Airbnb's stock has climbed to four-year highs near $190 following its August 6, 2026, Q2 earnings release, which showed revenue of $3.61 billion (up 17% year-over-year) and EPS of $1.37, both beating consensus, alongside raised full-year guidance and Adjusted EBITDA margin expansion to 35%. Gross booking value grew 16% to $27.2 billion on sustained demand and higher average daily rates, with nights booked accelerating and app usage rising sharply. These results have supported positive analyst revisions, including price targets up to $217, though the consensus twelve-month target remains around $172–176. Traders are monitoring Q3 earnings due November 5, seasonal travel patterns, and any macroeconomic shifts in consumer spending or interest rates that could influence near-term share price levels through September.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日新規
2026/09/30
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↓ $172
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This market will resolve to "Yes" if, at any point after market creation and during September 2026, any 1-minute candle for Airbnb, Inc. (ABNB) has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
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 Airbnb, Inc. (ABNB) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.ABNB%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.ABNB%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.Airbnb's stock has climbed to four-year highs near $190 following its August 6, 2026, Q2 earnings release, which showed revenue of $3.61 billion (up 17% year-over-year) and EPS of $1.37, both beating consensus, alongside raised full-year guidance and Adjusted EBITDA margin expansion to 35%. Gross booking value grew 16% to $27.2 billion on sustained demand and higher average daily rates, with nights booked accelerating and app usage rising sharply. These results have supported positive analyst revisions, including price targets up to $217, though the consensus twelve-month target remains around $172–176. Traders are monitoring Q3 earnings due November 5, seasonal travel patterns, and any macroeconomic shifts in consumer spending or interest rates that could influence near-term share price levels through September.
This market will resolve to "Yes" if, at any point after market creation and during September 2026, any 1-minute candle for Airbnb, Inc. (ABNB) has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
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 Airbnb, Inc. (ABNB) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.ABNB%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.ABNB%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.
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 Airbnb, Inc. (ABNB) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.ABNB%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.ABNB%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.
マーケット開始日： Aug 25, 2026, 12:00 AM ET
音量
$0終了日
2026/10/01マーケット開始日
Aug 25, 2026, 12:00 AM ETThis market will resolve to "Yes" if, at any point after market creation and during September 2026, any 1-minute candle for Airbnb, Inc. (ABNB) has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
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 Airbnb, Inc. (ABNB) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.ABNB%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.ABNB%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.Airbnb's stock has climbed to four-year highs near $190 following its August 6, 2026, Q2 earnings release, which showed revenue of $3.61 billion (up 17% year-over-year) and EPS of $1.37, both beating consensus, alongside raised full-year guidance and Adjusted EBITDA margin expansion to 35%. Gross booking value grew 16% to $27.2 billion on sustained demand and higher average daily rates, with nights booked accelerating and app usage rising sharply. These results have supported positive analyst revisions, including price targets up to $217, though the consensus twelve-month target remains around $172–176. Traders are monitoring Q3 earnings due November 5, seasonal travel patterns, and any macroeconomic shifts in consumer spending or interest rates that could influence near-term share price levels through September.
This market will resolve to "Yes" if, at any point after market creation and during September 2026, any 1-minute candle for Airbnb, Inc. (ABNB) has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
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 Airbnb, Inc. (ABNB) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.ABNB%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.ABNB%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.
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 Airbnb, Inc. (ABNB) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.ABNB%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.ABNB%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.
音量
$0終了日
2026/10/01マーケット開始日
Aug 25, 2026, 12:00 AM ETAirbnb's stock has climbed to four-year highs near $190 following its August 6, 2026, Q2 earnings release, which showed revenue of $3.61 billion (up 17% year-over-year) and EPS of $1.37, both beating consensus, alongside raised full-year guidance and Adjusted EBITDA margin expansion to 35%. Gross booking value grew 16% to $27.2 billion on sustained demand and higher average daily rates, with nights booked accelerating and app usage rising sharply. These results have supported positive analyst revisions, including price targets up to $217, though the consensus twelve-month target remains around $172–176. Traders are monitoring Q3 earnings due November 5, seasonal travel patterns, and any macroeconomic shifts in consumer spending or interest rates that could influence near-term share price levels through September.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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