Beijing YJK Building Software Co (300935) Fair Value & Analysis
Technology · CN · Market cap 2.6B CNY
Fair value as of: Jun 24, 2026
Analysis
Beijing YJK Building Software Co (300935) currently trades at ¥31.80, while our model-based Fair Value estimate is ¥28.71 — implying the stock looks roughly 9.7% 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: low).
About the company
Beijing YJK Building Software Co.,Ltd. engages in the development, sale, and technical services of software products in China and internationally. The company offers structure and green building software products; and construction software, including YST steel structure detailing design software, foundation pit support software, Yingjianke BIM construction safety calculation toolbox, YJK-MJJS BIM scaffolding finite element analysis calculation software, YJK-MJ BIM formwork and scaffolding design software, YJK-LMB aluminum formwork design software, YJK-SGCB BIM construction site layout software, and Yingjianke bridge construction temporary structure BIM design software.It also provides ArchiCAD, a 3D architectural design software; and BIM series software products, such as BIMFire General Digital, Yingjianke BIM Structural Design, Yingjianke Water Supply and Drainage BIM Design, Yingjianke BIM Digital Collaborative Design, Yingjianke Substation 3D Digital Design, Yingjianke Architectu…
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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.