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Oriental System Technology Inc (6819) Fair Value & Analysis

Technology · TW · Market cap 1.2B TWD

Price36.95 TWD
Fair Value22.41 TWD
Upside-39.4%
Quality95/100
Evidence: High Range 17.54 TWD – 28.53 TWD

Fair value as of: Jun 24, 2026

Analysis

Oriental System Technology Inc (6819) currently trades at 36.95 TWD, while our model-based Fair Value estimate is 22.41 TWD — implying the stock looks roughly 39.4% 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: high).

About the company

Oriental System Technology Inc. engages in the production and sale of infrared sensors and optoelectronic components in Taiwan. It offers thermopile array modules, thermopile sensors, and NDIR gas sensors. The company was founded in 1979 and is based in Hsinchu City, Taiwan.

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Frequently asked questions

Is Oriental System Technology Inc (6819) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 22.41 TWD versus a price of 36.95 TWD — about −39% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 6819?
Our 21-model fair value for Oriental System Technology Inc is 22.41 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 36.95 TWD.
What is the quality score of 6819?
Oriental System Technology Inc 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.