Meta Platforms shares trade near $617 amid heavy AI infrastructure spending that drove Q2 2026 capital expenditures to $31 billion and full-year guidance to $130–145 billion, contributing to a sharp drop in free cash flow and an earnings miss after $2.4 billion in legal charges and severance. Revenue rose 28% year-over-year to $60.8 billion on 27% higher average ad prices and 14% more impressions, yet operating margins contracted to 31% as expenses climbed 55%. The stock’s year-to-date decline of roughly 6% and pullback from the $790 high reflect sensitivity to rising Treasury yields and potential Federal Reserve rate hikes, which compress multiples for capital-intensive growth names. Q3 revenue guidance of $61–64 billion and the next earnings release in early November remain key near-term catalysts for September price levels.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$17,753 Vol.
↑ $720
8%
↑ $700
11%
↑ $680
26%
↑ $660
41%
↑ $640
65%
↑ $620
88%
↓ $600
76%
↓ $580
49%
↓ $560
30%
↓ $540
18%
↓ $520
7%
↓ $500
3%
↓ $480
3%
↓ $460
3%
↓ $440
3%
$17,753 Vol.
↑ $720
8%
↑ $700
11%
↑ $680
26%
↑ $660
41%
↑ $640
65%
↑ $620
88%
↓ $600
76%
↓ $580
49%
↓ $560
30%
↓ $540
18%
↓ $520
7%
↓ $500
3%
↓ $480
3%
↓ $460
3%
↓ $440
3%
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: Sep 3, 2026, 12:42 PM 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 shares trade near $617 amid heavy AI infrastructure spending that drove Q2 2026 capital expenditures to $31 billion and full-year guidance to $130–145 billion, contributing to a sharp drop in free cash flow and an earnings miss after $2.4 billion in legal charges and severance. Revenue rose 28% year-over-year to $60.8 billion on 27% higher average ad prices and 14% more impressions, yet operating margins contracted to 31% as expenses climbed 55%. The stock’s year-to-date decline of roughly 6% and pullback from the $790 high reflect sensitivity to rising Treasury yields and potential Federal Reserve rate hikes, which compress multiples for capital-intensive growth names. Q3 revenue guidance of $61–64 billion and the next earnings release in early November remain key near-term catalysts for September price levels.
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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