HuiZhou Intelligence Technology Group (002122) Fair Value & Analysis
Industrials · CN · Market cap 5.4B CNY
Analysis
HuiZhou Intelligence Technology Group (002122) currently trades at ¥2.46, while our model-based Fair Value estimate is ¥0.4800 — implying the stock looks roughly 80.5% overvalued today. We read business quality at 88/100 (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: medium).
About the company
HuiZhou Intelligence Technology Group Co., Ltd engages in the high-end equipment manufacturing business in China and internationally. It operates through High-End Equipment Manufacturing Business, Venture Capital Services and Asset Management, Big Model Data Service Business, and Media Business segments. The company offers CNC vertical and horizontal lathes, high-precision CNC double-column fixed beam vertical lathes, deep hole boring machines, CNC gear hobbing machines, and CNC double column vertical drilling machines; double column vertical turning machining centers, CNC double column vertical turning and milling machines, double-column fixed beam vertical turning machining centers, CNC horizontal turning and milling machine tools, and milling and turning complex machining centers; and broach and milling spindles, tool magazines, multi-point oil separators, right angle and wing milling heads, knife tables, and high speed turntables. It also provides data labeling and collection; I…
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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.