Learn · track 3 of 4

The capital

Who pays for the build-out and on what terms: hyperscaler capex, the deals register, GPU-backed debt and datacentre REITs.

Building AI capacity takes more money than any one balance sheet holds, so the build-out is also a story about capital: who spends it, who lends it and on what terms. The largest spenders report it every quarter. Microsoft, Alphabet, Amazon and Meta paid

$201.9BSEC EDGAR 10-Q/10-K (XBRL): purchases of property and equipment, cash-flow statement (calc.)As of 30 Oct 2026Source
(as of 30 Oct 2026) for property and equipment in the latest quarter,
107.6%SEC EDGAR 10-Q/10-K (XBRL): purchases of property and equipment, cash-flow statement (calc.)As of 30 Oct 2026Source
(as of 30 Oct 2026) on the same quarter a year earlier.

This track follows the money from those budgets to the debt behind the neoclouds. It starts with hyperscaler capex, read from the filings rather than from guidance, and with the deals register, where every deal, listing and set of talks we log is kept with its source. It then explains GPU-backed financing, the asset-backed securities, equipment loans and leases that fund clusters against their customer contracts, and it closes with the economics of datacentre REITs, the landlords that own the buildings.

Sources

  • Microsoft, Alphabet, Amazon and Meta: quarterly and annual reports (10-Q and 10-K, SEC EDGAR), purchases of property and equipment; how we compute it.
  • Compute Terminal deals register; Capital Markets.
  1. 1 · Live figures, updated daily

    Hyperscaler capex in 2026, quarter by quarter from the filings

    Microsoft, Alphabet, Amazon and Meta paid $201.9bn for property and equipment in Q3 2026, up 108% on the same quarter a year earlier ($97.3bn). These are cash figures from the companies' 10-Q and 10-K filings, not guidance.

  2. 2 · Live figures, updated daily

    AI datacentre deals: the last 30 days of transactions

    Between 12 Oct 2026 and 6 Nov 2026 we logged 21 transactions across AI infrastructure: 17 deals, 1 listings and 3 sets of talks. 6 disclosed a value in US dollars, together $125.3bn.

  3. 3 · 6 min read

    GPU-backed financing: asset-backed debt, equipment loans and leases

    How GPU clusters are paid for: debt secured on chips and customer contracts, asset-backed securities, equipment loans and leases, and what lenders actually underwrite.

  4. 4 · 6 min read

    Datacentre REIT economics

    How datacentre REITs earn money, the measures they report, how they fund new building and where AI demand changes the model.

Next track: Reading our data → · Glossary · Start here

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