Fairvalue-Calculator Fairvalue-Calculator
EN DE

Global View Co (3040) Fair Value & Analysis

Technology · TW · Market cap 2.4B TWD

Price37.75 TWD
Fair Value10.86 TWD
Upside-71.2%
Quality95/100
Evidence: Medium Range 10.58 TWD – 11.14 TWD

Fair value as of: Jun 24, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

Global View Co (3040) currently trades at 37.75 TWD, while our model-based Fair Value estimate is 10.86 TWD — implying the stock looks roughly 71.2% 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: medium).

About the company

Global View Co., Ltd. manufactures and sells electronic dictionaries in Taiwan and Mainland China. It also engages in the house rental business. The company was founded in 1975 and is based in New Taipei City, Taiwan.

Open the full interactive analysis →

Similar stocks

Apple Inc (AAPL) -58% Samsung Electronics Co (005930) -54% Sony Group (SONY) -15% Xiaomi Corporation (1810N) -42% Panasonic Holdings (PCRHY) -69% LG Electronics Inc (066570) -50%

Frequently asked questions

Is Global View Co (3040) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 10.86 TWD versus a price of 37.75 TWD — about −71% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 3040?
Our 21-model fair value for Global View Co is 10.86 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 37.75 TWD.
What is the quality score of 3040?
Global View 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.