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Visual Photonics Epitaxy Co (2455) Fair Value & Analysis

Technology · TW · Market cap 65.1B TWD

Price397.00 TWD
Fair Value42.78 TWD
Upside-89.2%
Quality95/100
Evidence: High Range 26.14 TWD – 64.15 TWD

Analysis

Visual Photonics Epitaxy Co (2455) currently trades at 397.00 TWD, while our model-based Fair Value estimate is 42.78 TWD — implying the stock looks roughly 89.2% 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: high).

About the company

Visual Photonics Epitaxy Co., Ltd. engages in the research and development, manufacture, and sale of optoelectronic semiconductors and optoelectronic components products in Taiwan, the United States, China, and internationally. The company offers microelectronics epi wafers, including gallium arsenide (GaAs) heterojunction bipolar transistor (HBT), low turn-on voltage HBT, high voltage HBT, InP HBT and HEMT, GaAs pseudomorphic high electron mobility transistor (PHEMT) and BiHEMT, and GaN epi wafers. The company also provides optoelectronics epi wafers, such as GaAs PD, InGaAs PD and APD, Zn diffusion ready InGaAs PD and APD, long wavelength InGaAs PD, F-P and DFB LD, and VCSEL epi wafers; and solar cell epi wafers, as well as customerized epi foundry services. Visual Photonics Epitaxy Co., Ltd. was incorporated in 1996 and is based in Taoyuan City, Taiwan.

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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.