CL vs EL

Colgate-Palmolive Company vs Estee Lauder Companies, Inc. (T — Valuation Comparison 2026

CL

Household & Personal Products
Colgate-Palmolive Company
Quality
8.8
out of 10
Value Trap
11
SAFE
Price
$91.66
Last close
Models
12/13
Active
VS

EL

Household & Personal Products
Estee Lauder Companies, Inc. (T
Quality
7.2
out of 10
Value Trap
Price
$90.87
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType CL Fair ValueCL Upside EL Fair ValueEL Upside
Bayesian DCF Intrinsic $58.86 -35.8% $38.90 -57.2%
Earnings Power Value Intrinsic $25.93 -71.7% $10.28 -88.7%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

CL vs EL — Which Stock Is More Undervalued?

CL scores higher with a 8.8/10 quality rating vs EL's 7.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Colgate-Palmolive Company (CL) and Estee Lauder Companies, Inc. (T (EL) 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.

CL currently trades at $91.66 with a QOC of 8.8/10, while EL trades at $90.87 with a QOC of 7.2/10.

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).