Heilongjiang Interchina Water Treatment Co (600187) Fair Value & Analysis
Utilities · CN · Market cap 2.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Heilongjiang Interchina Water Treatment Co (600187) currently trades at ¥1.35, while our model-based Fair Value estimate is ¥0.5600 — implying the stock looks roughly 58.5% overvalued today. We read business quality at 94/100 (high quality), in the Utilities 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
Heilongjiang Interchina Water Treatment Co.,Ltd, together with its subsidiaries, engages in the water supply, drainage, and sewage treatment businesses in China. It operates through Sewage Treatment, Heating, and Others segments. The company engages in sewage and water treatment; clean energy heating; and environmental protection engineering EPC activities. It is also involved in environmental engineering design; environmental pollution control management facilities operation; import and export of goods and technology; engineering consulting; construction project management and investment; new energy; sale of chemical products and environmental protection equipment; environmental and field technology development; consulting inquiry; technology transfer and technical consulting; business; investment management; environmental protection project investment; management; water supply and drainage projects and works; agricultural technology; purchase and sale of agriculture and aquatic pr…
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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.