Fairvalue-Calculator Fairvalue-Calculator
EN DE

Team Group (4967) Fair Value & Analysis

Technology · TW · Market cap 23.1B TWD

Price278.00 TWD
Fair Value164.85 TWD
Upside-40.7%
Quality95/100
Evidence: High Range 115.40 TWD – 277.59 TWD

Analysis

Team Group (4967) currently trades at 278.00 TWD, while our model-based Fair Value estimate is 164.85 TWD — implying the stock looks roughly 40.7% 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

Team Group Inc. manufactures and trades integrated circuit chips, memory, and computer peripheral equipment in Taiwan, Asia, America, Europe, and internationally. The company offers desktop, laptop, and workstation memory; 2.5 inches, external/portable, and M.2 SSD cards, as well as enclosure kit; SD, MicroSD, CFexpress memory cards, and memory card readers; USB drives; and peripherals, such as case, fan, CPU cooler, SSD cooler, and accessories. It also sells electronic products and components. Team Group Inc. was founded in 1997 and is headquartered in New Taipei City, Taiwan.

Open the full interactive analysis →

Similar stocks

Compal Electronics, Inc (CEIR) +105% Dell Technologies Inc (DELL) -15% Arista Networks, Inc (ANET) -55% Western Digital Corporation (WDC) -90% Quanta Computer Inc (2382) -31% Hangzhou Hikvision Digital Technology Co (002415) -8%

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.