TPET vs TXO

Trio Petroleum Corp. vs TXO Partners, L.P. — Valuation Comparison 2026

TPET

Crude Petroleum & Natural Gas
Trio Petroleum Corp.
Quality
5.0
out of 10
Value Trap
Price
$0.36
Last close
Models
11/13
Active
VS

TXO

Crude Petroleum & Natural Gas
TXO Partners, L.P.
Quality
6.2
out of 10
Value Trap
26
LOW
Price
$12.72
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType TPET Fair ValueTPET Upside TXO Fair ValueTXO Upside
Bayesian DCF Intrinsic $0.10 -71.6% $35.71 +180.7%
Earnings Power Value Intrinsic $0.08 -84.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $18.28 +48.9%
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 TPET vs TXO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TPET vs TXO — Which Stock Is More Undervalued?

TXO scores higher with a 6.2/10 quality rating vs TPET's 5.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Trio Petroleum Corp. (TPET) and TXO Partners, L.P. (TXO) 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.

TPET currently trades at $0.36 with a QOC of 5.0/10, while TXO trades at $12.72 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).