Everlight Electronics Co (2393) Fair Value & Analysis
Technology · TW · Market cap 31.4B TWD
Fair value as of: Jun 24, 2026
Analysis
Everlight Electronics Co (2393) currently trades at 69.70 TWD, while our model-based Fair Value estimate is 91.94 TWD — implying the stock looks roughly 31.9% undervalued today. We read business quality at 92/100 (high quality), in the Technology 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: high) — always confirm before acting.
About the company
Everlight Electronics Co., Ltd., together with its subsidiaries, engages in the manufacture and sale of light-emitting diode (LED) in Asia, Europe, and internationally. The company operates through LED, LCD, Illumination, and Other Department segments. It offers visible LEDs, including lighting, horticulture lighting, UV, flash, automotive, lamp, SMD, digital displays, backlight, and signage LEDs; infrared LEDs, such as silicon detectors, infrared receiver modules, optic fiber devices, and optical switches; ambient light, proximity, and color sensors; semi-power device, which includes SiC SBD, SiC MOSFET, and Si MOSFET; and photo couplers comprising photo transistors and darlington, schmitt triggers, high speed products, triac drivers, photo power triac drivers, solid state relays, and IGBT gate drivers. The company also manufactures and sells liquid crystal displays (LCD) and LCD modules. In addition, it sells lighting products, lamps, and accessories; business promotion and custom…
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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.