Fairvalue-Calculator Fairvalue-Calculator

Zhejiang Haikong Nanke Huatie Digital Intelligence and Technology Co (603300) Fair Value & Analysis

Industrials · CN · Market cap 10.2B CNY

Price¥5.00
Fair Value¥5.55
Upside+11.0%
Quality94/100
Evidence: High Range ¥4.16 – ¥6.94

Analysis

Zhejiang Haikong Nanke Huatie Digital Intelligence and Technology Co (603300) currently trades at ¥5.00, while our model-based Fair Value estimate is ¥5.55 — implying the stock looks roughly 11.0% undervalued today. We read business quality at 94/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Zhejiang Haikong Nanke Huatie Digital Intelligence and Technology Co., Ltd. in the equipment leasing business in China. The company leases building support equipment, such as steel support, baileys, steel bridges, plate buckles, prestressed steel supports, aluminum alloy templates, attached lifting work safety protection platforms, and servo axial force control systems. It also provides aerial work platforms, forklifts, load-carrying drones, wall-building machines, air coolers, steel supports, aluminum alloy formworks, and integrated lifting operation platforms. It also offers scissor lift, off-road scissor lift, Straight boom truck, and articulated boom truck. Zhejiang Haikong Nanke Huatie Digital Intelligence and Technology Co., Ltd. was formerly known as Zhejiang Huatie Emergency Equipment Science & Technology Co.,Ltd. and changed its name to Zhejiang Haikong Nanke Huatie Digital Intelligence and Technology Co., Ltd. in November 2024. The company was founded in 2008 and is headqu…

Open the full interactive analysis →

Similar stocks

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.