ESP vs MPTI

Espey Mfg. & Electronics Corp. vs M-tron Industries, Inc. — Valuation Comparison 2026

ESP

Electronic Components, NEC
Espey Mfg. & Electronics Corp.
Quality
8.9
out of 10
Value Trap
26
LOW
Price
$57.95
Last close
Models
13/13
Active
VS

MPTI

Electronic Components, NEC
M-tron Industries, Inc.
Quality
10.0
out of 10
Value Trap
6
SAFE
Price
$91.00
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType ESP Fair ValueESP Upside MPTI Fair ValueMPTI Upside
Bayesian DCF Intrinsic $63.66 +9.9% $19.16 -78.9%
Earnings Power Value Intrinsic $31.40 -45.8% $23.01 -74.7%
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 ESP vs MPTI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ESP vs MPTI — Which Stock Is More Undervalued?

MPTI scores higher with a 10.0/10 quality rating vs ESP's 8.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Espey Mfg. & Electronics Corp. (ESP) and M-tron Industries, Inc. (MPTI) 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.

ESP currently trades at $57.95 with a QOC of 8.9/10, while MPTI trades at $91.00 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).