The Middleby Corporation (MIDD) Fair Value & Analysis
Industrials · US · Market cap $7.0B
Fair value as of: Jun 24, 2026
Analysis
The Middleby Corporation (MIDD) currently trades at $163.77, while our model-based Fair Value estimate is $178.22 — implying the stock looks roughly 8.8% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
The Middleby Corporation designs, manufactures, markets, distributes, and services of commercial restaurant and food processing equipment worldwide. Its Commercial Foodservice Equipment Group segment offers conveyor, combi, convection, baking, proofing, deck, speed cooking, and hydrovection ovens; ranges, fryers, and rethermalizers; steam cooking, food warming, catering, induction, and countertop cooking equipment; heated cabinets, charbroilers, ventless cooking systems, kitchen ventilation, toasters, griddles, charcoal grills, professional mixers and refrigerators, stainless steel fabrication, custom millwork, blast chillers, coldrooms, ice machines, and frozen dessert equipment; soft serve ice cream, coffee and beverage dispensing, home and professional craft brewing equipment; and fry dispenser, bottle filling and canning equipment, IoT solutions, and controls development and manufacturing. The Food Processing Equipment Group segment provides batch, baking, proofing, conveyor bel…
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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.