SO vs SOMN

Southern Company (The) vs Southern Company (The) 2025 Ser — Valuation Comparison 2026

SO

Electric Services
Southern Company (The)
Quality
6.6
out of 10
Value Trap
24
SAFE
Price
$92.05
Last close
Models
12/13
Active
VS

SOMN

Electric Services
Southern Company (The) 2025 Ser
Quality
6.2
out of 10
Value Trap
18
SAFE
Price
$50.30
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType SO Fair ValueSO Upside SOMN Fair ValueSOMN Upside
Bayesian DCF Intrinsic $66.86 -27.4% $164.15 +226.3%
Earnings Power Value Intrinsic $4.58 -95.3%
EROIC Spread Intrinsic $16.30 -82.3% $27.71 -44.9%
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 SO vs SOMN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SO vs SOMN — Which Stock Is More Undervalued?

SO scores higher with a 6.6/10 quality rating vs SOMN's 6.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Southern Company (The) (SO) and Southern Company (The) 2025 Ser (SOMN) 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.

SO currently trades at $92.05 with a QOC of 6.6/10, while SOMN trades at $50.30 with a QOC of 6.2/10.

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).