Yimikang Tech.Group Co (300249) Fair Value & Analysis
Technology · CN · Market cap 7.8B CNY
Analysis
Yimikang Tech.Group Co (300249) currently trades at ¥17.17, while our model-based Fair Value estimate is ¥1.85 — implying the stock looks roughly 89.2% 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: high).
About the company
Yimikang Tech.Group Co., Ltd. manufactures and sells precision air conditioning solutions in China. It provides precision air conditioners equipment, precision computer room air-conditioning, precision clean air-conditioning, precision chillers, precision closed environmental engineering, environmental protection equipment, computer system integration, engineering general contracting business, etc. The company also offers refrigeration equipment, air conditioners, uninterruptible power supplies, batteries and related products, air purifiers, electronic products; provides environmental engineering technology consulting and related engineering services; research and develops, applies and promotes energy-saving technologies; energy-saving engineering design, engineering construction, technical consulting and technical services; contract energy management; house leasing; property management services; and import and export of goods and technologies. The company was formerly known as Sich…
Open the full interactive analysis →
Similar stocks
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.