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MayAir Technology (China) Co (688376) Fair Value & Analysis

Industrials · CN · Market cap 9.7B CNY

Price¥78.88
Fair Value¥18.80
Upside-76.2%
Quality90/100
Evidence: Medium Range ¥13.49 – ¥23.50

Analysis

MayAir Technology (China) Co (688376) currently trades at ¥78.88, while our model-based Fair Value estimate is ¥18.80 — implying the stock looks roughly 76.2% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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

MayAir Technology (China) Co., Ltd. engages in the research and development, production, and sale of medical air purification equipment and atmospheric environment treatment products in China. The company's products include fan filter units; media, chemical, functional, electrostatic, and cartridge filters; and bio-safety sterile purification equipment, home and commercial air purifiers, medical disinfection machines, purification equipment, dust and oil mist removal equipment, kitchen oil fume equipment, and kitchen exhaust systems. Its products are used in semiconductors, public health care, biopharmaceutical, and food industries, as well as medical institutions, large commercial buildings, public places, home environments, industrial dust removal, VOCs treatment, etc. MayAir Technology (China) Co., Ltd. was founded in 2001 and is based in Nanjing, China.

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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.