LU vs MDBH

Lufax Holding Ltd vs MDB Capital Holdings, LLC — Valuation Comparison 2026

LU

Finance Services
Lufax Holding Ltd
Quality
4.9
out of 10
Value Trap
8
SAFE
Price
$1.65
Last close
Models
8/13
Active
VS

MDBH

Finance Services
MDB Capital Holdings, LLC
Quality
6.0
out of 10
Value Trap
6
SAFE
Price
$3.50
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType LU Fair ValueLU Upside MDBH Fair ValueMDBH Upside
Bayesian DCF Intrinsic $1.65 -52.9%
Earnings Power Value Intrinsic $1.57 -59.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $4.65 +181.6% $1.38 -60.5%
Markov DDM Intrinsic $7.62 +361.9%
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 LU vs MDBH — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

LU vs MDBH — Which Stock Is More Undervalued?

MDBH scores higher with a 6.0/10 quality rating vs LU's 4.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Lufax Holding Ltd (LU) and MDB Capital Holdings, LLC (MDBH) 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.

LU currently trades at $1.65 with a QOC of 4.9/10, while MDBH trades at $3.50 with a QOC of 6.0/10.

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).