A Nikkei investigation has put a number on something markets prefer to keep in the footnotes.
According to reporting amplified this week by HedgieMarkets, Alphabet, Microsoft, Amazon, Meta and Oracle are carrying roughly $1.65 trillion in obligations that do not sit neatly on the balance sheet as debt — more than the $1.35 trillion they officially report. The pile is built from GPU contracts, data-centre leases and joint ventures that accounting rules often keep off the face of the statements until facilities go live.
Meta alone is said to account for about $420 billion of that hidden stack — triple its reported debt in the framing of the report. Oracle’s off-balance-sheet exposure has exploded over a few years. All five companies declined to comment in the coverage.
If those figures are even roughly right, investors reading this earnings season are not looking at the full leverage picture. They are looking at the part that fits on a summary slide.
This is not a fraud story. It is a timing story.
That distinction matters. Lease accounting, executory contracts, take-or-pay compute deals and project structures can be entirely legal and still economically enormous. The BIS had already waved at this as shadow borrowing. Nikkei’s contribution is less moral panic than quantification: someone added up the commitments and refused to pretend the footnotes were decoration.
In CFO language: reported debt is not the same thing as economic leverage. One is a presentation category. The other is what still has to be paid, powered, utilised or impaired if demand disappoints.
Why AI capex makes the old tricks dangerous again
Data centres are not ordinary office leases. They are long-duration, power-hungry, chip-dependent industrial assets with brutal technological depreciation risk. If model demand, pricing power or utilisation come in below the pitch deck, you do not get a gentle roll-off. You get:
- leases and service contracts hitting the accounts as facilities go live;
- impairments on specialised shells and power arrangements;
- stranded capacity funded by private credit, project bonds and insurance balance sheets;
- a sudden market rediscovery that “asset-light” was a drafting choice, not a physical fact.
The bull case says hyperscalers can absorb it because cash flow is immense and AI demand is structural. Maybe. The bear case does not require a collapse in AI — only a miss versus the capacity already contracted.
What boards should actually ask
If you sit on a PE board, a credit committee, or a corporate treasury that sells into this ecosystem, stop arguing about vibes and ask for a one-page economic exposure map:
1. What is on the balance sheet, and what is only in commitments?
Split reported debt, lease liabilities, purchase obligations, residual value guarantees, JV funding lines and take-or-pay compute. If management cannot reconcile the footnote total to a cash timeline, that is the finding.
2. What is the go-live cliff?
Off-balance-sheet is often just delayed on-balance-sheet. When do sites energise? When do minimum payments begin? What percentage of the $1.65T becomes unavoidable over 24 / 48 / 60 months?
3. Who really holds the downside?
Hyperscaler, landlord, chip vendor, private-credit lender, insurer, municipal power counterparty? AI buildout has a habit of distributing risk to people who thought they were funding “infrastructure,” not underwriting model demand.
4. What utilisation breaks the story?
Not the CEO’s base case. The case where GPU pricing falls, delayed model monetisation shows up, or enterprise AI seats grow slower than capacity. Sensitivity tables beat adjectives.
5. Are covenants and ratings looking at the right denominator?
If leverage metrics ignore the commitment stack, your “conservative” credit story is a formatting preference. Rating agencies and relationship banks are already late to some of this; do not wait for them to discover it in a downgrade note.
Earnings season will not headline the footnote
Four of the five names are in the near-term reporting window. The clean debt numbers will look manageable. Buybacks and capex guides will dominate the copy. The $1.65 trillion, if accurate, will remain scattered across commitments, leases and structured vehicles that do not fit a CNBC lower-third.
That is exactly why it is interesting. Markets are very good at pricing the number on the scoreboard. They are worse at pricing the obligation that becomes a number later.
The CFO take
I am not arguing that Big Tech is secretly insolvent. I am arguing that AI infrastructure has reintroduced old-fashioned leverage under new labels, and that PE-facing finance teams should treat off-balance-sheet capacity commitments with the same seriousness they once reserved for opco/propco splits, take-or-pay energy contracts and vendor financing.
Legal is not the same as small. Footnoted is not the same as optional. And “until the data centre goes live” is not the same as “risk has not yet been created.”
If the Nikkei stack holds up under filing-level scrutiny, the next cycle’s post-mortem will not say nobody could have known. It will say the number was sitting in plain sight, one click beneath the balance sheet.
Mark Hendy is a PE-facing CFO and the founder of Tanous. Views his own. Figures referenced from public secondary reporting of a Nikkei investigation via HedgieMarkets; verify against company filings before investment decisions.
Sources / further reading:
HedgieMarkets on the Nikkei findings ·
Bank for International Settlements ·
SEC EDGAR filings ·
Financial Times ·
Reuters
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