ECG vs EME

Everus Construction Group, Inc. vs EMCOR Group, Inc. — Valuation Comparison 2026

ECG

Engineering & Construction
Everus Construction Group, Inc.
Quality
9.5
out of 10
Value Trap
12
SAFE
Price
$151.51
Last close
Models
12/13
Active
VS

EME

Engineering & Construction
EMCOR Group, Inc.
Quality
10.0
out of 10
Value Trap
6
SAFE
Price
$848.45
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType ECG Fair ValueECG Upside EME Fair ValueEME Upside
Bayesian DCF Intrinsic $51.96 -65.7% $417.20 -50.8%
Earnings Power Value Intrinsic $31.88 -79.0% $210.32 -75.2%
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 ECG vs EME — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ECG vs EME — Which Stock Is More Undervalued?

EME scores higher with a 10.0/10 quality rating vs ECG's 9.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Everus Construction Group, Inc. (ECG) and EMCOR Group, Inc. (EME) 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.

ECG currently trades at $151.51 with a QOC of 9.5/10, while EME trades at $848.45 with a QOC of 10.0/10.

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).