JVA vs MKC

Coffee Holding Co., Inc. vs McCormick & Company, Incorporat — Valuation Comparison 2026

JVA

Miscellaneous Food Preparations & Kindred Products
Coffee Holding Co., Inc.
Quality
7.4
out of 10
Value Trap
Price
$4.30
Last close
Models
13/13
Active
VS

MKC

Miscellaneous Food Preparations & Kindred Products
McCormick & Company, Incorporat
Quality
8.1
out of 10
Value Trap
Price
$47.37
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType JVA Fair ValueJVA Upside MKC Fair ValueMKC Upside
Bayesian DCF Intrinsic $0.78 -81.8% $23.39 -50.6%
Earnings Power Value Intrinsic $2.57 -40.2% $9.87 -79.2%
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 $•••.•• ••.•% $•••.•• ••.•%
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JVA vs MKC — Which Stock Is More Undervalued?

MKC scores higher with a 8.1/10 quality rating vs JVA's 7.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Coffee Holding Co., Inc. (JVA) and McCormick & Company, Incorporat (MKC) 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.

JVA currently trades at $4.30 with a QOC of 7.4/10, while MKC trades at $47.37 with a QOC of 8.1/10.

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).