Fairvalue-Calculator Fairvalue-Calculator
EN DE

Papago Inc (3632) Fair Value & Analysis

Technology · TW · Market cap 339M TWD

Price8.12 TWD
Fair Value2.07 TWD
Upside-74.5%
Quality89/100
Evidence: Medium Range 1.05 TWD – 3.09 TWD

Fair value as of: Jun 24, 2026

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

Analysis

Papago Inc (3632) currently trades at 8.12 TWD, while our model-based Fair Value estimate is 2.07 TWD — implying the stock looks roughly 74.5% overvalued today. We read business quality at 89/100 (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

Papago Inc. develops and sells software and hardware for satellite navigation systems in Taiwan and internationally. The company offers face recognition solutions; electronic signage products; satellite navigation products, such as handheld navigation and car navigation; car-mounted android phone products; smart life products; and driving recorders. It offers its products online, as well as through retail stores. Papago Inc. was founded in 1990 and is based in Taipei, Taiwan.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is Papago Inc (3632) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 2.07 TWD versus a price of 8.12 TWD — about −75% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 3632?
Our 21-model fair value for Papago Inc is 2.07 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 8.12 TWD.
What is the quality score of 3632?
Papago Inc has a Quality Score of 89/100, 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.