VEEA vs VYX

Veea Inc. vs NCR Voyix Corporation — Valuation Comparison 2026

VEEA

Information Technology Services
Veea Inc.
Quality
4.8
out of 10
Value Trap
12
SAFE
Price
$0.66
Last close
Models
9/13
Active
VS

VYX

Information Technology Services
NCR Voyix Corporation
Quality
4.7
out of 10
Value Trap
45
WARN
Price
$6.78
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType VEEA Fair ValueVEEA Upside VYX Fair ValueVYX Upside
Bayesian DCF Intrinsic $0.04 -94.6%
Earnings Power Value Intrinsic $11.55 +70.4%
EROIC Spread Intrinsic $0.15 -72.1% $4.85 -28.4%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $0.02 -97.0% $3.43 -51.7%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

VEEA vs VYX — Which Stock Is More Undervalued?

VEEA scores higher with a 4.8/10 quality rating vs VYX's 4.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Veea Inc. (VEEA) and NCR Voyix Corporation (VYX) 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.

VEEA currently trades at $0.66 with a QOC of 4.8/10, while VYX trades at $6.78 with a QOC of 4.7/10.

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).