TPV Technology Co (000727) Fair Value & Analysis
Technology · CN · Market cap 12.2B CNY
Analysis
TPV Technology Co (000727) currently trades at ¥2.77, while our model-based Fair Value estimate is ¥1.34 — implying the stock looks roughly 51.6% 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: low).
About the company
TPV Technology Co., Ltd. engages in the research, development, manufacture, sale, and service of smart display terminal products in China and internationally. It operates through Displays, Televisions, and Others segments. The company offers monitors comprising traditional computer monitors, gaming monitors, and large-screen commercial monitors; professional TVs, digital signages, videowalls, and LED displays; audio and visual products, such as headphones, speakers, soundbars, and other consumer products; and spare parts, phones, tablets and all-in-one computers. It also engages in human resource and property management activities. The company sells its products under the AOC, AGON, Envision, and Philips brands. It serves the corporate, hospitality, education, transportation, retail, healthcare, public venues, and other industries. The company was formerly known as Nanjing Huadong Electronics Information & Technology Co., Ltd. and changed its name to TPV Technology Co., Ltd. in May …
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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.