Methode Electronics, Inc (MEI) Fair Value & Analysis
Technology · US · Market cap $497M
Fair value as of: Jun 25, 2026
Analysis
Methode Electronics, Inc (MEI) currently trades at $13.09, while our model-based Fair Value estimate is $5.93 — implying the stock looks roughly 54.7% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Methode Electronics, Inc. designs, engineers, produces, and sells mechatronic products internationally. The company operates in three segments: Automotive, Industrial, and Interface. The Automotive segment supplies electronic and electro-mechanical devices and related products to automobile original equipment manufacturers directly or through their tiered suppliers. This segment products include integrated overhead and center consoles, hidden and ergonomic switches, transmission lead-frames, complex insert molded solutions, LED-based lighting solutions, and sensors, which incorporate magneto-elastic sensing, or other sensing technologies that monitor the operation or status of a component or system. The Industrial segment manufactures exterior and interior lighting solutions, industrial safety radio remote controls, braided flexible cables, current-carrying laminated busbars and devices, custom power-product assemblies comprising PowerRail solutions, high-current high-voltage flexib…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.