FWDI vs MDBH

Forward Industries, Inc. vs MDB Capital Holdings, LLC — Valuation Comparison 2026

FWDI

Finance Services
Forward Industries, Inc.
Quality
4.4
out of 10
Value Trap
46
WARN
Price
$4.55
Last close
Models
12/13
Active
VS

MDBH

Finance Services
MDB Capital Holdings, LLC
Quality
6.0
out of 10
Value Trap
6
SAFE
Price
$3.60
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType FWDI Fair ValueFWDI Upside MDBH Fair ValueMDBH Upside
Bayesian DCF Intrinsic $0.18 -96.1% $1.65 -54.2%
Earnings Power Value Intrinsic $0.59 -86.7% $1.57 -59.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
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 FWDI vs MDBH — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

FWDI vs MDBH — Which Stock Is More Undervalued?

MDBH scores higher with a 6.0/10 quality rating vs FWDI's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Forward Industries, Inc. (FWDI) 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.

FWDI currently trades at $4.55 with a QOC of 4.4/10, while MDBH trades at $3.60 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).