SemiLEDs Corporation (LEDS) Fair Value & Analysis
Technology · US · Market cap $16.1M
Fair value as of: Jun 24, 2026
Analysis
SemiLEDs Corporation (LEDS) currently trades at $1.82, while our model-based Fair Value estimate is $1.01 — implying the stock looks roughly 44.5% 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: medium).
About the company
SemiLEDs Corporation develops, manufactures, and sells light emitting diode (LED) chips, components, and modules and systems in the United States, Taiwan, the Netherlands, Japan, and internationally. The company also sells enhanced vertical, LED product series in blue, white, green, and UV; LED chips to packagers or distributors; and lighting products primarily to original design manufacturers of lighting products and the end-users of lighting devices, as well as packs and sells its LED products. Its products are used for general lighting applications, including commercial, industrial, and residential lighting; LED luminaries and LED retrofits; and specialty industrial applications, including ultraviolet curing of polymers, LED light therapy in medical/cosmetic applications, counterfeit detection, germicidal and viricidal devices, LED lighting for horticulture applications, architectural lighting, and entertainment lighting. SemiLEDs Corporation was incorporated in 2005 and is based…
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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.