ARLP vs NRP

Alliance Resource Partners, L.P vs Natural Resource Partners LP Li — Valuation Comparison 2026

ARLP

Bituminous Coal & Lignite Surface Mining
Alliance Resource Partners, L.P
Quality
8.2
out of 10
Value Trap
12
SAFE
Price
$24.85
Last close
Models
13/13
Active
VS

NRP

Bituminous Coal & Lignite Surface Mining
Natural Resource Partners LP Li
Quality
7.3
out of 10
Value Trap
12
SAFE
Price
$103.93
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType ARLP Fair ValueARLP Upside NRP Fair ValueNRP Upside
Bayesian DCF Intrinsic $59.86 +140.9% $142.21 +36.8%
Earnings Power Value Intrinsic $30.46 +22.6% $69.75 -32.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 $•••.•• ••.•% $•••.•• ••.•%
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ARLP vs NRP — Which Stock Is More Undervalued?

ARLP scores higher with a 8.2/10 quality rating vs NRP's 7.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Alliance Resource Partners, L.P (ARLP) and Natural Resource Partners LP Li (NRP) 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.

ARLP currently trades at $24.85 with a QOC of 8.2/10, while NRP trades at $103.93 with a QOC of 7.3/10.

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).