PXS vs SBLK

Pyxis Tankers Inc. vs Star Bulk Carriers Corp. — Valuation Comparison 2026

PXS

Deep Sea Foreign Transportation of Freight
Pyxis Tankers Inc.
Quality
6.6
out of 10
Value Trap
12
SAFE
Price
$4.16
Last close
Models
11/13
Active
VS

SBLK

Deep Sea Foreign Transportation of Freight
Star Bulk Carriers Corp.
Quality
7.5
out of 10
Value Trap
20
SAFE
Price
$27.25
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType PXS Fair ValuePXS Upside SBLK Fair ValueSBLK Upside
Bayesian DCF Intrinsic $7.83 +88.2% $22.39 -17.8%
Earnings Power Value Intrinsic $24.31 -10.8%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $7.82 +67.2% $30.46 +11.8%
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 PXS vs SBLK — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

PXS vs SBLK — Which Stock Is More Undervalued?

SBLK scores higher with a 7.5/10 quality rating vs PXS's 6.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Pyxis Tankers Inc. (PXS) and Star Bulk Carriers Corp. (SBLK) 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.

PXS currently trades at $4.16 with a QOC of 6.6/10, while SBLK trades at $27.25 with a QOC of 7.5/10.

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).