Fittech Co (6706) Fair Value & Analysis
Industrials · TW · Market cap 13.1B TWD
Fair value as of: Jun 24, 2026
Analysis
Fittech Co (6706) currently trades at 160.00 TWD, while our model-based Fair Value estimate is 219.74 TWD — implying the stock looks roughly 37.3% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low) — always confirm before acting.
About the company
Fittech Co., Ltd. provides automatic equipment and system integration services in Taiwan, China, Asia, and internationally. The company offers LED/MiniLED test solutions, including LED chip and wafer, auto LED wafer, LED flip chip/wafer, auto flip-chip, auto LED chip probing and testing systems, auto production LED mapping sorters, high accuracy automatic chip counters, and automatic detaching tape systems. It also provides MicroLED test and transfer solutions; auto semiconductor wafer probing systems; and laser cleaning solutions, such as handheld laser, laser cleaning system, and semi-auto probe pin laser cleaners. In addition, the company offers optoelectronics test solutions, including integrated VCSEL wafer, VCSEL wafer, VCSEL near field wafer, VCSEL far field wafer, flip chip VCSEL wafer, PD, laser diode probing and testing systems, auto edge emitting laser bar testers, low temp. edge emitting laser probing and sorting systems, COC-COS testing and sorting systems, semi-auto wa…
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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.