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AGV Products Corporation (1217) Fair Value & Analysis

Consumer Defensive · TW · Market cap 4.9B TWD

Price9.83 TWD
Fair Value8.86 TWD
Upside-9.9%
Quality88/100
Evidence: Medium Range 6.65 TWD – 11.08 TWD

Fair value as of: Jun 24, 2026

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Analysis

AGV Products Corporation (1217) currently trades at 9.83 TWD, while our model-based Fair Value estimate is 8.86 TWD — implying the stock looks roughly 9.9% overvalued today. We read business quality at 88/100 (high quality), in the Consumer Defensive 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

AGV Products Corporation engages in the manufacturing, processing, and sale of beverages and canned goods in Taiwan and Mainland China. The company offers beverages, instant powders, fruit juices, dairy products, refrigerated series, desserts, traditional food, conditioning, oil products, and health products. It is also involved in the commissioning of construction companies to build residential and commercial buildings for leasing and sale. The company was founded in 1971 and is based in Chiayi Hsien, Taiwan.

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Frequently asked questions

Is AGV Products Corporation (1217) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 8.86 TWD versus a price of 9.83 TWD — about −10% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 1217?
Our 21-model fair value for AGV Products Corporation is 8.86 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 9.83 TWD.
What is the quality score of 1217?
AGV Products Corporation has a Quality Score of 88/100, 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.