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Home Themes AI

Meta’s AI Spending Boom: Record Cash Flow Masks Heavy Debt and Stock-Comp Costs

by Team Lumida
February 23, 2026
in AI
Reading Time: 4 mins read
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Meta’s AI Spending Boom: Record Cash Flow Masks Heavy Debt and Stock-Comp Costs
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Key takeaways

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  • Meta reported $43.6B in free cash flow (2025), yet $42B in cash costs tied to stock-based compensation consumed ~96% of it.
  • The company more than doubled debt to $58.7B, alongside large off-balance-sheet financing for a $27B data-center project.
  • Traditional free cash flow excludes cash outlays for employee tax withholding and dilution-offset buybacks, distorting valuation optics.
  • At ~$1.66T market cap, Meta trades at ~38x reported FCF—but multiples surge if stock-comp cash costs are treated as operating expenses.

What Happened?

Meta reported $115.8B in operating cash flow and $72.2B in capital expenditures, resulting in $43.6B of free cash flow for 2025. On the surface, this suggests the company comfortably funded its massive AI infrastructure expansion.

However, cash costs directly tied to stock-based compensation—including $18.4B in withholding taxes when shares vested and an estimated $23.6B in buybacks to offset dilution—totaled roughly $42B. These costs are classified as financing activities under accounting rules and therefore excluded from free cash flow. Meanwhile, Meta more than doubled its debt to $58.7B and used complex financing structures to keep a $27B data-center project off its balance sheet.


Why It Matters?

The core issue is valuation integrity. Free cash flow is widely used to assess a company’s discretionary cash generation and justify multiples. But if nearly all of Meta’s reported free cash flow is consumed by stock-compensation-related cash outflows, the metric may overstate true economic flexibility.

If those cash costs were treated as operating expenses, Meta’s valuation would look materially richer. At current levels, the stock trades around 38x reported FCF—already elevated for a company in heavy capex mode. Adjusted for stock-comp cash costs, effective free cash generation shrinks dramatically, implying far higher multiples.

This dynamic also explains the rising leverage. AI data-center spending is accelerating, while compensation structures continue to rely heavily on equity awards. Debt fills the funding gap. Compared with peers like Alphabet, Microsoft, and Nvidia, Meta stands out for the proportion of stock-comp cash costs relative to free cash flow.


What’s Next?

Investors should monitor three factors:

First, whether Meta moderates equity compensation or continues offsetting dilution aggressively through buybacks.

Second, the sustainability of AI capex intensity—particularly if debt continues rising.

Third, how markets recalibrate valuation frameworks if analysts increasingly adjust free cash flow for stock-comp-related cash costs.

The central question is duration: How long can Meta sustain AI-scale investment while financing employee compensation and maintaining shareholder returns without materially increasing leverage?

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