Fairvalue-Calculator Fairvalue-Calculator

GCL Energy Technology Co (002015) Fair Value & Analysis

Utilities · CN · Market cap 27.8B CNY

Price¥18.12
Fair Value¥5.48
Upside-69.8%
Quality88/100
Evidence: Medium Range ¥5.43 – ¥6.85

Analysis

GCL Energy Technology Co (002015) currently trades at ¥18.12, while our model-based Fair Value estimate is ¥5.48 — implying the stock looks roughly 69.8% overvalued today. We read business quality at 88/100 (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

GCL Energy Technology Co.,Ltd. engages in clean energy asset operation and integrated energy business in China. It is involved in cogeneration, wind, solar PV, and waste-to-energy power generation, as well as power sales and microgrids to digital energy management and carbon services. The company also engages in energy storage; operation of a virtual powerplant platform; zero-carbon park energy and carbon management platform; and energy trading activities. In addition, it provides residential solar solutions, including product development, marketing, engineering, quality control, after-sales, intelligent O&M, and brand operations. The company was founded in 1992 and is headquartered in Suzhou, China. GCL Energy Technology Co.,Ltd. operates as a subsidiary of Gcl Group Holdings Limited.

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.