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Lotes Co (3533) Fair Value & Analysis

Technology · TW · Market cap 265B TWD

Price2,235 TWD
Fair Value1,402 TWD
Upside-37.3%
Quality89/100
Evidence: Medium Range 876.55 TWD – 1,880 TWD

Analysis

Lotes Co (3533) currently trades at 2,235 TWD, while our model-based Fair Value estimate is 1,402 TWD — implying the stock looks roughly 37.3% overvalued today. We read business quality at 89/100 (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

Lotes Co., Ltd., together with its subsidiaries, designs, manufactures, and sells precision electronic interconnect components and hardware parts in Taiwan, China, and internationally. It offers CPU, sim card, SPI, and automotive sockets; liquid cooling solutions; memory connectors; slot/edge cards; single and double compression interposers; signal/power solutions, including bus bar, card edge, header, power wafer, and wire to board; and I/O series products, such as audio and power jacks, display port, HDMI, RJ45, SATA/SAS, sim card connector, and USB. The company also provides tact switches; battery holders; board to board solutions; FPC connectors; miniature RF; cable assembly; and automotive solutions comprising BMS, CCS, BOX, bus-bar, ECU, AC, AV, lighting, HV, e-bike, and wire harness series. It exports its products. The company was incorporated in 1986 and is headquartered in Keelung, 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.