Shanghai Huace Navigation Technology Ltd (300627) Fair Value & Analysis
Technology · CN · Market cap 23.9B CNY
Analysis
Shanghai Huace Navigation Technology Ltd (300627) currently trades at ¥29.14, while our model-based Fair Value estimate is ¥15.53 — implying the stock looks roughly 46.7% overvalued today. We read business quality at 80/100 (high quality), in the Technology 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
Shanghai Huace Navigation Technology Ltd. provides navigation, positioning, and mapping technologies in China and internationally. It offers global navigation satellite system (GNSS) smart antennas and antennas, controllers and tablets, surveying and mapping software, GNSS sensors, total stations, and data links; handheld laser scanners, airborne LiDAR and mobile mapping systems, UAV platforms, software, and UAS cameras; USV platforms and hydrographic sensors; multi-point deformation monitoring system and data loggers; and GNSS corrections. The company also provides machine control systems for excavators, graders, and dozers; GNSS surveying systems; GNSS+INS and IMU Sensors; and auto steering, manual guidance, land leveling, and GNSS systems, as well as application control systems. It serves the geospatial, machine control, navigation, and agriculture industries. Shanghai Huace Navigation Technology Ltd. was founded in 2003 and is headquartered in Shanghai, China.
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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.