Yutong Heavy Industries Co (600817) Fair Value & Analysis
Industrials · CN · Market cap 5.2B CNY
Analysis
Yutong Heavy Industries Co (600817) currently trades at ¥9.11, while our model-based Fair Value estimate is ¥7.53 — implying the stock looks roughly 17.3% overvalued today. We read business quality at 91/100 (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
Yutong Heavy Industries Co.,Ltd. researches, develops, produces, and sells sanitation cleaning equipment, garbage collection, and transfer equipment in China. The company offers cleaning and maintenance vehicles and equipment, such as washing, sprinkling, sucking and sweeping of road pavement and facade facilities, including washing and sweeping vehicles, road sweepers, vacuum trucks, cleaning vehicles, sprinkler trucks, dust suppression vehicles, greening spraying vehicles, guardrail cleaning vehicles, road maintenance vehicles, road pollution removal vehicles, snow removal vehicles, etc. It also offers collection and transfer vehicles comprising garbage cleaning, collection and transfer vehicles and equipment, including compressed garbage trucks, food garbage trucks, self-loading and unloading garbage trucks, detachable garbage trucks, sealed barrel garbage trucks, box garbage trucks, and other products. In addition, the company engages in research and development, manufacturing, …
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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.