MWH vs STRL

SOLV Energy, Inc. vs Sterling Infrastructure, Inc. — Valuation Comparison 2026

MWH

Heavy Construction Other Than Bldg Const - Contractors
SOLV Energy, Inc.
Quality
1.7
out of 10
Value Trap
Price
$35.53
Last close
Models
13/13
Active
VS

STRL

Heavy Construction Other Than Bldg Const - Contractors
Sterling Infrastructure, Inc.
Quality
10.0
out of 10
Value Trap
6
SAFE
Price
$860.84
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType MWH Fair ValueMWH Upside STRL Fair ValueSTRL Upside
Bayesian DCF Intrinsic $11.36 -68.0% $204.05 -76.3%
Earnings Power Value Intrinsic $16.89 -56.5% $128.48 -85.1%
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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MWH vs STRL — Which Stock Is More Undervalued?

STRL scores higher with a 10.0/10 quality rating vs MWH's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing SOLV Energy, Inc. (MWH) and Sterling Infrastructure, Inc. (STRL) 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.

MWH currently trades at $35.53 with a QOC of 1.7/10, while STRL trades at $860.84 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).