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Pantum Technology Co (002180) Fair Value & Analysis

Technology · CN · Market cap 20.0B CNY

Price¥14.50
Fair Value¥7.90
Upside-45.5%
Quality93/100
Evidence: High Range ¥4.76 – ¥11.04

Analysis

Pantum Technology Co (002180) currently trades at ¥14.50, while our model-based Fair Value estimate is ¥7.90 — implying the stock looks roughly 45.5% overvalued today. We read business quality at 93/100 (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

Pantum Technology Co., Ltd., together with its subsidiaries, engages in the research, development, production, processing, and sale of self-produced printers and printer consumables and accessories in China and internationally. The company offers laser printers; integrated circuit chips; and compatible consumables and core components, including laser cartridges, inkjet cartridges, ribbon cartridges, and ink, as well as consumable integrated circuit chips, rollers, and other core consumable parts. It is also involved in investment consulting and management services; operation of printing industrial park; sale of office equipment and consumables; treasury center; and e-commerce platform. The company sells its products under the PANTUM, APEXMIC, G&G, and Static Control brand names. It exports its products. Pantum Technology Co., Ltd. was formerly known as Ninestar Corporation and changed its name to Pantum Technology Co., Ltd. in April 2026. The company was founded in 2000 and is based…

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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.