What do the quarterly reports from the world’s largest companies reveal?
The earnings season that began in late April was one of the most important periods of the quarter. The world’s five largest technology companies by market capitalization – Alphabet, Meta, Amazon, Microsoft, and Apple – all reported their quarterly results within a matter of days. Overall, the results exceeded expectations. This time, the focus was not only on revenue and earnings figures, but also on how each company is positioning itself in the AI investment race: who is spending how much, on what, and what return on investment they promise. Below, we examine what the numbers revealed for each company.
Alphabet stands out with its comprehensive AI model (chip-data center-cloud-application-data), which provides a significant cost advantage. Growth in cloud services exceeds that of competitors, while the capital expenditure ratio is more controlled compared to peers thanks to its own chips. The market reacted positively to the report.
Despite strong fundamentals, Meta faced a negative market reaction because management significantly increased its projected capital expenditures. The $135 billion annual capex is raising concerns due to uncertainties regarding its return on investment, especially since AI monetization appears less clear-cut for Meta than for its competitors.
In Amazon’s report, AWS continued to prove itself as a robust growth engine, with operating income significantly exceeding expectations. However, high capital expenditures, weak free cash flow, and a somewhat disappointing operating outlook could cause uncertainty in the short term. Demand for its own chip series, called Trainium, could be a positive catalyst in the longer term.
In Microsoft’s case, too, growth in its cloud platform, Azure, helped the company exceed expectations. The company was more cautious than its peers in forecasting the level of new investments. Despite the strong results and the controlled CAPEX plan, the market reaction was muted.
Apple’s report focused less on AI infrastructure and more on the stability of its hardware and ecosystem. Growth was more moderate, and investors are looking for a compelling AI strategy. As a result, the company’s valuation is based more on stable cash flow and shareholder returns than on accelerating growth.
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