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RiTdisplay Corporation (8104) Fair Value & Analysis

Technology · TW · Market cap 4.0B TWD

Price40.10 TWD
Fair Value11.12 TWD
Upside-72.3%
Quality90/100
Evidence: Medium Range 2.22 TWD – 20.72 TWD

Fair value as of: Jun 25, 2026

Analysis

RiTdisplay Corporation (8104) currently trades at 40.10 TWD, while our model-based Fair Value estimate is 11.12 TWD — implying the stock looks roughly 72.3% overvalued today. We read business quality at 90/100 (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: medium).

About the company

RiTdisplay Corporation, together with its subsidiaries, engages in the sales of electroluminescent display panels, battery modules and energy storage system and internationally. It also offers display, ozone, and high and low power batteries. The company was founded in 2000 and is based in Hsinchu City, Taiwan.

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Frequently asked questions

Is RiTdisplay Corporation (8104) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 11.12 TWD versus a price of 40.10 TWD — about −72% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 8104?
Our 21-model fair value for RiTdisplay Corporation is 11.12 TWD (as of Jun 25, 2026), built from audited fundamentals. The current price is 40.10 TWD.
What is the quality score of 8104?
RiTdisplay Corporation has a Quality Score of 90/100, 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.