ESCO Technologies Inc (ESE) Fair Value & Analysis
Technology · US · Market cap $7.6B
Analysis
ESCO Technologies Inc (ESE) currently trades at $343.08, while our model-based Fair Value estimate is $106.95 — implying the stock looks roughly 68.8% 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: high).
About the company
ESCO Technologies Inc. provides engineered components and systems for aviation, navy, defense, and industrial customers. The Aerospace & Defense segment designs and manufactures specialty filtration products, including hydraulic filter elements and fluid control devices used in commercial and defense aerospace applications; miniature electro-explosive devices for military aircraft ejection seats and missile arming devices; manufactures and sells mission-critical bushings, pins, sleeves, and precision-tolerance machined components for landing gear, rotor heads, engine mounts, flight controls, and actuation systems for the aerospace and defense industries; designs, develops and manufactures elastomeric-based signature reduction solutions for U.S. naval vessels; and provides mission-critical signature and power management solutions. The Utility Solutions Group segment develops, manufactures, and delivers diagnostic testing solutions; and designs and manufactures decision support tools …
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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.