Jiaze Renewables Corporation (601619) Fair Value & Analysis
Utilities · CN · Market cap 13.9B CNY
Analysis
Jiaze Renewables Corporation (601619) currently trades at ¥4.49, while our model-based Fair Value estimate is ¥4.41 — implying the stock looks roughly 1.8% overvalued today. We read business quality at 95/100 (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: high).
About the company
Jiaze Renewables Corporation Limited, together with its subsidiaries, engages in the development, construction, sale, operation, and maintenance of new energy power stations in China. The company operates through five segments: New Energy Power Station Development-Construction-Operation-Sale; New Energy Power Plant Operation and Maintenance Management Services; Rooftop Distributed Photovoltaic; New Energy Industry Funds; and Construction of New Energy Equipment Manufacturing Industrial Parks. The company is involved in wind power, centralized photovoltaic power generation, source-grid-load-storage, smart microgrid zero-carbon park, energy storage power station, and pumped storage. It offers after-market services of new energy power stations, including production and maintenance of power stations, power trading, electricity sales, green electricity trading, carbon asset trading, integrated energy management, and other operation and maintenance management services. In addition, it eng…
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.