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Tellhow Sci-Tech Co (600590) Fair Value & Analysis

Technology · CN · Market cap 10.1B CNY

Price¥11.70
Fair Value¥1.65
Upside-85.9%
Quality81/100
Evidence: Medium Range ¥1.12 – ¥2.96

Analysis

Tellhow Sci-Tech Co (600590) currently trades at ¥11.70, while our model-based Fair Value estimate is ¥1.65 — implying the stock looks roughly 85.9% overvalued today. We read business quality at 81/100 (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

Tellhow Sci-Tech Co., Ltd. provides military equipment and intelligent power in China and internationally. The company offers communication command system integration and information vehicles; satellite navigation and vehicle electronic information system products; photoelectric imaging and precision tracking and measuring products; combat command support systems; military power station and mechatronics products; military air conditioner products; ammunition and weapon systems; fuses; and rocket/missile engine charges. It also provides energy interconnection solutions; power grid products; intelligent emergency power products; and power distribution products. In addition, it engages in consulting, design, financing, construction, operation, and maintenance of projects, including hydropower, photovoltaic and other distributed energy power stations, and power distribution systems. The company was founded in 1996 and is headquartered in Nanchang, 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.