Beijing E-Techstar Co (300513) Fair Value & Analysis
Technology · CN · Market cap 2.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Beijing E-Techstar Co (300513) currently trades at ¥7.70, while our model-based Fair Value estimate is ¥3.85 — implying the stock looks roughly 50.0% overvalued today. We read business quality at 92/100 (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: medium).
About the company
Beijing E-Techstar Co.,Ltd. operates as digital energy, communications technology services, and Internet of Things solution provider in China. The company offers technical base products, such as H-iTMG Information Technology Center; IoT products, that includes H-Edge intelligent edge gateway, H-ARIoT visual real-time collection and monitoring platform, and H-VIC visual intelligent equipment control platform; big data products, such as H-DAMP Data Asset Management Platform; and visualization products, that includes H-VBI big data intelligent analysis platform. It also provides smart energy solutions, such as wind, solar and storage holographic dynamic monitoring and operation management platform, enterprise digital operation management platform, new generation of power supply service command platform based on middle platform architecture, micro-application mobile operating platform for line loss management in Taiwan district, energy mutual virtual power plant, collection and analysis…
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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.