BYRN vs CW

Byrna Technologies, Inc. vs Curtiss-Wright Corporation — Valuation Comparison 2026

BYRN

Aerospace & Defense
Byrna Technologies, Inc.
Quality
8.2
out of 10
Value Trap
12
SAFE
Price
$6.55
Last close
Models
12/13
Active
VS

CW

Aerospace & Defense
Curtiss-Wright Corporation
Quality
9.6
out of 10
Value Trap
18
SAFE
Price
$747.73
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType BYRN Fair ValueBYRN Upside CW Fair ValueCW Upside
Bayesian DCF Intrinsic $1.84 -72.0% $162.47 -78.3%
Earnings Power Value Intrinsic $5.36 -18.1% $92.21 -87.7%
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 BYRN vs CW — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

BYRN vs CW — Which Stock Is More Undervalued?

CW scores higher with a 9.6/10 quality rating vs BYRN's 8.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Byrna Technologies, Inc. (BYRN) and Curtiss-Wright Corporation (CW) 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.

BYRN currently trades at $6.55 with a QOC of 8.2/10, while CW trades at $747.73 with a QOC of 9.6/10.

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).