SHEL vs TBN

Shell PLC vs Tamboran Resources Corporation — 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

TBN

Crude Petroleum & Natural Gas
Tamboran Resources Corporation
Quality
4.4
out of 10
Value Trap
Price
$33.61
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType SHEL Fair ValueSHEL Upside TBN Fair ValueTBN Upside
Bayesian DCF Intrinsic $251.94 +199.5% $8.04 -76.1%
Earnings Power Value Intrinsic $46.06 -45.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $145.46 +72.9% $9.78 -70.9%
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 TBN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SHEL vs TBN — Which Stock Is More Undervalued?

SHEL scores higher with a 7.7/10 quality rating vs TBN's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Shell PLC (SHEL) and Tamboran Resources Corporation (TBN) 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 TBN trades at $33.61 with a QOC of 4.4/10.

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).