SIGI vs STC

Selective Insurance Group, Inc. vs Stewart Information Services Co — Valuation Comparison 2026

SIGI

Insurance - Property & Casualty
Selective Insurance Group, Inc.
Quality
5.6
out of 10
Value Trap
18
SAFE
Price
$87.29
Last close
Models
13/13
Active
VS

STC

Insurance - Property & Casualty
Stewart Information Services Co
Quality
8.2
out of 10
Value Trap
33
LOW
Price
$66.11
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType SIGI Fair ValueSIGI Upside STC Fair ValueSTC Upside
Bayesian DCF Intrinsic $38.80 -55.5% $97.18 +47.0%
Earnings Power Value Intrinsic $53.22 -39.0% $15.24 -77.0%
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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SIGI vs STC — Which Stock Is More Undervalued?

STC scores higher with a 8.2/10 quality rating vs SIGI's 5.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Selective Insurance Group, Inc. (SIGI) and Stewart Information Services Co (STC) 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.

SIGI currently trades at $87.29 with a QOC of 5.6/10, while STC trades at $66.11 with a QOC of 8.2/10.

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).