TRP vs WES

TC Energy Corporation vs Western Midstream Partners, LP — Valuation Comparison 2026

TRP

Natural Gas Transmission
TC Energy Corporation
Quality
8.0
out of 10
Value Trap
18
SAFE
Price
$66.62
Last close
Models
11/13
Active
VS

WES

Natural Gas Transmission
Western Midstream Partners, LP
Quality
8.1
out of 10
Value Trap
20
SAFE
Price
$42.87
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType TRP Fair ValueTRP Upside WES Fair ValueWES Upside
Bayesian DCF Intrinsic $43.26 -35.1% $65.13 +51.9%
Earnings Power Value Intrinsic $46.04 -30.9% $16.51 -61.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 TRP vs WES — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TRP vs WES — Which Stock Is More Undervalued?

WES scores higher with a 8.1/10 quality rating vs TRP's 8.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing TC Energy Corporation (TRP) and Western Midstream Partners, LP (WES) 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.

TRP currently trades at $66.62 with a QOC of 8.0/10, while WES trades at $42.87 with a QOC of 8.1/10.

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).