BAOS vs CRTO

Baosheng Media Group Holdings L vs Criteo S.A. — Valuation Comparison 2026

BAOS

Advertising Agencies
Baosheng Media Group Holdings L
Quality
2.5
out of 10
Value Trap
Price
$2.81
Last close
Models
13/13
Active
VS

CRTO

Advertising Agencies
Criteo S.A.
Quality
8.9
out of 10
Value Trap
25
LOW
Price
$18.29
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType BAOS Fair ValueBAOS Upside CRTO Fair ValueCRTO Upside
Bayesian DCF Intrinsic $0.56 -80.2% $62.92 +244.0%
Earnings Power Value Intrinsic $0.42 -84.0% $28.87 +57.9%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

BAOS vs CRTO — Which Stock Is More Undervalued?

CRTO scores higher with a 8.9/10 quality rating vs BAOS's 2.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Baosheng Media Group Holdings L (BAOS) and Criteo S.A. (CRTO) 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.

BAOS currently trades at $2.81 with a QOC of 2.5/10, while CRTO trades at $18.29 with a QOC of 8.9/10.

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).