AXTA vs RPM

Axalta Coating Systems Ltd. vs RPM International Inc. — Valuation Comparison 2026

AXTA

Paints, Varnishes, Lacquers, Enamels & Allied Prods
Axalta Coating Systems Ltd.
Quality
8.4
out of 10
Value Trap
17
SAFE
Price
$30.77
Last close
Models
12/13
Active
VS

RPM

Paints, Varnishes, Lacquers, Enamels & Allied Prods
RPM International Inc.
Quality
9.6
out of 10
Value Trap
Price
$105.97
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType AXTA Fair ValueAXTA Upside RPM Fair ValueRPM Upside
Bayesian DCF Intrinsic $7.34 -76.2% $86.51 -18.4%
Earnings Power Value Intrinsic $6.60 -78.5% $24.67 -76.7%
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 $•••.•• ••.•% $•••.•• ••.•%
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AXTA vs RPM — Which Stock Is More Undervalued?

RPM scores higher with a 9.6/10 quality rating vs AXTA's 8.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Axalta Coating Systems Ltd. (AXTA) and RPM International Inc. (RPM) 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.

AXTA currently trades at $30.77 with a QOC of 8.4/10, while RPM trades at $105.97 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).