Zoomlion Heavy Industry Science and Technology Co (ZLIOY) Fair Value & Analysis
Industrials · US · Market cap $12.5B
Analysis
Zoomlion Heavy Industry Science and Technology Co (ZLIOY) currently trades at $9.70, while our model-based Fair Value estimate is $9.48 — implying the stock looks roughly 2.3% overvalued today. We read business quality at 93/100 (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
Zoomlion Heavy Industry Science and Technology Co., Ltd. researches, develops, and manufactures machinery in China and internationally. The company offers mini, small, medium, large, and wheel excavators, as well as skid steer, crawler, wheel, and compact track loaders, and crawler bulldozers; spider, full-electric scissor, crawl scissor, rough terrain scissor, diesel and electric articulating boom, range-extended hybrid articulating and telescopic boom, diesel and electric telescopic boom, and vertical mast lifts, as well as telehandlers; and truck, loader, crawler, rough and all terrain, and telescopic crawler cranes. It also provides flat-top tower, luffing jib tower, and topless hydraulic luffing jib cranes, as well as construction hoist; truck mounted, trailer, and city pumps, as well as truck mixer, placing boom, and batching plant; tractor, baler, dryer, and combine and sugarcane harvesters; internal combustion and electric forklifts; and rotary and horizontal directional dri…
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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.