HURC vs KEYS

Hurco Companies, Inc. vs Keysight Technologies Inc. — Valuation Comparison 2026

HURC

Industrial Instruments For Measurement, Display, and Control
Hurco Companies, Inc.
Quality
7.6
out of 10
Value Trap
20
SAFE
Price
$17.17
Last close
Models
13/13
Active
VS

KEYS

Industrial Instruments For Measurement, Display, and Control
Keysight Technologies Inc.
Quality
8.3
out of 10
Value Trap
19
SAFE
Price
$338.33
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType HURC Fair ValueHURC Upside KEYS Fair ValueKEYS Upside
Bayesian DCF Intrinsic $39.31 +128.9% $122.27 -63.9%
Earnings Power Value Intrinsic $9.60 -44.3% $54.79 -83.8%
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 $•••.•• ••.•% $•••.•• ••.•%
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HURC vs KEYS — Which Stock Is More Undervalued?

KEYS scores higher with a 8.3/10 quality rating vs HURC's 7.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Hurco Companies, Inc. (HURC) and Keysight Technologies Inc. (KEYS) 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.

HURC currently trades at $17.17 with a QOC of 7.6/10, while KEYS trades at $338.33 with a QOC of 8.3/10.

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).