NMM vs PANL

Navios Maritime Partners LP vs Pangaea Logistics Solutions Ltd — Valuation Comparison 2026

NMM

Deep Sea Foreign Transportation of Freight
Navios Maritime Partners LP
Quality
9.0
out of 10
Value Trap
18
SAFE
Price
$69.27
Last close
Models
13/13
Active
VS

PANL

Deep Sea Foreign Transportation of Freight
Pangaea Logistics Solutions Ltd
Quality
8.7
out of 10
Value Trap
20
SAFE
Price
$7.57
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType NMM Fair ValueNMM Upside PANL Fair ValuePANL Upside
Bayesian DCF Intrinsic $176.62 +155.0% $9.47 +25.1%
Earnings Power Value Intrinsic $177.49 +156.2% $2.15 -71.6%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

NMM vs PANL — Which Stock Is More Undervalued?

NMM scores higher with a 9.0/10 quality rating vs PANL's 8.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Navios Maritime Partners LP (NMM) and Pangaea Logistics Solutions Ltd (PANL) 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.

NMM currently trades at $69.27 with a QOC of 9.0/10, while PANL trades at $7.57 with a QOC of 8.7/10.

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).