Innuovo Technology Co (000795) Fair Value & Analysis
Basic Materials · CN · Market cap 10.4B CNY
Analysis
Innuovo Technology Co (000795) currently trades at ¥10.18, while our model-based Fair Value estimate is ¥3.81 — implying the stock looks roughly 62.6% overvalued today. We read business quality at 90/100 (high quality), in the Basic Materials 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
Innuovo Technology Co., Ltd., together with its subsidiaries, engages in the research and development, production, sale, import, and export of rare earth permanent magnet materials in China and internationally. The company also engages in motor manufacturing, such as alternating current motors, permanent magnet, DC motors, brushless, steppers, servo motors, electric push rod actuators, parallel shafts, worm gears, and planetary gear reducers, as well as motor drives and mobility scooters. In addition, it offers gearboxes, electrical machinery equipment, general and special equipment, communication equipment, computers, and other electronic equipment; and electric wheelchairs. Further, the company is involved in clean energy generation, as well as the production and sales of solar and wind generation devices, complete sets devices. Additionally, it offers sales of power-assisted bicycles, scooters, and spare parts; engages in private equity investment, investment management, and inve…
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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.