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Fidelix Co (032580) Fair Value & Analysis

Technology · KR · Market cap 186B KRW

Price5,670 KRW
Fair Value5,647 KRW
Upside-0.4%
Quality95/100
Evidence: Low Range 4,235 KRW – 7,058 KRW

Fair value as of: Jun 24, 2026

Analysis

Fidelix Co (032580) currently trades at 5,670 KRW, while our model-based Fair Value estimate is 5,647 KRW — implying the stock looks roughly 0.4% 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

Fidelix Co., Ltd. focuses on developing memories for wireless devices. It provides low power SDRAM, low power DDR SDRAM, low power DDR2 SDRAM, DDR3 SDRAM, and Pseudo SRAM products; NAND FLASH, SPI NAND FLASH, and SPI NOR FLASH series products; and NAND based and NOR based MCP products. Fidelix Co., Ltd. was incorporated in 1990 and is headquartered in Seongnam-si, South Korea.

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Frequently asked questions

Is Fidelix Co (032580) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 5,647 KRW versus a price of 5,670 KRW — about −0% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 032580?
Our 21-model fair value for Fidelix Co is 5,647 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 5,670 KRW.
What is the quality score of 032580?
Fidelix 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.