Saurer Intelligent Technology Co (600545) Fair Value & Analysis
Industrials · CN · Market cap 10.7B CNY
Analysis
Saurer Intelligent Technology Co (600545) currently trades at ¥7.34, while our model-based Fair Value estimate is ¥7.01 — implying the stock looks roughly 4.5% overvalued today. We read business quality at 81/100 (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: low).
About the company
Saurer Intelligent Technology Co. Ltd, together with its subsidiaries, engages in the research and development, production, and sale of intelligent textile equipment and supporting core components for fiber and yarn processing in Europe, Africa, India, America, Turkey, China, rest of Asia, and internationally. It operates through the Spinning Division and Technology Division segments. The company offers blowroom and carding pre-spinning machines; roving, automation, ring, compact, rotor, and air spinning machines; and carpet yarn, glass filament yarn, industrial yarn, staple fibre yarn, and tire cord yard twisting and cabling machines. It also provides Senses data analyzing software that consists of various elements, such as Senses Maintenance, which digitalizes maintenance processes for machines; Senses Workforce that digitalizes personnel management; Senses Data Transfer, which allows usage of data for the daily optimization of business processes; Senses Shop Floor that optimizes …
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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.