IBN vs INTR

ICICI Bank Limited vs Inter & Co. Inc. — Valuation Comparison 2026

IBN

Commercial Banks, NEC
ICICI Bank Limited
Quality
1.7
out of 10
Value Trap
Price
$26.23
Last close
Models
9/13
Active
VS

INTR

Commercial Banks, NEC
Inter & Co. Inc.
Quality
8.6
out of 10
Value Trap
12
SAFE
Price
$6.17
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType IBN Fair ValueIBN Upside INTR Fair ValueINTR Upside
Bayesian DCF Intrinsic $8.47 -67.7% $6.66 +7.9%
Earnings Power Value Intrinsic $10.33 -62.6% $5.47 -11.4%
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 IBN vs INTR — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

IBN vs INTR — Which Stock Is More Undervalued?

INTR scores higher with a 8.6/10 quality rating vs IBN's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing ICICI Bank Limited (IBN) and Inter & Co. Inc. (INTR) 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.

IBN currently trades at $26.23 with a QOC of 1.7/10, while INTR trades at $6.17 with a QOC of 8.6/10.

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).