Fairvalue-Calculator Fairvalue-Calculator

CGN Power Co (CGNWF) Fair Value & Analysis

Utilities · US · Market cap $17.9B

Price$0.3550
Fair Value$0.4300
Upside+21.1%
Quality80/100
Evidence: Medium Range $0.3100 – $0.5500

Analysis

CGN Power Co (CGNWF) currently trades at $0.3550, while our model-based Fair Value estimate is $0.4300 — implying the stock looks roughly 21.1% undervalued today. We read business quality at 80/100 (high quality), in the Utilities sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

CGN Power Co., Ltd. operates and manages nuclear power stations and sells the electricity generated by these stations in the People's Republic of China. It also provides construction, installation, design, and related technical services, as well as labor services. As of December 31, 2025, the company manages 28 nuclear power units with a total installed capacity of 31.838 GW. The company was incorporated in 2014 and is headquartered in Shenzhen, People's Republic of China. CGN Power Co., Ltd. operates as a subsidiary of China General Nuclear Power Corporation.

Open the full interactive analysis →

Similar stocks

Constellation Energy Corporation (CEG) -68% Vistra Corp (VST) -71% Adani Power Limited (ADANIPOWER) -78% Gulf Development Public Company (GULF) -22% NRG Energy, Inc (NRG) -62% Datang International Power Generation Co (601991) -23%

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.