Meta Platforms reported Q2 2026 revenue of $60.8 billion, up 28% year-over-year and ahead of estimates, driven by advertising strength, though diluted EPS of $6.18 missed consensus and free cash flow fell sharply to $784 million due to $31.1 billion in capex. Full-year capex guidance rose to $130–145 billion, pressuring margins while analysts maintain bullish long-term views on AI monetization, with consensus 12-month price targets near $785. Shares have traded in the $540–600 range through late August, recently near $550, reflecting the balance between near-term investment costs and revenue momentum ahead of the October 28 earnings release. Trader sentiment on monthly price levels incorporates these fundamentals alongside broader tech sector risk appetite and macroeconomic data.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$39,092 Vol.
↑ $720
2%
↑ $700
2%
↑ $680
3%
↑ $660
7%
↑ $640
4%
↑ $620
5%
↓ $520
20%
↓ $500
11%
↓ $480
4%
↓ $460
2%
$39,092 Vol.
↑ $720
2%
↑ $700
2%
↑ $680
3%
↑ $660
7%
↑ $640
4%
↑ $620
5%
↓ $520
20%
↓ $500
11%
↓ $480
4%
↓ $460
2%
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied.
The resolution source for this market is Pyth — specifically, the Meta Platforms, Inc. (META) "High" prices available at https://pythdata.app/explore/Equity.US.META%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.META%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Market Opened: Jul 25, 2026, 12:00 AM ET
Resolution Source
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied.
The resolution source for this market is Pyth — specifically, the Meta Platforms, Inc. (META) "High" prices available at https://pythdata.app/explore/Equity.US.META%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.META%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Resolution Source
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Meta Platforms reported Q2 2026 revenue of $60.8 billion, up 28% year-over-year and ahead of estimates, driven by advertising strength, though diluted EPS of $6.18 missed consensus and free cash flow fell sharply to $784 million due to $31.1 billion in capex. Full-year capex guidance rose to $130–145 billion, pressuring margins while analysts maintain bullish long-term views on AI monetization, with consensus 12-month price targets near $785. Shares have traded in the $540–600 range through late August, recently near $550, reflecting the balance between near-term investment costs and revenue momentum ahead of the October 28 earnings release. Trader sentiment on monthly price levels incorporates these fundamentals alongside broader tech sector risk appetite and macroeconomic data.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated


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