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S&P Cuts Meta's Outlook Over Cash Flow and Capex Concerns

Suyash RaizadaSuyash Raizada
S&P Cuts Meta's Outlook Over Cash Flow and Capex Concerns

S&P cuts Meta’s outlook over cash flow and capex concerns, adding to pressure on the AI-heavy big spenders. On Friday, October 30, 2026, S&P Global Ratings kept Meta’s AA- credit rating but moved its outlook to negative from stable. This is not a downgrade. It is a warning that a downgrade could follow if trends do not improve. The move came even as Meta’s AI-driven ad business kept growing, with third-quarter revenue up 26%. If you want to understand the technology behind this spending race, the Certified Artificial Intelligence (AI) Expert program is a helpful place to start. This article explains the story in plain language and is information only, not investment advice.

What Did S&P Announce?

Rating Versus Outlook

A credit rating shows how likely a borrower is to repay its debts. AA- is a very high grade, only a few steps below the top. An outlook is a signal about where the rating may go over the next one to two years. Moving the outlook from stable to negative means S&P sees a meaningful chance of a downgrade, not that one has happened.

Certified Agentic AI Expert Strip

The Official Action

S&P affirmed Meta’s AA- rating and revised the outlook to negative. It cited uncertainty about how long Meta’s capital spending will stay elevated and about its negative free operating cash flow. S&P also said Meta’s ability to monetize its AI investments is more limited than that of its peers. You can find ratings information on S&P Global Ratings and company updates on Meta Investor Relations.

Why Did S&P Take This Step?

Cash Flow Turned Negative

Meta reported its first negative free cash flow in more than a decade. Free cash flow is the cash left after paying for operations and for long-term investments. In the third quarter, capital spending including finance leases reached about $34.9 billion, above operating cash flow of roughly $32.8 billion, which left free cash flow at about negative $2.12 billion. Readers who want to see how AI workloads create these costs can build practical skills with the Certified Artificial Intelligence (AI) Developer course.

Capex Keeps Rising

Meta raised the low end of its 2026 capex guidance to a range of $135 billion to $145 billion. S&P is more cautious about the future. It projects capex of about $140 billion in 2026, more than $225 billion in 2027 (up from $163 billion in its earlier forecast), and about $252 billion in 2028 (up from $178 billion). It expects spending growth to begin flattening in 2028 but is less certain that Meta will cut back as earlier assumed.

Projected Cash Deficits

Based on those capex forecasts, S&P expects free operating cash flow to stay negative: about negative $22 billion in 2026, negative $71 billion in 2027, and negative $39 billion in 2028. It also expects Meta to fund the 2028 shortfall entirely with debt.

What Could Trigger a Downgrade?

Leverage Thresholds

S&P expects Meta’s adjusted leverage, a measure of debt relative to earnings, to be about 0.3 times at the end of 2026, rising to about 1.1 times in 2027 and 1.3 times in 2028. It said it could lower the rating if adjusted leverage rises above 1.0 times on a sustained basis and free operating cash flow stays negative beyond 2028.

What Could Bring Back a Stable Outlook

S&P said the outlook could return to stable if Meta keeps leverage below 1.0 times and gets back to positive free operating cash flow in 2028. That could happen through lower spending, better AI monetization, or non-debt funding. Following how debt ratios, leases, and infrastructure fit together takes broad technical literacy, and a Deep Tech Certification path can help learners understand the systems behind AI finance.

Why Meta’s Strong Ad Business Is Not Enough

Growth Is Real

Meta’s core business is performing well. Third-quarter revenue rose 26% to about $64.6 billion, and Zuckerberg said the core business remains strong, according to coverage of the results. Advertising, boosted by AI tools that improve targeting and performance, drives most of that growth.

A Different Way of Earning From AI

S&P noted that Meta monetizes AI differently from some peers. Cloud rivals can lease computing capacity to frontier AI labs and enterprise customers, creating direct revenue from their data centers. Meta is relying more on better advertising tools and new revenue streams from agentic apps such as Muse. S&P said it is unclear when those revenue streams will generate contributions large enough to exceed their rising costs.

Shares Fell Anyway

Meta shares dropped about 7% after the earnings report despite the revenue beat, according to CNBC, as investors focused on spending and cash flow. This pattern, where strong sales meet worries about costs, has appeared across Big Tech this earnings season.

How Is Meta Funding the Buildout?

Stock and Bonds Together

Meta announced a plan to raise about $95 billion in equity, including $35 billion of underwritten stock and up to $60 billion through at-the-market sales. It also entered the bond market on November 3, aiming to raise at least $20 billion and possibly up to $25 billion in dollar and euro bonds, its first euro offering. In April, it sold $25 billion of bonds that drew $96 billion in orders.

The Balance Sheet

At the end of the third quarter, Meta held about $82.5 billion in cash against about $80.9 billion in long-term debt, according to one report. Another source put long-term debt at $83.7 billion at mid-year. The numbers differ by date and definition, but the trend is clear: debt is rising to fund growth.

How Does This Fit the Wider AI Debt Story?

A Pattern Across Big Tech

Microsoft sold $25 billion of bonds last week, Oracle sold $10 billion and issued stock, and Alphabet sold euro bonds. Reports say five to seven major tech firms have raised hundreds of billions of dollars in bonds since 2025. S&P estimated earlier that hyperscalers will have negative free operating cash flow in 2026 and 2027.

Pressure on Spreads

Meta’s negative free cash flow sent its credit default swap spreads, which measure the cost of insuring its debt, higher last week. The $95 billion equity plan helped bring them down, but spreads remain wider than a year ago. As covered in our earlier article on Big Tech borrowing, investors have demanded bigger price concessions on AI-related bond offerings.

What Do Supporters and Skeptics Say?

The Supportive View

Supporters note that Meta still has a very strong AA- rating, ample cash, and a growing ad business. They argue that heavy AI spending is an investment that can raise ad performance and open new products, and that the outlook change is a caution, not a crisis.

The Cautious View

Skeptics point to deficits that S&P projects through 2028, rising debt, and a less direct way to earn money from AI than some rivals. They worry that if AI revenue arrives later than hoped, financing costs could rise and the rating could fall.

What to Watch Next

  • Meta’s bond pricing: How the new offering prices and trades will show investor appetite.

  • 2027 capex guidance: The fourth-quarter report, expected around late January, could show whether spending tracks S&P’s $225 billion-plus forecast.

  • Free cash flow: Whether the third-quarter loss repeats or widens.

  • Rating moves from others: Actions by Moody’s or Fitch would add context.

  • AI revenue: Signs that Muse and other new products are producing material income.

A Quick Glossary for Beginners

  • Credit rating: A grade of a borrower’s ability to repay debt.

  • Outlook: A signal of where a rating may go, such as stable or negative.

  • Capex: Money spent on long-lived assets like data centers and chips.

  • Free cash flow: Cash left after operations and investments.

  • Leverage: A measure of debt compared with earnings.

  • Credit default swap: An insurance-like contract that pays if a borrower defaults.

What Should Beginners Keep in Mind?

  • An outlook change is a warning, not a downgrade.

  • Do not decide based on one headline, and compare several sources.

  • Remember that strong revenue and weak cash flow can exist together.

  • Only invest money you can afford to lose, and ask a qualified professional about your own situation.

Conclusion

S&P cuts Meta’s outlook over cash flow and capex concerns, but it kept the AA- rating and did not downgrade the company. The agency projects capex above $225 billion in 2027 and cash deficits through 2028, and it questions how quickly Meta’s AI investments will pay off compared with rivals that can rent out computing power. Meanwhile, Meta’s ad business grew 26% last quarter, showing that the core engine is still strong.

The sensible approach is to follow official ratings reports and company filings, compare data, and avoid reacting to a single headline. Clear communication matters when companies face mixed signals like these, and a recognised Marketing Certification can help professionals explain complex financial news in honest, simple language that builds trust.

FAQs

1. Why Did S&P Global Cut Meta's Credit Outlook?

S&P Global Ratings revised Meta Platforms' credit outlook from stable to negative on October 30, 2026. The decision reflects concerns about rising AI infrastructure spending, negative free operating cash flow, increasing financial leverage, and uncertainty about when Meta's AI investments will generate significant returns.

2. Did S&P Downgrade Meta's Credit Rating?

No. S&P changed Meta's outlook to negative but maintained its AA- credit rating. A negative outlook indicates that a downgrade could become more likely over the coming months if the company's financial position weakens.

3. What Is Meta's Current Capital Expenditure Forecast?

Meta expects capital expenditure of approximately $135 billion to $145 billion in 2026. S&P estimates that spending could reach more than $225 billion in 2027 and approximately $252 billion in 2028 as the company expands its AI infrastructure.

4. What Is Capital Expenditure (Capex)?

Capital expenditure, commonly called capex, refers to money a company spends acquiring, building, or upgrading long-term assets. For Meta, this includes AI data centres, servers, advanced processors, networking equipment, and other infrastructure required to operate large-scale AI systems.

5. Why Is Meta Spending So Much Money on Artificial Intelligence?

Meta is investing heavily in AI to improve its advertising systems, develop advanced AI models, build personal AI assistants, and strengthen its computing infrastructure. The company believes these investments could create new revenue opportunities and improve its existing business.

6. What Is Free Operating Cash Flow?

Free operating cash flow measures the cash remaining after a company covers operating requirements and capital investments, using the rating agency's methodology. It helps investors and credit agencies evaluate whether a business can finance expansion, repay debt, and meet financial obligations through internally generated cash.

7. Why Is Meta's Free Cash Flow Becoming Negative?

Meta's infrastructure spending is increasing faster than the cash generated after capital investments. The company reported a free cash flow deficit of approximately $2.12 billion in Q3 2026, compared with positive free cash flow of approximately $10.6 billion in the same period of 2025.

8. How Much Free Operating Cash Flow Deficit Does S&P Expect?

S&P projects Meta could experience free operating cash flow deficits of approximately $22 billion in 2026, $71 billion in 2027, and $39 billion in 2028. The agency also warned that negative cash flow could continue beyond 2028 if spending remains elevated.

9. How Could Meta's AI Investments Affect Its Debt Levels?

Large infrastructure investments could increase Meta's borrowing requirements if internally generated cash cannot cover its spending. S&P expects Meta's leverage to exceed 1.0x as early as 2027, potentially reaching 1.3x in 2028 when additional data-centre lease obligations begin.

10. What Does a Negative Credit Outlook Mean for Meta?

A negative credit outlook signals that a company's creditworthiness could deteriorate in the future. It can influence how bond investors assess the company's financial risk and may increase borrowing costs if market participants demand higher returns for lending money.

11. What Is the Difference Between Credit Rating and Credit Outlook?

A credit rating evaluates a company's ability to meet its financial obligations. A credit outlook indicates the possible future direction of that rating. Meta currently retains its AA- rating, while its negative outlook signals increased concern about future financial performance.

12. How Does Meta Plan to Monetize Its AI Investments?

Meta aims to generate returns from AI through several potential opportunities:

  • Improving advertising recommendations and targeting

  • Increasing user engagement across Facebook and Instagram

  • Developing AI assistants and agents

  • Offering advanced AI tools and subscriptions

  • Exploring AI-powered business services

The challenge is converting these opportunities into revenue that exceeds the substantial costs of development and infrastructure.

13. Why Is S&P Concerned About Meta's AI Monetization?

S&P believes Meta's ability to monetize its AI investments is less established than that of some competitors. The agency is uncertain when new AI-related revenue streams will generate enough income to outweigh their growing infrastructure and operating costs.

14. How Is Meta Responding to S&P's Negative Outlook?

Meta has disagreed with S&P's assessment. A company spokesperson stated that Meta sees significant product and business opportunities ahead and believes its credit profile remains strong. Management has also reiterated its intention to continue investing aggressively in AI.

15. How Much Debt Does Meta Currently Have?

Meta reported approximately $80.92 billion in long-term debt as of September 30, 2026. S&P is also considering the company's increasing lease obligations and other financial commitments when evaluating its overall leverage and credit position.

16. How Could Meta's Spending Affect Its Stock Price?

Rising capital expenditure and negative cash flow can create uncertainty about future profitability. Investors may become concerned about whether AI investments will generate sufficient returns, potentially putting pressure on Meta's valuation. However, successful AI products and stronger advertising performance could improve investor confidence.

17. How Does Meta's AI Spending Compare With Other Big Tech Companies?

Meta is competing with Microsoft, Alphabet, Amazon, and other technology companies that are investing heavily in AI infrastructure. These businesses are expanding data centres, acquiring advanced processors, and developing AI platforms. However, their revenue models and ability to monetise AI investments differ.

18. Could S&P Downgrade Meta's Credit Rating in the Future?

Yes. A downgrade could become possible if Meta's capital expenditure remains higher than expected, free operating cash flow stays negative for an extended period, or leverage increases significantly. However, the negative outlook is a warning rather than confirmation that a downgrade will happen.

19. What Are the Biggest Financial Risks Facing Meta?

Meta faces several financial risks:

  • Increasing AI infrastructure costs

  • Persistent negative free cash flow

  • Higher borrowing and lease obligations

  • Delayed returns from AI investments

  • Competition in the AI industry

  • Uncertainty surrounding future advertising revenue

  • Potential increases in financing costs

These factors could affect its financial flexibility and creditworthiness.

20. What Does S&P's Decision Mean for the Future of AI Investment?

S&P's decision highlights a growing concern across the technology industry: building AI infrastructure requires enormous capital, but generating sustainable returns may take years. Companies will increasingly need to demonstrate that their AI investments can produce measurable revenue, stronger productivity, and long-term profitability. Meta's situation could become an important example of how credit markets evaluate the financial risks of the AI boom.

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