Aehr Test Systems, Inc (AEHR) Fair Value & Analysis
Technology · US · Market cap $3.6B
Analysis
Aehr Test Systems, Inc (AEHR) currently trades at $102.39, while our model-based Fair Value estimate is $11.72 — implying the stock looks roughly 88.6% 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
Aehr Test Systems, Inc. provides test solutions for testing, burning-in, and semiconductor devices in wafer level, singulated die, package part form, and installed systems in the United States, Asia, and Europe. Its product portfolio includes FOX-XP and FOX-NP systems that are full wafer contact and singulated die/module test and burn-in systems that test, burn-in, and stabilize range of devices, including silicon carbide-based and other power semiconductors, 2D, and 3D sensors used in mobile phones, tablets and other computing devices, memory semiconductors, processors, microcontrollers, systems-on-a-chip, and photonics and integrated optical devices. The company offers FOX-CP system, a low-cost single-wafer compact test solution for logic, memory, and photonic devices; and FOX WaferPak Contactor, a full wafer contactor capable of testing wafers up to 300mm that enables integrated circuit manufacturers to perform test, burn-in, and stabilization of full wafers on the FOX-P systems.…
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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.