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Ningbo Runhe High-Tech Materials Co (300727) Fair Value & Analysis

Basic Materials · CN · Market cap 6.1B CNY

Price¥35.45
Fair Value¥11.34
Upside-68.0%
Quality95/100
Evidence: Medium Range ¥8.25 – ¥14.15

Analysis

Ningbo Runhe High-Tech Materials Co (300727) currently trades at ¥35.45, while our model-based Fair Value estimate is ¥11.34 — implying the stock looks roughly 68.0% overvalued today. We read business quality at 95/100 (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

Ningbo Runhe High-Tech Materials Co., Ltd. engages in the research, production, and application of silicon new materials and textile chemicals in China and internationally. Its products include silicone oil for personal care products, defoamer, silicone leveling agent, agricultural spray adjuvant, agricultural silicone spreading and penetrating agent, single end and dual end hydrogen silicone oil, methyl terminated hydrogen branched silicone oil, and vinyl silicone oil; and liquid silicon rubber for screen printing, scutcheon, textile belt, and socks, as well as insulator liquid silicone rubber. The company also offers multicomponent copolymerization epoxy silicone oil; dyeing and finishing agent; and raw materials, including hexamethyldisiloxane and methyl hydrogen silicon oil. Ningbo Runhe High-Tech Materials Co., Ltd. was founded in 2000 and is based in Ningbo, 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.