Smartgiant Technology Co (688115) Fair Value & Analysis
Technology · CN · Market cap 3.5B CNY
Analysis
Smartgiant Technology Co (688115) currently trades at ¥52.00, while our model-based Fair Value estimate is ¥85.51 — implying the stock looks roughly 64.4% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: low) — always confirm before acting.
About the company
Smartgiant Technology Co., Ltd. engages in the research, design, development, production, and sale of industrial automation testing products in China and internationally. The company offers Nysa modular instruments, including FPGA control modules, embedded and plug-in instrument modules, and testing software tools; test and measurement instruments, such as data acquisition, high precision and speed signals, RF signal, and comprehensive testing; AI visual products comprising Horus AI camera, industrial barcode scanner, and AI visual devices; and industrial products, which include controllers and I/O modules, industrial communication devices, and human-machine interface. It also provides various solutions, such as verification, prototyping, and mass production, as well as test and measurement, AI vision systems, biopharmaceutical, and customization use cases; and design, solution, and production services. The company was incorporated in 2005 and is headquartered in Guangzhou, 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.