Beijing United Information Technology Co (603613) Fair Value & Analysis
Technology · CN · Market cap 14.4B CNY
Analysis
Beijing United Information Technology Co (603613) currently trades at ¥19.93, while our model-based Fair Value estimate is ¥36.70 — implying the stock looks roughly 84.1% undervalued today. We read business quality at 86/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Beijing United Information Technology Co.,Ltd., together with its subsidiaries, engages in the online commodity trading business in China. It operates through Coating Chemical Industry, Hygiene Products Industry, Glass Industry, Paper Industry, Fertilizer Industry, Grain and Oil Industry, and Others segments. The company operates Guolian Resources Network, an industrial information service platform that provides business information services to enterprises in various industries; Toodudu, Wdoodoo, Boododo, Zdoodoo, Feidoodoo, Lydodo, Xdoodoo, Yidoodoo, Lenglian, and Nedoodoo industrial e-commerce platforms, which provides online commodity trading services for upstream and downstream industries, such as coatings and chemicals, hygiene products, glass, papermaking, fertilizers, grains and oils, chips, medical devices, cold chain, and new energy; and Guolian Cloud, a digital technology service platform for industries and enterprises. It also engages in information technology services; i…
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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.