TPC vs WLDN

Tutor Perini Corporation vs Willdan Group, Inc. — Valuation Comparison 2026

TPC

Engineering & Construction
Tutor Perini Corporation
Quality
6.2
out of 10
Value Trap
12
SAFE
Price
$73.27
Last close
Models
13/13
Active
VS

WLDN

Engineering & Construction
Willdan Group, Inc.
Quality
8.5
out of 10
Value Trap
18
SAFE
Price
$92.20
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType TPC Fair ValueTPC Upside WLDN Fair ValueWLDN Upside
Bayesian DCF Intrinsic $10.95 -85.1% $23.72 -74.3%
Earnings Power Value Intrinsic $18.95 -74.1% $31.00 -66.4%
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 TPC vs WLDN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TPC vs WLDN — Which Stock Is More Undervalued?

WLDN scores higher with a 8.5/10 quality rating vs TPC's 6.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Tutor Perini Corporation (TPC) and Willdan Group, Inc. (WLDN) 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.

TPC currently trades at $73.27 with a QOC of 6.2/10, while WLDN trades at $92.20 with a QOC of 8.5/10.

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).