HG vs HIG

Hamilton Insurance Group, Ltd. vs The Hartford Insurance Group, I — Valuation Comparison 2026

HG

Fire, Marine & Casualty Insurance
Hamilton Insurance Group, Ltd.
Quality
9.7
out of 10
Value Trap
12
SAFE
Price
$29.61
Last close
Models
12/13
Active
VS

HIG

Fire, Marine & Casualty Insurance
The Hartford Insurance Group, I
Quality
8.9
out of 10
Value Trap
12
SAFE
Price
$127.13
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType HG Fair ValueHG Upside HIG Fair ValueHIG Upside
Bayesian DCF Intrinsic $105.02 +254.7% $226.45 +78.1%
Earnings Power Value Intrinsic $32.40 +2.6% $123.33 -3.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 HG vs HIG — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

HG vs HIG — Which Stock Is More Undervalued?

HG scores higher with a 9.7/10 quality rating vs HIG's 8.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Hamilton Insurance Group, Ltd. (HG) and The Hartford Insurance Group, I (HIG) 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.

HG currently trades at $29.61 with a QOC of 9.7/10, while HIG trades at $127.13 with a QOC of 8.9/10.

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).