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Megawin Technology Co (3122) Fair Value & Analysis

Technology · TW · Market cap 1.2B TWD

Price31.75 TWD
Fair Value26.68 TWD
Upside-16.0%
Quality95/100
Evidence: Low Range 20.01 TWD – 33.35 TWD

Fair value as of: Jun 24, 2026

Analysis

Megawin Technology Co (3122) currently trades at 31.75 TWD, while our model-based Fair Value estimate is 26.68 TWD — implying the stock looks roughly 16.0% 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: low).

About the company

Megawin Technology Co., Ltd., together with its subsidiaries, engages in the manufacture and sale of electronic instruments and their components in Asia, Europe, and internationally. The company offers ARM Cortex-M0+; ARM Cortex-M0; 8051MCU; USB product; BLDC products; PMIC; automotive and peripheral ICs; and photocoupler. Its products are used in industrial automation, smart home, motor control, new energy, and arduino applications. The company was incorporated in 1988 and is headquartered in Jhubei City, Taiwan.

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Frequently asked questions

Is Megawin Technology Co (3122) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 26.68 TWD versus a price of 31.75 TWD — about −16% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 3122?
Our 21-model fair value for Megawin Technology Co is 26.68 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 31.75 TWD.
What is the quality score of 3122?
Megawin Technology Co 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.