Taylor Devices, Inc (TAYD) Fair Value & Analysis
Industrials · US · Market cap $191M
Fair value as of: Jun 24, 2026
Analysis
Taylor Devices, Inc (TAYD) currently trades at $58.89, while our model-based Fair Value estimate is $31.22 — implying the stock looks roughly 47.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Taylor Devices, Inc. designs, develops, manufactures, and markets shock absorption, rate control, and energy storage devices for use in machinery, equipment, and structures in the United States, Asia, and internationally. The company offers seismic dampers that are designed to mitigate the effects of earthquakes on structures; Fluidicshoks, which are compact shock absorbers primarily used in the defense, aerospace, and commercial industries; and crane and industrial buffers, which are larger versions of Fluidicshoks for industrial applications on cranes and crane trolleys, truck docks, ladle and ingot cars, ore trolleys and train car stops. It also provides self-adjusting shock absorbers that include versions of Fluidicshoks, and crane and industrial buffers, which automatically adjust to various impact conditions and are designed for high cycle application primarily in the heavy industry; liquid die springs that are used as component parts of machinery and equipment used in the man…
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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.