CSPI vs CYCU

CSP Inc. vs Cycurion, Inc. — Valuation Comparison 2026

CSPI

Information Technology Services
CSP Inc.
Quality
6.5
out of 10
Value Trap
24
SAFE
Price
$9.72
Last close
Models
13/13
Active
VS

CYCU

Information Technology Services
Cycurion, Inc.
Quality
3.5
out of 10
Value Trap
31
LOW
Price
$0.96
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType CSPI Fair ValueCSPI Upside CYCU Fair ValueCYCU Upside
Bayesian DCF Intrinsic $4.74 -51.2% $0.36 -62.2%
Earnings Power Value Intrinsic $6.93 -25.7% $0.62 -37.5%
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 CSPI vs CYCU — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CSPI vs CYCU — Which Stock Is More Undervalued?

CSPI scores higher with a 6.5/10 quality rating vs CYCU's 3.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing CSP Inc. (CSPI) and Cycurion, Inc. (CYCU) 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.

CSPI currently trades at $9.72 with a QOC of 6.5/10, while CYCU trades at $0.96 with a QOC of 3.5/10.

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).