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上半年亏了29亿元,天合光能咋突围?山东成转型“试验场”!
Da Zhong Ri Bao· 2025-09-05 03:13
Core Viewpoint - The solar industry is undergoing a transformation, with Trina Solar facing significant challenges reflected in its recent financial performance, while simultaneously exploring new growth opportunities in the energy storage sector and leveraging AI technology for smart energy solutions [2][5]. Group 1: Financial Performance - Trina Solar reported its worst half-year results since going public, with revenue of 31.056 billion yuan, a year-on-year decline of 27.72%, and a net loss of 2.918 billion yuan, a staggering drop of 654.47% [2]. - The company's basic earnings per share, excluding non-recurring gains and losses, fell by 855.56% year-on-year [2]. - Despite maintaining its competitive edge in the photovoltaic module business, the company faced a decline in profitability due to an imbalance in the supply and demand chain and persistently low market prices for solar products [3][4]. Group 2: Market Dynamics and Strategic Initiatives - Shandong province is a key market for Trina Solar, where the company has initiated a 3.96 MW distributed photovoltaic project in collaboration with a local agricultural cooperative, generating an average annual output of 5.7 million kWh [3]. - The province has transitioned from a policy-driven to a market-driven approach in the solar and energy storage sectors, with new pricing mechanisms set to challenge traditional subsidy-dependent revenue models [5]. - Trina Solar's energy storage segment is viewed positively in terms of profitability, as the company accelerates its comprehensive solution strategy, establishing a full-chain collaborative capability in Shandong [5]. Group 3: Project Developments - Trina Solar has launched an integrated agricultural and fishery energy storage project in Feicheng, utilizing previously unusable land, and is collaborating on a virtual power plant project in Linyi [8]. - These projects are part of the company's exploration of new models in the renewable energy market, aiming to maximize the value of electricity generated for owners [8].