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SBB Tech Co (389500) Fair Value & Analysis

Technology · KR · Market cap 389B KRW

Price43,900 KRW
Fair Value9,193 KRW
Upside-79.1%
Quality95/100
Evidence: Low Range 6,895 KRW – 11,491 KRW

Fair value as of: Jun 24, 2026

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Analysis

SBB Tech Co (389500) currently trades at 43,900 KRW, while our model-based Fair Value estimate is 9,193 KRW — implying the stock looks roughly 79.1% 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

SBB Tech Co., Ltd. provides ultra-precision power transmission products in South Korea. The company offers ROBO drive for harmonic and RV type, double enveloping worm reducer; semiconductor, peek, hybrid, and ceramic breaking; CMP; and gear, peek bolt, peek and ceramic ETC, ball caster, Teflon heater, and balls, as well as other robot products. SBB Tech Co., Ltd. was founded in 1993 and is headquartered in Gimpo-si, South Korea.

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Frequently asked questions

Is SBB Tech Co (389500) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 9,193 KRW versus a price of 43,900 KRW — about −79% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 389500?
Our 21-model fair value for SBB Tech Co is 9,193 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 43,900 KRW.
What is the quality score of 389500?
SBB Tech 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.