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Analysts warn Meta’s cash flow may turn negative by 2027

Meta’s stock rose 33.1% in a month but analysts question its financial health. On The Investor’s Podcast, host Daniel Mahncke projected no free cash flow between 2026 and 2028, with $784 million in Q2 2026 offset by $31.1 billion in capex. Shawn O’Malley highlighted $700 billion in off-balance-sheet liabilities for Meta, up 800% year-over-year, citing leases and server commitments.

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Key points

  • Meta’s Q2 2026 free cash flow was **$784 million**, but capex hit **$31.1 billion**
  • Analysts predict **no free cash flow** for Meta until **2030**, with **$700 billion** in off-balance-sheet liabilities
  • Alphabet’s Google Cloud revenue grew **82%** in Q2, while Meta’s Reality Labs lost **$4.6 billion** on **$430 million** revenue

Critics like CNBC’s Steven Grasso argue Meta’s $4.6 billion loss in Reality Labs—on $430 million in revenue—shows weak diversification. Bullish analysts, including Jefferies’ Brent Thill, point to 1 million weekly users of Meta’s business agents but warn monetization remains unproven. Alphabet (Google) was recommended as an alternative, with 82% Q2 growth in Google Cloud revenue and a 17 P/E ratio versus Meta’s 23. Microsoft’s Azure hit $100 billion in annual revenue, contrasting with Meta’s delayed revenue visibility.

The story so far

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  1. Analysts warn Meta’s cash flow may turn negative by 2027this story
Full story from 247wallst.com · by Trey Thoelcke · via Search: MetaOpen source ↗

Why Some Traders Are Ditching Meta for Cleaner AI Plays

247wallst.com · 24 September 2026

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This text was published by 247wallst.com and written by Trey Thoelcke. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Coverage and discussion

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Topics · follow one to build your own front page
Meta PlatformsAlphabetMicrosoftCNBCJefferiesThe Investor’s PodcastDaniel MahnckeShawn O’MalleySteven GrassoBrent ThillNathan

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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