DELL vs SCKT

Dell Technologies Inc. vs Socket Mobile, Inc. — Valuation Comparison 2026

DELL

Electronic Computers
Dell Technologies Inc.
Quality
8.5
out of 10
Value Trap
12
SAFE
Price
$420.91
Last close
Models
12/13
Active
VS

SCKT

Electronic Computers
Socket Mobile, Inc.
Quality
5.9
out of 10
Value Trap
27
LOW
Price
$0.96
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType DELL Fair ValueDELL Upside SCKT Fair ValueSCKT Upside
Bayesian DCF Intrinsic $116.41 -72.3% $0.13 -86.9%
Earnings Power Value Intrinsic $56.60 -86.6% $4.39 +386.5%
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 DELL vs SCKT — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

DELL vs SCKT — Which Stock Is More Undervalued?

DELL scores higher with a 8.5/10 quality rating vs SCKT's 5.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Dell Technologies Inc. (DELL) and Socket Mobile, Inc. (SCKT) 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.

DELL currently trades at $420.91 with a QOC of 8.5/10, while SCKT trades at $0.96 with a QOC of 5.9/10.

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).