North Industries Group (000519) Fair Value & Analysis
Industrials · CN · Market cap 26.6B CNY
Fair value as of: Jun 25, 2026
Analysis
North Industries Group (000519) currently trades at ¥22.37, while our model-based Fair Value estimate is ¥4.65 — implying the stock looks roughly 79.2% overvalued today. We read business quality at 94/100 (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
North Industries Group Red Arrow Co., Ltd, together with its subsidiaries, engages in the research, development, manufacturing, and sale of special equipment, superhard materials, special-purpose vehicles, and automotive parts in China, Europe, the Americas, Southeast Asia, and internationally. It offers special equipment for armed forces and other military enterprises; and superhard materials, including lab-grown diamond finished products, lab-grown diamonds, industrial diamond, synthetic diamond, high-performance superhard material composite sheet, and cubic boron nitride. The company also provides special, medical waste transport, dangerous chemical transport, multi-functional dust suppression, explosives transport, and mushroom base fertilizer transport vehicles, as well as tanker, refrigerated, and insulated trucks; engine piston cylinder liners and box trailer parts; and phenolic resin series composite materials, epoxy phenolic resin high-strength glass fiber reinforced plasti…
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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.