A Financial Times chart built on Bloomberg consensus estimates shows the combined free cash flow of Alphabet, Meta, Microsoft and Amazon falling to about $60 billion in 2027 and then rising to about $640 billion by 2030. The values are approximate, read by us from the chart’s bars.
By our arithmetic, that path takes the four from about $230 billion in 2024, their highest actual year on the chart, to roughly a quarter of that in 2027, and then to about 10 times the 2027 level by 2030.
Business Pill · Free Cash Flow
An evergreen explainer on free cash flow. It teaches the general idea only and says nothing about the companies in this piece.
Animated: the same approximate values, read by FourWeekMBA from an FT chart (S&P Capital IQ historical, Bloomberg consensus 2026 to 2030).
The key insight: As we read the FT chart, Bloomberg’s consensus treats Big Tech’s cash squeeze as a two-year gap: combined free cash flow falls to about $60 billion in 2027 and then climbs to about $640 billion by 2030, approximate values read from the bars.
The chart is titled “Free cash flow ($bn)” and splits each year’s bar into Alphabet, Meta, Microsoft and Amazon from 2006 to 2030. A shaded panel labelled “Estimates” covers 2026 to 2030. Its source line reads “S&P Capital IQ (historical figures), Bloomberg (consensus estimates)”.
By our reading of the bars, the four’s combined free cash flow was about $205 billion in 2023, about $230 billion in 2024 and about $200 billion in 2025. The estimates then show about $70 billion in 2026, net of Amazon’s bar below zero, and about $60 billion in 2027.
The estimates then rise to about $215 billion in 2028, about $415 billion in 2029 and about $640 billion in 2030. In the 2030 bar, by our reading, Alphabet is about $210 billion, Microsoft about $160 billion, Amazon about $165 billion and Meta about $100 billion.
Combined free cash flow of Alphabet, Meta, Microsoft and Amazon, approximate values read by FourWeekMBA from a Financial Times chart (S&P Capital IQ historical figures, Bloomberg consensus estimates for 2026 to 2030): about $230 billion in 2024, about $60 billion in 2027 and about $640 billion in 2030.
How It Squares With the Filings
As we read it, the chart’s annual dip comes as the latest quarterly filings already show pressure. In our earlier piece, Amazon, Alphabet, Microsoft, Meta and Oracle spent about $31.8 billion more on property and equipment in their latest quarter than their operations brought in, by our arithmetic from their 10-Q filings, against about $61.4 billion left over a year earlier.
Our capex tracker puts the five’s third-quarter capex at $230.4 billion, 2.2 times the $105.8 billion of a year earlier, against combined operating cash flow of $198.6 billion.
The rebound also matches another chart we covered. A Bloomberg Intelligence chart in our funding-gap piece showed, by our reading, the four biggest hyperscalers’ funding gap falling from about $115 billion in fiscal 2027 to about $15 billion in fiscal 2028.
The Business Lever: Spend Now, Cash Later
As we read the chart, the consensus treats the current squeeze as temporary: combined free cash flow shrinks in 2026 and 2027, with Amazon below zero in 2026, and recovers from 2028. The FT’s earlier reporting framed the same shift in a May headline, “Big Tech’s $725bn AI spending spree sends free cash flow to a decade low”.
By our arithmetic, the 2030 estimate is about 2.8 times the 2024 peak. As we read it, the chart does not show whether that comes from lower capital spending or higher operating cash flow.
The Structural Read
As we read it, the dip in the estimates follows a quarter in which, by our filing arithmetic, the five biggest builders’ capex exceeded their operating cash flow.
By our arithmetic, the 2030 estimate is about 10 times the 2027 estimate and about 2.8 times the 2024 actual of about $230 billion.
As we read the 2030 bar, Alphabet is the largest single contributor at about $210 billion, with Microsoft and Amazon each at about $160 billion to $165 billion.
Financial Times headline, May 2026
“Big Tech’s $725bn AI spending spree sends free cash flow to a decade low”
Three Implications
FOR INVESTORS By our reading of the FT chart, the consensus has 2026 and 2027 as the low years, with Amazon below zero in 2026.
FOR LENDERS Our earlier filing arithmetic shows the five biggest builders spent about $31.8 billion more on capex than operations brought in last quarter.
FOR THE BUILD-OUT By our reading, a Bloomberg Intelligence chart we covered shows the four biggest hyperscalers’ funding gap falling to about $15 billion in fiscal 2028, the same year the FT chart’s estimates rebound.
The framework says: “The $1T capex cycle is being underwritten by a $1T concentrated demand commitment from two counterparties whose combined free cash flow is deeply negative.”
As we read it, the FT chart shows the other side of that cycle: the builders’ own free cash flow. The framework does not discuss this chart.
The chart does not give the date of the Bloomberg consensus, and we could not identify which FT article it accompanies. All values here are read by us from the bars and are approximate; the 2026 to 2030 figures are analysts’ estimates, not company guidance. The ratios, the quarter-of-peak comparison and the 2.8 times figure are our arithmetic. Oracle is in our filing totals but not in the chart.
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A Financial Times chart of Bloomberg consensus shows Big Tech’s combined free cash flow bottoming at about $60 billion in 2027, after about $230 billion in 2024, then rising to about $640 billion by 2030. The filings already show the squeeze: the five biggest builders spent about $31.8 billion more on capex than operations brought in last quarter.
A note on sourcing. The chart values are our approximate reading of a Financial Times chart that cites S&P Capital IQ for historical figures and Bloomberg for consensus estimates; we redrew it rather than republishing it. The filing figures come from our earlier 10-Q arithmetic. Comparisons labelled as our arithmetic are ours.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
