LNT vs UTL

Alliant Energy Corporation vs UNITIL Corporation — Valuation Comparison 2026

LNT

Electric & Other Services Combined
Alliant Energy Corporation
Quality
7.5
out of 10
Value Trap
12
SAFE
Price
$71.61
Last close
Models
13/13
Active
VS

UTL

Electric & Other Services Combined
UNITIL Corporation
Quality
6.7
out of 10
Value Trap
18
SAFE
Price
$50.03
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType LNT Fair ValueLNT Upside UTL Fair ValueUTL Upside
Bayesian DCF Intrinsic $7.93 -88.9% $62.39 +24.7%
Earnings Power Value Intrinsic $3.54 -95.2%
EROIC Spread Intrinsic $13.31 -81.4% $19.86 -60.3%
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 LNT vs UTL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

LNT vs UTL — Which Stock Is More Undervalued?

LNT scores higher with a 7.5/10 quality rating vs UTL's 6.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Alliant Energy Corporation (LNT) and UNITIL Corporation (UTL) 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.

LNT currently trades at $71.61 with a QOC of 7.5/10, while UTL trades at $50.03 with a QOC of 6.7/10.

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).