JYD vs PSIG

Jayud Global Logistics Limited vs PS International Group Ltd. — Valuation Comparison 2026

JYD

Arrangement of Transportation of Freight & Cargo
Jayud Global Logistics Limited
Quality
6.9
out of 10
Value Trap
18
SAFE
Price
$0.70
Last close
Models
9/13
Active
VS

PSIG

Arrangement of Transportation of Freight & Cargo
PS International Group Ltd.
Quality
2.1
out of 10
Value Trap
Price
$8.30
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType JYD Fair ValueJYD Upside PSIG Fair ValuePSIG Upside
Bayesian DCF Intrinsic $0.44 -36.8% $1.55 -81.3%
Earnings Power Value Intrinsic $0.15 -97.2% $0.34 -94.6%
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 $•••.•• ••.•% $•••.•• ••.•%
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JYD vs PSIG — Which Stock Is More Undervalued?

JYD scores higher with a 6.9/10 quality rating vs PSIG's 2.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Jayud Global Logistics Limited (JYD) and PS International Group Ltd. (PSIG) 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.

JYD currently trades at $0.70 with a QOC of 6.9/10, while PSIG trades at $8.30 with a QOC of 2.1/10.

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).