Netflix shares traded in the mid-to-high $70s during the week of August 17, 2026, rebounding from post-Q2 lows near $65 as traders weighed decelerating top-line growth against robust profitability and capital returns. The company delivered Q2 revenue of $12.56 billion (up 13.4% year-over-year) and a 33.4% operating margin while raising full-year free-cash-flow guidance to $12.5 billion, with advertising revenue tracking toward a doubling to roughly $3 billion. A $4.7 billion quarterly buyback—part of an expanded $25 billion authorization—along with Pershing Square’s new multi-million-share position underscored management and institutional confidence at compressed valuations near 25 times forward earnings. Analyst consensus targets remain near $94 amid expectations for continued 12-14% revenue expansion and margin expansion to 31.5% for the year, though softer Q3 guidance and moderating subscriber momentum continue to cap near-term optimism.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · ОбновленоЧто поразит Netflix, Inc. (NFLX) на неделе 17 августа 2026 года?
$9,263 Объем
↑ $95
No
↑ $92.50
No
↑ $90
No
↑ $87.50
No
↑ $85
No
↑ $82.50
No
↑ $80
Yes
↓ $77.50
Yes
↓ $75
No
↓ $72.50
No
↓ $70
No
↓ $67.50
No
↓ $65
No
↓ $62.50
No
$9,263 Объем
↑ $95
No
↑ $92.50
No
↑ $90
No
↑ $87.50
No
↑ $85
No
↑ $82.50
No
↑ $80
Yes
↓ $77.50
Yes
↓ $75
No
↓ $72.50
No
↓ $70
No
↓ $67.50
No
↓ $65
No
↓ $62.50
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 Netflix, Inc. (NFLX) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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.
Открытие рынка: Aug 16, 2026, 6:43 PM ET
Источник определения исхода
https://pythdata.app/explore/Equity.US.NFLX%2FUSDКто определяет исход
0x65070BE91...Предложенный исход: No
Спор отсутствует
Окончательный исход: 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 Netflix, Inc. (NFLX) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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.
Источник определения исхода
https://pythdata.app/explore/Equity.US.NFLX%2FUSDКто определяет исход
0x65070BE91...Предложенный исход: No
Спор отсутствует
Окончательный исход: No
Netflix shares traded in the mid-to-high $70s during the week of August 17, 2026, rebounding from post-Q2 lows near $65 as traders weighed decelerating top-line growth against robust profitability and capital returns. The company delivered Q2 revenue of $12.56 billion (up 13.4% year-over-year) and a 33.4% operating margin while raising full-year free-cash-flow guidance to $12.5 billion, with advertising revenue tracking toward a doubling to roughly $3 billion. A $4.7 billion quarterly buyback—part of an expanded $25 billion authorization—along with Pershing Square’s new multi-million-share position underscored management and institutional confidence at compressed valuations near 25 times forward earnings. Analyst consensus targets remain near $94 amid expectations for continued 12-14% revenue expansion and margin expansion to 31.5% for the year, though softer Q3 guidance and moderating subscriber momentum continue to cap near-term optimism.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено

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