DIT vs MTEX

AMCON Distributing Company vs Mannatech, Incorporated — Valuation Comparison 2026

DIT

Food Distribution
AMCON Distributing Company
Quality
8.1
out of 10
Value Trap
Price
$81.89
Last close
Models
12/13
Active
VS

MTEX

Food Distribution
Mannatech, Incorporated
Quality
5.8
out of 10
Value Trap
22
SAFE
Price
$5.71
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType DIT Fair ValueDIT Upside MTEX Fair ValueMTEX Upside
Bayesian DCF Intrinsic $52.23 -36.2% $1.32 -76.9%
Earnings Power Value Intrinsic $31.36 -64.7% $4.97 -12.9%
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 DIT vs MTEX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

DIT vs MTEX — Which Stock Is More Undervalued?

DIT scores higher with a 8.1/10 quality rating vs MTEX's 5.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing AMCON Distributing Company (DIT) and Mannatech, Incorporated (MTEX) 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.

DIT currently trades at $81.89 with a QOC of 8.1/10, while MTEX trades at $5.71 with a QOC of 5.8/10.

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).