Shandong Shengli Co (000407) Fair Value & Analysis
Energy · CN · Market cap 3.6B CNY
Analysis
Shandong Shengli Co (000407) currently trades at ¥3.94, while our model-based Fair Value estimate is ¥3.72 — implying the stock looks roughly 5.6% overvalued today. We read business quality at 87/100 (high quality), in the Energy 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
Shandong Shengli Co., Ltd. engages in the natural gas, plastic pipes, and other industrial businesses in China. The company invests in, constructs, and operates gas transmission and distribution pipelines, urban natural gas networks, liquefied natural gas (LNG), compressed natural gas (CNG), and natural gas distributed energy. It also provides natural gas application services for industry, commerce, residents, and other fields; natural gas supply for vehicles using natural gas in the fields of transportation; and urban transportation services, as well as solutions in the field of natural gas and value-added services. In addition, the company is involved in natural gas midstream and upstream business; natural gas distribution and transportation business; and natural gas energy distribution and smart gas systems business. Further, it produces polyethylene pipes, which are used in water supply and drainage, gas, industrial pipe networks, fire protection, marine equipment, dredging, lin…
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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.