EME vs ESOA

EMCOR Group, Inc. vs Energy Services of America Corp — Valuation Comparison 2026

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
VS

ESOA

Engineering & Construction
Energy Services of America Corp
Quality
7.0
out of 10
Value Trap
6
SAFE
Price
$16.42
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType EME Fair ValueEME Upside ESOA Fair ValueESOA Upside
Bayesian DCF Intrinsic $417.20 -50.8% $1.86 -88.7%
Earnings Power Value Intrinsic $210.32 -75.2% $5.66 -65.5%
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 EME vs ESOA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

EME vs ESOA — Which Stock Is More Undervalued?

EME scores higher with a 10.0/10 quality rating vs ESOA's 7.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing EMCOR Group, Inc. (EME) and Energy Services of America Corp (ESOA) 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.

EME currently trades at $848.45 with a QOC of 10.0/10, while ESOA trades at $16.42 with a QOC of 7.0/10.

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).