Guangdong Sanhe Pile Co (003037) Fair Value & Analysis
Basic Materials · CN · Market cap 3.7B CNY
Analysis
Guangdong Sanhe Pile Co (003037) currently trades at ¥5.88, while our model-based Fair Value estimate is ¥1.95 — implying the stock looks roughly 66.8% 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
Guangdong Sanhe Pile Co., Ltd. engages in the research and development, production, and sale of prestressed concrete pipe pile products in China. The company offers pile products, including precast high strength concrete thin-walled steel pipe pile; expanding piles; pre-tensioned prestressed high-strength concrete pipes, high strength concrete corrosion-resistant pipe piles, diamond piles, and high strength concrete pipe piles; prestressed high strength concrete uplift piles, concrete tubular body for foundation treatment, square piles, and concrete hollow supporting piles; and centrifugal prestressed concrete precast enclosures. It also provides prefabricated products, such as prefabricated architecture, water conservancy municipal administration, and rail transit products, as well as electric power engineering. Its products are used in various infrastructure projects comprising industrial projects, civil architecture, municipal engineering, transportation, large equipment foundati…
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.