TLN vs TVE

Talen Energy Corporation vs Tennessee Valley Authority — Valuation Comparison 2026

TLN

Electric Services
Talen Energy Corporation
Quality
4.7
out of 10
Value Trap
14
SAFE
Price
$386.80
Last close
Models
11/13
Active
VS

TVE

Electric Services
Tennessee Valley Authority
Quality
6.1
out of 10
Value Trap
Price
$23.55
Last close
Models
8/13
Active

Model-by-Model Comparison

ModelType TLN Fair ValueTLN Upside TVE Fair ValueTVE Upside
Bayesian DCF Intrinsic $102.74 -73.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $146.99 -58.0% $23.25 -1.4%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $21.52 -94.4% $25.92 +7.4%
Dynamic NAV Asset-Based $1.72 -92.7%
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 TLN vs TVE — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TLN vs TVE — Which Stock Is More Undervalued?

TVE scores higher with a 6.1/10 quality rating vs TLN's 4.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Talen Energy Corporation (TLN) and Tennessee Valley Authority (TVE) 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.

TLN currently trades at $386.80 with a QOC of 4.7/10, while TVE trades at $23.55 with a QOC of 6.1/10.

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).