FIZZ vs KOF

National Beverage Corp. vs Coca Cola Femsa S.A.B. de C.V. — Valuation Comparison 2026

FIZZ

Bottled & Canned Soft Drinks & Carbonated Waters
National Beverage Corp.
Quality
9.3
out of 10
Value Trap
18
SAFE
Price
$36.99
Last close
Models
12/13
Active
VS

KOF

Bottled & Canned Soft Drinks & Carbonated Waters
Coca Cola Femsa S.A.B. de C.V.
Quality
2.7
out of 10
Value Trap
Price
$107.56
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType FIZZ Fair ValueFIZZ Upside KOF Fair ValueKOF Upside
Bayesian DCF Intrinsic $30.54 -17.4% $35.35 -67.1%
Earnings Power Value Intrinsic $19.04 -48.5% $48.72 -52.4%
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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FIZZ vs KOF — Which Stock Is More Undervalued?

FIZZ scores higher with a 9.3/10 quality rating vs KOF's 2.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing National Beverage Corp. (FIZZ) and Coca Cola Femsa S.A.B. de C.V. (KOF) 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.

FIZZ currently trades at $36.99 with a QOC of 9.3/10, while KOF trades at $107.56 with a QOC of 2.7/10.

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).