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AXT, Inc (AXTI) Fair Value & Analysis

Technology · US · Market cap $7.3B

Price$77.91
Fair Value$12.53
Upside-83.9%
Quality80/100
Evidence: Low Range $9.40 – $15.66

Analysis

AXT, Inc (AXTI) currently trades at $77.91, while our model-based Fair Value estimate is $12.53 — implying the stock looks roughly 83.9% overvalued today. We read business quality at 80/100 (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

AXT, Inc. designs, develops, manufactures, and distributes compound and single element semiconductor substrates. The company provides indium phosphide for use in data center connectivity using light/lasers, high-speed data transfer in data centers, 5G communications, fiber optic lasers and detectors, consumer devices, passive optical networks, silicon photonics, photonic integrated circuits, thermo-photovoltaics, RF amplifier and switching, infrared light-emitting diode (LEDS) motion control, lidar for robotics and autonomous vehicles, and infrared thermal imaging. It also offers semi-insulating gallium arsenide (GaAs) substrates for use in Wi-Fi and IoT devices, transistors, direct broadcast television, power amplifiers, satellite communications, and solar cells; and semi-conducting GaAs substrates that are used in LEDs, screen displays using micro-LEDs, printer head lasers and LEDs, 3-D sensing using VCSELs, data center communication using VCSELs, sensors for industrial robotics/n…

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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.