CAMT vs NVMI

Camtek Ltd. vs Nova Ltd. — Valuation Comparison 2026

CAMT

Optical Instruments & Lenses
Camtek Ltd.
Quality
10.0
out of 10
Value Trap
11
SAFE
Price
$171.66
Last close
Models
13/13
Active
VS

NVMI

Optical Instruments & Lenses
Nova Ltd.
Quality
10.0
out of 10
Value Trap
6
SAFE
Price
$502.33
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType CAMT Fair ValueCAMT Upside NVMI Fair ValueNVMI Upside
Bayesian DCF Intrinsic $35.00 -79.6% $99.84 -80.1%
Earnings Power Value Intrinsic $46.92 -72.7% $64.39 -87.2%
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 CAMT vs NVMI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CAMT vs NVMI — Which Stock Is More Undervalued?

Both CAMT and NVMI score 10.0/10 on quality. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Camtek Ltd. (CAMT) and Nova Ltd. (NVMI) 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.

CAMT currently trades at $171.66 with a QOC of 10.0/10, while NVMI trades at $502.33 with a QOC of 10.0/10.

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).