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Acmepoint Energy Services Co (6692) Fair Value & Analysis

Technology · TW · Market cap 1.5B TWD

Price26.05 TWD
Fair Value6.47 TWD
Upside-75.2%
Quality95/100
Evidence: High Range 4.85 TWD – 8.09 TWD

Fair value as of: Jun 24, 2026

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Analysis

Acmepoint Energy Services Co (6692) currently trades at 26.05 TWD, while our model-based Fair Value estimate is 6.47 TWD — implying the stock looks roughly 75.2% 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

Acmepoint Energy Services Co.,LTD develops, sales, and installs solar power generation system in Taiwan. It offers rooftop, water surface, and ground mounted solar PV systems; and operation and maintenance services. The company was founded in 1994 and is headquartered in Taipei, Taiwan.

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Frequently asked questions

Is Acmepoint Energy Services Co (6692) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 6.47 TWD versus a price of 26.05 TWD — about −75% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 6692?
Our 21-model fair value for Acmepoint Energy Services Co is 6.47 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 26.05 TWD.
What is the quality score of 6692?
Acmepoint Energy Services 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.