Meta Platforms' share price in September 2026 will reflect ongoing tension between robust advertising momentum and elevated AI-related costs. Revenue rose 28% year-over-year to $60.8 billion in Q2 2026, driven by 14% higher ad impressions and 12% pricing gains, with Q3 guidance of $61-64 billion implying continued double-digit growth. However, EPS missed estimates at $6.18 amid $2.4 billion in legal charges and $1.18 billion in severance, while free cash flow collapsed to $784 million as capex guidance narrowed to $130-145 billion for the year. Shares have consolidated near $545 after the post-earnings selloff, trading at roughly 22 times annualized earnings, with analysts maintaining average 12-month targets around $750 amid uncertainty over AI monetization timelines and operating margins.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated↑ $700
50%
↑ $680
50%
↑ $660
50%
↑ $640
53%
↑ $620
50%
↑ $600
48%
↑ $580
50%
↓ $560
53%
↓ $540
52%
↓ $520
50%
↓ $500
50%
↓ $480
51%
↓ $460
50%
↓ $440
48%
$0.00 Vol.
↑ $700
50%
↑ $680
50%
↑ $660
50%
↑ $640
53%
↑ $620
50%
↑ $600
48%
↑ $580
50%
↓ $560
53%
↓ $540
52%
↓ $520
50%
↓ $500
50%
↓ $480
51%
↓ $460
50%
↓ $440
48%
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" and "Low" 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/low 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: Aug 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" and "Low" 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/low 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' share price in September 2026 will reflect ongoing tension between robust advertising momentum and elevated AI-related costs. Revenue rose 28% year-over-year to $60.8 billion in Q2 2026, driven by 14% higher ad impressions and 12% pricing gains, with Q3 guidance of $61-64 billion implying continued double-digit growth. However, EPS missed estimates at $6.18 amid $2.4 billion in legal charges and $1.18 billion in severance, while free cash flow collapsed to $784 million as capex guidance narrowed to $130-145 billion for the year. Shares have consolidated near $545 after the post-earnings selloff, trading at roughly 22 times annualized earnings, with analysts maintaining average 12-month targets around $750 amid uncertainty over AI monetization timelines and operating margins.
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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