Xi'an NovaStar Tech Co (301589) Fair Value & Analysis
Technology · CN · Market cap 13.8B CNY
Analysis
Xi'an NovaStar Tech Co (301589) currently trades at ¥152.87, while our model-based Fair Value estimate is ¥178.04 — implying the stock looks roughly 16.5% 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: high) — always confirm before acting.
About the company
Xi'an NovaStar Tech Co., Ltd., together with its subsidiaries, designs and develops LED display control solutions in China and internationally. The company offers light-emitting diode (LED) control systems; video controllers, AV over IP systems, media servers, video splicing processors, control and video processors, V-Can software, and visual intelligent control platform; and nova cloud products, such as LED playback control processors, mini LED control PC, multi media player, and LCD controller, as well as Nova cloud services. It also provides infinity solution, xR solution, calibrations, rental stage solution, HDR solution, and irregular display solutions; and accessories comprising fiber converter CVT10 pro, fiber converter CVT10, multifunction card MFN300/MFN 300-B, monitoring card MON300, ambient brightness sensor NS060, fiber converter CVT310/CVT320, ambient temperature sensor MTH310, splitter DIS-300, and fiber converter CVT4K-S. The company's products are used for entertainm…
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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.