Zhejiang Dafeng Industry Co (603081) Fair Value & Analysis
Industrials · CN · Market cap 4.1B CNY
Analysis
Zhejiang Dafeng Industry Co (603081) currently trades at ¥9.28, while our model-based Fair Value estimate is ¥5.07 — implying the stock looks roughly 45.4% overvalued today. We read business quality at 94/100 (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: high).
About the company
Zhejiang Dafeng Industry Co., Ltd operates in the smart stage, lighting, sound, decoration, seating, and construction fields in China and internationally. The company offers cultural, sports and tourism technology equipment, digital art technology, rail transportation equipment, and cultural, sports and tourism operation services. The company also provides stage machinery, lighting, audio and video, electrical intelligence, seat stands, decorative curtain walls, smart skylights, art performances, TV variety shows, and art rehearsals, as well as for performances of operas and concerts; video systems; and safety control systems for various theaters, shows, studios, and stage machinery for a special performance. In addition, the company offers acoustic decoration services for cultural centers, theaters, concert halls, radio and television centers, recording studios, gymnasiums, multipurpose halls, and other places; architectural decoration services; and activity stands and public seats…
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.