TSSI vs VEEA

TSS, Inc. vs Veea Inc. — Valuation Comparison 2026

TSSI

Information Technology Services
TSS, Inc.
Quality
8.0
out of 10
Value Trap
18
SAFE
Price
$13.54
Last close
Models
13/13
Active
VS

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

Model-by-Model Comparison

ModelType TSSI Fair ValueTSSI Upside VEEA Fair ValueVEEA Upside
Bayesian DCF Intrinsic $3.24 -76.1% $0.04 -94.6%
Earnings Power Value Intrinsic $3.97 -70.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $1.24 -90.9% $0.02 -97.0%
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 TSSI vs VEEA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TSSI vs VEEA — Which Stock Is More Undervalued?

TSSI scores higher with a 8.0/10 quality rating vs VEEA's 4.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing TSS, Inc. (TSSI) and Veea Inc. (VEEA) 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.

TSSI currently trades at $13.54 with a QOC of 8.0/10, while VEEA trades at $0.66 with a QOC of 4.8/10.

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).