PVL vs REPX

Permianville Royalty Trust vs Riley Exploration Permian, Inc. — Valuation Comparison 2026

PVL

Crude Petroleum & Natural Gas
Permianville Royalty Trust
Quality
1.7
out of 10
Value Trap
Price
$1.89
Last close
Models
8/13
Active
VS

REPX

Crude Petroleum & Natural Gas
Riley Exploration Permian, Inc.
Quality
8.0
out of 10
Value Trap
12
SAFE
Price
$33.26
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType PVL Fair ValuePVL Upside REPX Fair ValueREPX Upside
Bayesian DCF Intrinsic $0.52 -72.5% $187.20 +462.8%
Earnings Power Value Intrinsic $8.23 -75.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $1.75 -7.3% $51.38 +54.5%
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 PVL vs REPX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

PVL vs REPX — Which Stock Is More Undervalued?

REPX scores higher with a 8.0/10 quality rating vs PVL's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Permianville Royalty Trust (PVL) and Riley Exploration Permian, Inc. (REPX) 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.

PVL currently trades at $1.89 with a QOC of 1.7/10, while REPX trades at $33.26 with a QOC of 8.0/10.

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).