Hanjia Digital Intelligence Science and Technology Group (300746) Fair Value & Analysis
Industrials · CN · Market cap 2.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Hanjia Digital Intelligence Science and Technology Group (300746) currently trades at ¥11.00, while our model-based Fair Value estimate is ¥5.98 — implying the stock looks roughly 45.6% overvalued today. We read business quality at 82/100 (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
Hanjia Digital Intelligence Science and Technology Group Co., Ltd., together with its subsidiaries, provides design services in China. The company offers architectural, interior and exterior decoration, and garden engineering design, as well as EPC engineering general contracting, technical research and services for construction engineering, and economic and technical consulting services. It serves high-rise, medical, hotel, transportation, and residential buildings, as well as urban complex, culture and sports, office and industry, educational research, renovation and upgrade, urban and rural planning, floodlighting, and other industries. Hanjia Digital Intelligence Science and Technology Group Co., Ltd. was formerly known as Hanjia Design Group Co., Ltd. and changed its name to Hanjia Digital Intelligence Science and Technology Group Co., Ltd. in January 2026. The company was founded in 1993 and is based in Hangzhou, China. Hanjia Digital Intelligence Science and Technology Group …
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Frequently asked questions
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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.