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Cubtek Inc (2252) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 1.8B TWD

Price18.65 TWD
Fair Value17.29 TWD
Upside-7.3%
Quality95/100
Evidence: Low Range 12.97 TWD – 21.61 TWD

Fair value as of: Jun 24, 2026

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Analysis

Cubtek Inc (2252) currently trades at 18.65 TWD, while our model-based Fair Value estimate is 17.29 TWD — implying the stock looks roughly 7.3% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: low).

About the company

Cubtek Inc. researches and develops, designs, manufactures, and sells automotive safety parts and systems in Taiwan, China, and internationally. It offers ADAS systems for commercial and passenger vehicles. It also provides radar products, including steering assist, long and short range, blind spot and reversing dual channel, in cabin monitoring, 4D imaging, and front blind spot radars. In addition, it manufactures and trades in related parts. The company was incorporated in 2011 and is headquartered in Zhubei, Taiwan.

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Frequently asked questions

Is Cubtek Inc (2252) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 17.29 TWD versus a price of 18.65 TWD — about −7% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 2252?
Our 21-model fair value for Cubtek Inc is 17.29 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 18.65 TWD.
What is the quality score of 2252?
Cubtek Inc has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.