BSAC vs BSBR

Banco Santander - Chile vs Banco Santander Brasil SA — Valuation Comparison 2026

BSAC

Banks - Regional
Banco Santander - Chile
Quality
3.8
out of 10
Value Trap
Price
$31.80
Last close
Models
9/13
Active
VS

BSBR

Banks - Regional
Banco Santander Brasil SA
Quality
6.1
out of 10
Value Trap
20
SAFE
Price
$5.45
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType BSAC Fair ValueBSAC Upside BSBR Fair ValueBSBR Upside
Bayesian DCF Intrinsic $2.26 -58.5%
Earnings Power Value Intrinsic $4.78 -12.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $166.85 +446.3%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $9.73 -69.4% $1.85 -66.1%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

BSAC vs BSBR — Which Stock Is More Undervalued?

BSBR scores higher with a 6.1/10 quality rating vs BSAC's 3.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Banco Santander - Chile (BSAC) and Banco Santander Brasil SA (BSBR) 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.

BSAC currently trades at $31.80 with a QOC of 3.8/10, while BSBR trades at $5.45 with a QOC of 6.1/10.

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).