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TL;DR
Amazon, Microsoft, Alphabet and Meta spent about $202 billion on property and equipment in the third quarter of 2026, more than twice the year-earlier amount, according to figures calculated from company filings. Their funding mix includes cash, bonds, loans, leases and equity, while future data-center lease payments and long-term power commitments expose investors and other parties to risks if AI revenues lag spending.
Amazon, Microsoft, Alphabet and Meta spent about $202 billion on property and equipment from July through September 2026, more than twice the roughly $97 billion recorded a year earlier, according to a calculation based on their filings. The spending surge is being financed not only from company cash but also through borrowing, share sales, leases and partnerships, spreading the financial exposure beyond the technology companies themselves.
The financing moves came as the companies reported sharp increases in capital spending. Amazon recorded $77.3 billion in property and equipment spending for the quarter; Alphabet reported $51.4 billion, Microsoft $39.4 billion in cash spending, and Meta $33.9 billion. Microsoft’s total rises to $45.2 billion when new finance leases are included, according to its filing. The source’s combined total is a calculation from company cash-flow statements, rather than a figure reported by the companies as a group.
Three companies’ reported quarterly spending exceeded the operating cash they generated over the same period, based on the source’s comparison. Amazon generated $42.4 billion in operating cash, Alphabet $42.3 billion and Meta $32.8 billion; Microsoft generated $58 billion. The source calculates that Microsoft had about $18.6 billion remaining after its cash capital spending. These comparisons do not establish that any company cannot meet its obligations, but they show why funding sources beyond current cash flow are becoming more prominent.
Recent financing includes Meta’s sale of $25 billion in its own stock and $12.5 billion in preferred shares, Microsoft’s $25 billion bond sale, and an Amazon-arranged loan of up to $80 billion secured by servers it plans to buy. The source also calculates that Amazon, Alphabet and Meta raised about $225 billion in long-term debt in the first nine months of 2026. Separately, the four companies had about $1.02 trillion in future payments under leases that had not yet begun as of September 30, based on the source’s sum of their quarterly filings.
Infographic 01 · One quarter, four companies
The bill doubled. The cash did not.
What Amazon, Microsoft, Alphabet and Meta paid for buildings, servers and chips from July to September 2026, set against the cash their businesses brought in.
AmazonQ3 2025: $35.1B spent
Spent $34.9B more than came in
AlphabetQ3 2025: $24.0B spent
Free cash flow −$9.1B
MicrosoftQ3 2025: $19.4B spent
$18.6B left over
MetaQ3 2025: $18.8B spent
Free cash flow −$2.1B
Cash purchases of property and equipment as reported; not all of it is for AI (Amazon also builds warehouses). Gaps for Amazon and Microsoft are my arithmetic; free cash flow for Alphabet and Meta as the companies report it. Microsoft’s quarter is its fiscal Q1 2027 (July–September 2026).
Sources: Amazon results, 29 Oct · Microsoft 10-Q, 28 Oct · Alphabet results, 28 Oct · Meta results, 21 Oct. Debt raised: cash flow statements, nine months 2026.
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Who Carries the Data Center Bill
The scale and mix of funding matter because building AI capacity creates obligations that can last longer than the equipment it supports. The source says servers are typically written off over five to six years, while data-center leases can run up to 20 years, power agreements often span 15 to 20 years, and some bonds extend for 40 years. If demand or AI revenue grows more slowly than expected, companies may still face payments for facilities, electricity or debt.
That exposure does not fall evenly. The source points to newer GPU cloud providers, building-owning partnerships and their investors as areas where financing risks may be sharper than at the large technology companies. It cites CoreWeave senior notes carrying interest rates of 8.5% to 9.75%. The source also identifies investors, pension funds and electricity customers as parties that could bear some costs, though the extent would depend on contract terms and market conditions.
For customers and local communities, the issue extends beyond corporate balance sheets. Data centers require substantial electricity and infrastructure, and long-term power commitments may shape energy costs and supply planning. The source does not quantify any resulting effect on household bills, so that outcome should not be assumed from the spending figures alone.
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From Cash-Funded Growth to Mixed Finance
The source describes a change from an earlier period in which major technology companies generally funded data centers from profits generated by advertising, software and online commerce. In 2026, the pace and scale of AI infrastructure spending have led the companies to use several funding channels at once. These include operating cash, bonds and loans, leases, outside building owners or strategic partners, and new equity.
Company forecasts underline the scale of the planned build-out. Amazon said it expected about $220 billion in cash capital spending for 2026 and that the increase primarily reflected AI investment. Alphabet kept its 2026 capital-spending outlook at $195 billion to $205 billion and said it expected a significant increase in 2027. Microsoft projected about $170 billion for calendar 2026, while Meta forecast $135 billion to $145 billion, including finance-lease payments. These are company forecasts, not completed spending.
Meta described its intended approach in an October 26 statement: funding AI investments through a mix of operating cash flow, investment-grade debt, strategic partnerships and equity. That formulation illustrates the broader funding shift, but it does not by itself show how much of the planned investment will come from each source.
“through a balanced mix of operating cash flow, investment-grade debt, strategic partnerships, and equity capital.”
— Meta, in a statement dated October 26, as quoted by ThorstenMeyerAI.com
Revenue Against Long-Term Obligations
The filings and calculations show the size of current spending and certain future commitments, but they do not establish whether the build-out will earn enough to justify its cost. Future AI revenue, customer demand and facility utilization remain uncertain. Nor does the source provide a company-by-company breakdown of how the roughly $1.02 trillion in unstarted lease payments is allocated across data centers and other assets.
The figures also have different scopes: some are cash capital spending, while Microsoft’s larger total includes finance leases and Meta’s forecast includes finance-lease payments. The combined spending figure is the source author’s calculation, not a single reported measure. The material does not spell out the terms of Amazon’s proposed loan, the conditions attached to all partnerships, or how financing risks would be divided among technology companies, building owners and lenders.
Whether this represents a “bubble” cannot be determined from spending and financing figures alone. The outcome will depend on future revenues, operating costs, financing terms and whether infrastructure remains useful as demand changes.
Company Spending Plans Through 2027
The next evidence will come from subsequent company filings and results, which can show whether capital spending follows current forecasts and how much is funded through cash, debt, leases or outside partners. Investors will also watch for updates to Amazon’s 2026 spending plan, Alphabet’s expected 2027 increase, and the pace at which data-center capacity is brought into service.
Further details on lease commitments, power agreements and financing arrangements would help clarify where obligations sit and how long they last. Until those disclosures and future AI revenue trends are clearer, the central question is not just how much infrastructure the companies can build, but whether income from its use can keep pace with the bills.
Key Questions
How much did the four companies spend in the third quarter of 2026?
About $202 billion on property and equipment from July through September, according to the source author’s calculation from company cash-flow statements. The comparable year-earlier total was about $97 billion.
What funding sources are the companies using?
The reported mix includes operating cash, bonds and loans, leases, partnerships and equity financing. The source does not provide a complete breakdown of how much each company will raise through each channel.
What does the $1.02 trillion lease figure represent?
It is the source author’s sum of the four companies’ filings for future payments under leases that had not started as of September 30, 2026. It is a future commitment total, not an amount paid during the quarter.
Does the spending prove that AI data centers are a bubble?
No. The figures document substantial investment and financing commitments, but they do not establish whether future AI revenues will cover the costs. That depends on demand, facility use, revenue growth and financing terms.
Source: ThorstenMeyerAI.com
