Microsoft Corp. shares are experiencing their worst monthly performance since December 2000, with a decline exceeding 20% in June. The company's market capitalization has fallen significantly, from approximately $4 trillion twelve months ago to $2.65 trillion today, placing it behind Nvidia, Apple, and Alphabet. Despite robust business performance, with revenue growth between 16% and 18% year-over-year for eight consecutive quarters and consistently beating Wall Street earnings estimates, the stock has dropped over 35% since the start of 2026.
The primary culprit for this downturn is the enormous capital expenditure (capex) on artificial intelligence infrastructure. Microsoft's capital spending rose 63% year-over-year, causing free cash flow to fall 10%. This heavy investment in data centers for AI is diverting funds away from shareholders. Bank of America estimates Microsoft's 2026 capex will approach $190 billion, compared to $38 billion last quarter, with hyperscaler capex potentially reaching nearly 100% of operating cash flow in 2026. This means almost no free dollars left for shareholders, impacting potential buybacks and dividends.
Analysts have reacted with caution. Stifel analyst Brad Reback cut his price target for Microsoft to $400, citing potential gross margin compression of 450 basis points by FY27, landing around 63%, significantly below the street consensus of 66.5%. Reback also flagged that Wall Street's FY27 EPS estimate of $19.45 appears too high. Technical strategist John Roque of 22V Research, who rebranded the "Magnificent Seven" as the "Maleficent 7," warned that a break below $350 could lead to a further drop to $250, reflecting roughly 30% downside from current levels.
The market's shift in valuation focus is another key factor. Investors are no longer valuing Microsoft based on its current earnings but rather on the immense costs of building future AI capabilities. This trend is not unique to Microsoft; the five largest hyperscalers (Amazon, Microsoft, Alphabet, Meta, and Oracle) are projected to spend over $700 billion in 2026 on AI infrastructure. This massive spending on the "AI stack" — including semiconductors, memory, cooling systems, and power infrastructure — is benefiting the semiconductor sector, which has surged 94% since January, while the Magnificent Seven are down about 6%.
