Apple, Microsoft, Alphabet, Amazon, Meta, NVIDIA, and Tesla ended their latest fiscal year with a common theme – rising R&D spending and capital investment focused on artificial intelligence (AI). According to GlobalData, the seven companies collectively generated more than $2.08 trillion in revenue, up about 14 percent year-on-year, highlighting the continued strength of the US technology sector amid high interest rates and slower global demand.
AI fuels divergent revenue growth
NVIDIA led the group with a 114 percent surge in revenue to $130.5 billion, driven by massive demand for GPUs powering AI data centers and cloud infrastructure. The chipmaker became the first public company to reach a market capitalization of around $5 trillion in October 2025.
Amazon reported an 11 percent revenue rise to $638 billion, supported by renewed growth in AWS and improved retail efficiency. Meta and Microsoft recorded revenue increases of 22 percent and 15 percent, respectively, as AI integration accelerated across their platforms. Alphabet’s 14 percent growth underscored its dominance in search and cloud services. Apple’s revenue rose 6 percent to $416 billion, reflecting strong services and wearables growth amid flat iPhone sales. Tesla’s revenue remained steady at $97.7 billion, indicating an increasingly mature electric vehicle market and tougher pricing competition.
Record R&D investments underline AI race
Murthy Grandhi, Company Profiles Analyst at GlobalData, noted that R&D spending hit record levels for most companies. Amazon led with $88.5 billion in R&D, aimed at integrating AI across retail, logistics, and AWS. Alphabet followed with $48.8 billion, primarily supporting Gemini AI and data-center optimization. Meta’s R&D spending grew 19 percent to $43.6 billion, reflecting its push into AI and mixed-reality ecosystems despite ongoing Reality Labs losses.
Microsoft invested $32.5 billion in R&D, deepening its collaboration with OpenAI to enhance AI capabilities in Azure and Microsoft 365. Apple’s R&D rose 10 percent to $34.6 billion, targeting advancements in custom chips, on-device AI, and mixed-reality headsets. NVIDIA allocated $12.9 billion toward its expanding data-center roadmap, while Tesla spent $4.5 billion, focusing on AI-driven autonomous systems.
Capex shifts toward data centers and compute infrastructure
Capital expenditure across the Magnificent 7 reached nearly $265 billion in the latest fiscal year, up 27 percent from the prior year. Amazon, Microsoft, and Alphabet accounted for the largest share, driven by heavy data center and networking investments for AI training capacity.
Amazon topped capex at $83 billion, followed by Microsoft at $64.6 billion and Alphabet at $52.5 billion. Meta invested $37 billion, primarily in data centers and servers to support its AI strategy. Tesla’s $11.3 billion spending went toward Gigafactory expansion and the Dojo compute project. Apple maintained moderate capital discipline at $12.7 billion, focusing on production efficiency, while NVIDIA tripled its capex to $3.2 billion, signaling a push to localize supply chains.
Cash positions remain stable amid heavy spending
Despite the rise in investment, total cash holdings across the group stood at $238 billion, slightly lower year-on-year. Amazon and Apple led with $78.8 billion and $35.9 billion, respectively. Microsoft held $30.2 billion, while Alphabet’s balance dipped to $23.5 billion after increased share buybacks. Meta’s cash grew to $43.9 billion, supported by a rebound in advertising revenue. NVIDIA and Tesla maintained lean liquidity levels as they prioritized reinvestment.
AI boom tests long-term sustainability
“The Magnificent 7 entered 2025 at an inflection point,” Grandhi said. “The AI infrastructure boom is driving short-term earnings resilience, but valuations now reflect aggressive growth expectations. If AI monetization fails to keep pace with infrastructure investment, risks of an AI bubble could emerge.”
GlobalData warned that ongoing US-China trade and semiconductor tensions could pressure hardware-centric players such as NVIDIA and Apple, while software-led companies like Microsoft, Alphabet, and Meta may be better positioned.
The evolving network of partnerships around OpenAI—spanning Microsoft’s integration, Apple’s on-device AI plans, and Alphabet’s Gemini platform—shows that ecosystem strategies will define competitive advantage. As AI reshapes business models, 2026 will test whether efficiency gains and product innovation can sustain growth amid rising capital intensity and geopolitical uncertainty.
