Tianjin Ruixin Technology Co (300828) Fair Value & Analysis
Basic Materials · CN · Market cap 3.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Tianjin Ruixin Technology Co (300828) currently trades at ¥20.86, while our model-based Fair Value estimate is ¥3.33 — implying the stock looks roughly 84.0% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Tianjin Ruixin Technology Co.,Ltd engages in the research and development, production, and sales of industrial precision aluminum alloy parts and components in China and internationally. It offers systematic and personalized aluminum alloy products and services. The company's products include heat transfer parts, 5G base station, energy storage box, low voltage inverter, battery tray, motor casing, power and digital controller, and solar inverter; new energy vehicle parts; and clean energy components. It also provides transportation lightweighting system, such as automotive protective parts, structural components, and sunroof parts, as well as rail controls; and industrial automation system comprising industrial rail, electric, and structural parts, and medical device parts. In addition, the company offers CNC machine tools; extruders; friction stir welding machine; coordinate measuring center; deep machining automatic production line; wire cutting machine; automatic machine center;…
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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.