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LFA Co (3226) Fair Value & Analysis

Industrials · TW · Market cap 3.1B TWD

Price48.95 TWD
Fair Value17.31 TWD
Upside-64.6%
Quality95/100
Evidence: Medium Range 13.15 TWD – 17.31 TWD

Fair value as of: Jun 24, 2026

Analysis

LFA Co (3226) currently trades at 48.95 TWD, while our model-based Fair Value estimate is 17.31 TWD — implying the stock looks roughly 64.6% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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

LFA Co., Ltd. engages in the manufacture and sale of automotive components, electronic components, and power supplies in Taiwan. It offers LED headlight, truck headlight, fog light, car LED tail lamp, and truck LED headlight. The company was formerly known as Topower Co., Ltd. and changed its name to LFA Co., Ltd. in December 2024. LFA Co., Ltd. was founded in 1975 and is headquartered in Tainan City, Taiwan.

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Frequently asked questions

Is LFA Co (3226) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 17.31 TWD versus a price of 48.95 TWD — about −65% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 3226?
Our 21-model fair value for LFA Co is 17.31 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 48.95 TWD.
What is the quality score of 3226?
LFA 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.