PVL vs RKDA

Permianville Royalty Trust vs Arcadia Biosciences, 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

RKDA

Crude Petroleum & Natural Gas
Arcadia Biosciences, Inc.
Quality
5.4
out of 10
Value Trap
30
LOW
Price
$0.96
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType PVL Fair ValuePVL Upside RKDA Fair ValueRKDA Upside
Bayesian DCF Intrinsic $0.52 -72.5% $0.44 -54.1%
Earnings Power Value Intrinsic $1.35 +20.8%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $1.75 -7.3% $1.94 +100.9%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for PVL vs RKDA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

PVL vs RKDA — Which Stock Is More Undervalued?

RKDA scores higher with a 5.4/10 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 Arcadia Biosciences, Inc. (RKDA) 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 RKDA trades at $0.96 with a QOC of 5.4/10.

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).