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ASBIS Enterprises Plc Reports Record $75.3 Million Net Profit, Leading Industry Growth

Historic Financial Performance Achieved

ASBIS Enterprises Plc reported a net profit of $75.3 million for the year ending December 31, 2025, according to results released on February 25, 2026. The figure marks the strongest annual performance in the company’s history.

Robust Revenue Growth And Strategic Focus

The Cyprus-based IT distributor posted record revenue of $3.86 billion, up 28.4% from $3.01 billion a year earlier. Fourth-quarter sales reached $1.25 billion, increasing 34.6% year on year. December revenue exceeded $500 million for the first time.

Growth was supported by a strategy focused on higher-margin products, expansion of value-added services, and development of proprietary brands including AENO, Canyon, and Lorgar.

Capitalizing On Emerging Technologies

Expansion in AI server and data-centre infrastructure became a key growth driver. Sales in the servers and server blocks segment rose 96.9% in Q4, reflecting rising demand for AI-related infrastructure and the company’s shift toward higher-value categories.

Financial Resilience And Operational Efficiency

Gross profit reached $311.6 million in 2025, up 12.3% year on year, while gross margin declined slightly to 7.22% from 7.98%. Total assets increased to $1.49 billion from $1.20 billion at the end of 2024. Operating cash flow reached $209.2 million in Q4.

Operating expenses rose 15.6% to $189.7 million, mainly due to higher personnel costs and marketing investments supporting expansion.

Diversification And Global Market Penetration

Geographical diversification remained a major contributor to growth. Sales in Taiwan increased 268% in Q4. The company also maintained operations in challenging markets such as Ukraine, supporting continuity despite geopolitical risks.

Expanding Retail Footprint And Future Business Lines

Beyond distribution, Asbis expanded its retail presence by opening a Bang & Olufsen flagship store in San Francisco and operating 32 Apple Premium Reseller outlets across seven countries. New business lines, including the Breezy trade-in platform and ASBIS Robotic Solutions, are expected to support growth in 2026.

Outlook: Confidence And Optimism

The company maintained its dividend policy, including an interim dividend of $0.20 per share paid in December 2025. Management expects further growth supported by a strong balance sheet, expansion into higher-margin categories, and continued investment in technology-driven segments.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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