Fairvalue-Calculator Fairvalue-Calculator

Sichuan Hebang Biotechnology Corporation (603077) Fair Value & Analysis

Basic Materials · CN · Market cap 21.5B CNY

Price¥2.50
Fair Value¥0.4100
Upside-83.6%
Quality95/100
Evidence: Medium Range ¥0.3600 – ¥0.6900

Analysis

Sichuan Hebang Biotechnology Corporation (603077) currently trades at ¥2.50, while our model-based Fair Value estimate is ¥0.4100 — implying the stock looks roughly 83.6% 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

Sichuan Hebang Biotechnology Corporation Limited provides agricultural, chemical, and new material products. It offers biological pesticides, biological veterinary drugs, and methionine products; and sodium carbonate, ammonium chloride, soda ash, diglyphosate, glyphosate, and brine. The company provides original glass and smart glass, special glass, low-e coated glass, and photovoltaic packaging materials and products, as well as photovoltaic glass and module products. In addition, it engages in the supply of oil and gas. The company was formerly known as SichuanHebang Biotechnology Co.,Ltd. and changed its name to Sichuan Hebang Biotechnology Corporation Limited in April 2021. The company was founded in 2002 and is based in Leshan, China.

Open the full interactive analysis →

Similar stocks

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.