, Inc.
Quality
4.8
out of 10
Value Trap
18
SAFE
Price
$1.85
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType CMP Fair ValueCMP Upside FEAM Fair ValueFEAM Upside
Bayesian DCF Intrinsic $19.32 -39.5% $0.83 -55.1%
Earnings Power Value Intrinsic $6.65 -79.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $3.23 -89.9% $1.36 -26.4%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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CMP vs FEAM — Which Stock Is More Undervalued?

CMP scores higher with a 6.9/10 quality rating vs FEAM's 4.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Compass Minerals Intl Inc (CMP) and 5E Advanced Materials, Inc. (FEAM) 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.

CMP currently trades at $31.92 with a QOC of 6.9/10, while FEAM trades at $1.85 with a QOC of 4.8/10.

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).