Meta Platforms delivered a strong Q1 2026 earnings beat with revenue rising 33% year-over-year to $56.3 billion, driven by robust advertising demand and higher ad prices. However, the company raised its full-year capital expenditure guidance to $125–145 billion to accelerate AI infrastructure spending, which weighed on sentiment and triggered an 8–10% post-earnings decline, leaving the share price near $610 in mid-May. Analyst consensus price targets average around $840, reflecting expectations for continued revenue expansion and operating leverage, though elevated spending creates near-term margin pressure. With Q2 results expected in late July, traders are monitoring ad impression growth, user engagement trends, and any further revisions to AI outlays that could influence monthly price volatility.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · Оновлено$48,672 Обс.
↑ $800
1%
↑ $780
2%
↑ $760
1%
↑ $740
3%
↑ $720
4%
↑ $700
7%
↑ $680
11%
↓ $580
32%
↓ $560
14%
↓ $540
4%
$48,672 Обс.
↑ $800
1%
↑ $780
2%
↑ $760
1%
↑ $740
3%
↑ $720
4%
↑ $700
7%
↑ $680
11%
↓ $580
32%
↓ $560
14%
↓ $540
4%
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.
Ринок відкрито: Apr 25, 2026, 12:00 AM ET
Джерело вирішення
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.
Джерело вирішення
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Meta Platforms delivered a strong Q1 2026 earnings beat with revenue rising 33% year-over-year to $56.3 billion, driven by robust advertising demand and higher ad prices. However, the company raised its full-year capital expenditure guidance to $125–145 billion to accelerate AI infrastructure spending, which weighed on sentiment and triggered an 8–10% post-earnings decline, leaving the share price near $610 in mid-May. Analyst consensus price targets average around $840, reflecting expectations for continued revenue expansion and operating leverage, though elevated spending creates near-term margin pressure. With Q2 results expected in late July, traders are monitoring ad impression growth, user engagement trends, and any further revisions to AI outlays that could influence monthly price volatility.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · Оновлено
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Обережно з зовнішніми посиланнями.
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