SHEL vs TALO

Shell PLC vs Talos Energy, Inc. — Valuation Comparison 2026

SHEL

Crude Petroleum & Natural Gas
Shell PLC
Quality
7.7
out of 10
Value Trap
5
SAFE
Price
$84.12
Last close
Models
13/13
Active
VS

TALO

Crude Petroleum & Natural Gas
Talos Energy, Inc.
Quality
6.1
out of 10
Value Trap
30
LOW
Price
$14.67
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType SHEL Fair ValueSHEL Upside TALO Fair ValueTALO Upside
Bayesian DCF Intrinsic $251.94 +199.5%
Earnings Power Value Intrinsic $46.06 -45.2% $1.28 -91.8%
EROIC Spread Intrinsic $58.70 -30.2% $8.61 -42.2%
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 SHEL vs TALO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SHEL vs TALO — Which Stock Is More Undervalued?

SHEL scores higher with a 7.7/10 quality rating vs TALO's 6.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Shell PLC (SHEL) and Talos Energy, Inc. (TALO) 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.

SHEL currently trades at $84.12 with a QOC of 7.7/10, while TALO trades at $14.67 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).