Tianjin Saixiang Technology Co (002337) Fair Value & Analysis
Industrials · CN · Market cap 2.9B CNY
Fair value as of: Jun 25, 2026
Analysis
Tianjin Saixiang Technology Co (002337) currently trades at ¥4.81, while our model-based Fair Value estimate is ¥2.02 — implying the stock looks roughly 58.0% overvalued today. We read business quality at 90/100 (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
Tianjin Saixiang Technology Co.,Ltd, together with its subsidiaries, engages in the research, development, manufacture, sale, and service of intelligent equipment for radial tires in the People's Republic of China and internationally. The company offers passenger/light truck radial tire one-step forming machines, all"steel load-bearing radial tire one-step forming machines, two-drum/four-drum all-steel engineering radial tire one-step forming machines, agricultural radial tire two-step forming machines, engineering/giant engineering radial tire two-step forming machines, 90-degree steel cord cutting machines, small-angle steel cord cutting machines, radial tire wire ring extrusion and winding production lines, tire tread composite extrusion production lines, engineering tire tread winding production lines, Saixiang cloud industrial internet platform, aircraft large parts transportation fixtures and series of tooling, AGV mobile robots and their system integration, AGV control and sc…
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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.