Zhejiang RIFA Precision Machinery Co (002520) Fair Value & Analysis
Industrials · CN · Market cap 5.1B CNY
Fair value as of: Jun 25, 2026
Analysis
Zhejiang RIFA Precision Machinery Co (002520) currently trades at ¥6.74, while our model-based Fair Value estimate is ¥1.59 — implying the stock looks roughly 76.4% overvalued today. We read business quality at 95/100 (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
Zhejiang RIFA Precision Machinery Co., Ltd., together with its subsidiaries, manufactures and sells CNC machine tools in China and internationally. The company offers general tool machinery, including vertical and horizontal CNC lathes, vertical and horizontal machining centers, longmen machining centers, CNC horizontal boring machines, and automated production lines; and CNC grinders, such as bearing grinding and super automatic lines, bearing assembly automatic lines, roller grinding super automatic lines, single-machine CNC grinders, and CNC general grinding machines. It also provides aviation equipment comprising software control systems, digital assembly systems, intelligent processing systems, and logistics storage systems; and aviation parts, which include composite material processing, engine casing processing, and aerospace structural parts processing products. In addition, the company is involved in the software development and general aviation businesses. The company was …
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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.