Meta Platforms reported robust Q1 2026 results with revenue reaching $56.3 billion, up 33% year-over-year and ahead of consensus, alongside adjusted EPS of $7.31. However, the company raised its full-year capex forecast to $125-145 billion to accelerate AI infrastructure, pressuring near-term margins and contributing to a post-earnings pullback that left shares near $585 as of early June. Advertising revenue growth remains the core driver, supported by higher average prices per ad, while analyst consensus 12-month price targets hover around $820. Traders are monitoring Q2 earnings due July 29 and broader tech sector valuation multiples amid elevated AI spending across the industry.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour$184,766 Vol.
↑ $740
2%
↑ $720
2%
↑ $700
7%
↑ $680
10%
↑ $660
17%
↓ $560
55%
↓ $540
28%
↓ $520
19%
↓ $500
13%
↓ $480
14%
$184,766 Vol.
↑ $740
2%
↑ $720
2%
↑ $700
7%
↑ $680
10%
↑ $660
17%
↓ $560
55%
↓ $540
28%
↓ $520
19%
↓ $500
13%
↓ $480
14%
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.
Marché ouvert : May 25, 2026, 12:00 AM ET
Source de résolution
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.
Source de résolution
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Meta Platforms reported robust Q1 2026 results with revenue reaching $56.3 billion, up 33% year-over-year and ahead of consensus, alongside adjusted EPS of $7.31. However, the company raised its full-year capex forecast to $125-145 billion to accelerate AI infrastructure, pressuring near-term margins and contributing to a post-earnings pullback that left shares near $585 as of early June. Advertising revenue growth remains the core driver, supported by higher average prices per ad, while analyst consensus 12-month price targets hover around $820. Traders are monitoring Q2 earnings due July 29 and broader tech sector valuation multiples amid elevated AI spending across the industry.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour
Méfiez-vous des liens externes.
Méfiez-vous des liens externes.
Questions fréquentes