Why Microsoft just gained a record $450 billion in one day – Firstpost


Microsoft’s biggest problem this year was not a lack of AI ambitions. It was convincing investors that the billions it was pouring into data centres and computing infrastructure would actually pay off. Its latest results may have changed that.

The software giant’s shares jumped more than 15 per cent on Thursday, adding nearly $450 billion to its market value in a single trading session. That was the biggest one-day increase in market capitalisation ever recorded for a company, according to LSEG data, as reported by Reuters. Microsoft’s market value rose to about $3.35 trillion, overtaking Nvidia’s previous record gain of $441 billion set in April 2025.

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But the headline number tells only part of the story.

The bigger reason behind the rally was Microsoft’s latest earnings and outlook, which reassured investors that its multibillion-dollar AI infrastructure build-out is beginning to generate returns.

Azure growth beats expectations

At the centre of the optimism was Azure, Microsoft’s cloud-computing business and one of the biggest beneficiaries of the AI boom.

Azure revenue rose 43 per cent in Microsoft’s fiscal fourth quarter, beating Wall Street expectations. More importantly, Microsoft expects Azure growth to accelerate to 45 per cent on a constant-currency basis in the first quarter of fiscal 2027.

That is significantly above analysts’ forecast of about 40.9 per cent, according to Visible Alpha data.

For investors, the acceleration matters more than the quarterly beat. It suggests that demand for cloud computing, AI infrastructure and related services remains strong even as Microsoft continues to spend heavily on data centres and computing capacity.

Azure also crossed $100 billion in annual revenue for the first time, underlining how important the cloud business has become to Microsoft’s growth story.

The AI spending question is changing

For much of the past year, one of the biggest questions surrounding Microsoft and other technology giants has been whether their enormous AI investments will generate enough revenue to justify the cost.

Microsoft has been spending tens of billions of dollars on data centres, advanced chips, networking equipment and other infrastructure needed to support AI services.

That spending has raised concerns about pressure on margins and free cash flow.

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The latest results helped shift the conversation.

The key takeaway for investors was that Microsoft is no longer asking markets to simply believe that AI spending will pay off in the future. Its cloud growth is providing evidence that customers are already paying for the computing capacity being built.

Microsoft keeps spending heavily on AI

The rally does not mean Microsoft is backing away from its AI infrastructure plans.

Quite the opposite.

Microsoft expects capital expenditure of about $50 billion in its fiscal first quarter of 2027. It also expects capital expenditure of about $175 billion for calendar 2026.

The important point for investors was that the company did not significantly raise its spending plans while simultaneously delivering stronger cloud-growth guidance.

That helped ease concerns that Microsoft might have to continually increase its AI spending just to keep pace with demand.

The market is therefore beginning to focus less on the absolute size of Microsoft’s AI bill and more on whether that spending is producing sufficient revenue and cash generation.

Cash flow provides another boost

Microsoft’s ability to keep generating cash despite its enormous AI investments was another important factor behind the rally.

The company has indicated that it expects to remain cash-generative through its new fiscal year, helping counter concerns that the AI infrastructure boom could turn into a prolonged cash drain.

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That distinction is important for investors.

Technology companies can spend heavily on AI infrastructure, but the market ultimately wants to see revenue growth and cash returns from that investment. Microsoft’s latest results offered stronger evidence that the company can fund a large part of its AI expansion while maintaining its financial strength.

Why investors were especially positive

The reaction also needs to be viewed against Microsoft’s recent stock performance.

The company had lagged several of its “Magnificent Seven” peers this year. Its shares were down more than 18 per cent through Wednesday’s close.

That left the stock with a relatively low bar to clear.

The earnings report did more than deliver strong numbers. It changed the narrative around Microsoft.

Investors had been asking whether the company was spending too much on AI without enough evidence of returns. The latest Azure forecast suggested that demand is strong enough to support continued investment.

That change in perception helps explain the extraordinary scale of Thursday’s rally.

Analysts raise Microsoft price targets

Wall Street also responded positively to the results.

At least nine brokerages raised their price targets for Microsoft, with the average target rising to about $560.90.

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The upgrades indicate that analysts now see greater scope for Microsoft’s cloud and AI businesses to support earnings growth.

The market’s reaction also shows how quickly sentiment can change when a company demonstrates that AI spending is translating into measurable commercial growth.

What happens next?

The biggest test for Microsoft will be whether it can sustain the acceleration in Azure growth while controlling the cost of its AI expansion.

The company is still committing extraordinary sums to data centres and computing infrastructure. Its $175 billion capital expenditure plan for 2026 is evidence of the scale of the bet.

But for now, investors appear more comfortable with that spending because Microsoft’s cloud business is growing rapidly and management expects further acceleration.

That is ultimately why Microsoft added nearly $450 billion in market value in one day.

The rally was not simply a bet on artificial intelligence.

It was a bet that Microsoft is beginning to turn AI from a massive capital expenditure story into a massive revenue and cash-generation story.

With inputs from agencies.

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