38 datasets found
  1. T

    Netflix | NFLX - Stock Price | Live Quote | Historical Chart

    • cdn.tradingeconomics.com
    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 4, 2018
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    TRADING ECONOMICS (2018). Netflix | NFLX - Stock Price | Live Quote | Historical Chart [Dataset]. https://cdn.tradingeconomics.com/nflx:us
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    May 4, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Apr 28, 2025
    Area covered
    United States
    Description

    Netflix stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  2. T

    Netflix | NFLX - PE Price to Earnings

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Netflix | NFLX - PE Price to Earnings [Dataset]. https://tradingeconomics.com/nflx:us:pe
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Netflix reported 47.03 in PE Price to Earnings for its fiscal quarter ending in March of 2025. Data for Netflix | NFLX - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  3. Stock Market: Historical Data of Top 10 Companies

    • kaggle.com
    Updated Jul 18, 2023
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    Khushi Pitroda (2023). Stock Market: Historical Data of Top 10 Companies [Dataset]. https://www.kaggle.com/datasets/khushipitroda/stock-market-historical-data-of-top-10-companies
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 18, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Khushi Pitroda
    Description

    The dataset contains a total of 25,161 rows, each row representing the stock market data for a specific company on a given date. The information collected through web scraping from www.nasdaq.com includes the stock prices and trading volumes for the companies listed, such as Apple, Starbucks, Microsoft, Cisco Systems, Qualcomm, Meta, Amazon.com, Tesla, Advanced Micro Devices, and Netflix.

    Data Analysis Tasks:

    1) Exploratory Data Analysis (EDA): Analyze the distribution of stock prices and volumes for each company over time. Visualize trends, seasonality, and patterns in the stock market data using line charts, bar plots, and heatmaps.

    2)Correlation Analysis: Investigate the correlations between the closing prices of different companies to identify potential relationships. Calculate correlation coefficients and visualize correlation matrices.

    3)Top Performers Identification: Identify the top-performing companies based on their stock price growth and trading volumes over a specific time period.

    4)Market Sentiment Analysis: Perform sentiment analysis using Natural Language Processing (NLP) techniques on news headlines related to each company. Determine whether positive or negative news impacts the stock prices and volumes.

    5)Volatility Analysis: Calculate the volatility of each company's stock prices using metrics like Standard Deviation or Bollinger Bands. Analyze how volatile stocks are in comparison to others.

    Machine Learning Tasks:

    1)Stock Price Prediction: Use time-series forecasting models like ARIMA, SARIMA, or Prophet to predict future stock prices for a particular company. Evaluate the models' performance using metrics like Mean Squared Error (MSE) or Root Mean Squared Error (RMSE).

    2)Classification of Stock Movements: Create a binary classification model to predict whether a stock will rise or fall on the next trading day. Utilize features like historical price changes, volumes, and technical indicators for the predictions. Implement classifiers such as Logistic Regression, Random Forest, or Support Vector Machines (SVM).

    3)Clustering Analysis: Cluster companies based on their historical stock performance using unsupervised learning algorithms like K-means clustering. Explore if companies with similar stock price patterns belong to specific industry sectors.

    4)Anomaly Detection: Detect anomalies in stock prices or trading volumes that deviate significantly from the historical trends. Use techniques like Isolation Forest or One-Class SVM for anomaly detection.

    5)Reinforcement Learning for Portfolio Optimization: Formulate the stock market data as a reinforcement learning problem to optimize a portfolio's performance. Apply algorithms like Q-Learning or Deep Q-Networks (DQN) to learn the optimal trading strategy.

    The dataset provided on Kaggle, titled "Stock Market Stars: Historical Data of Top 10 Companies," is intended for learning purposes only. The data has been gathered from public sources, specifically from web scraping www.nasdaq.com, and is presented in good faith to facilitate educational and research endeavors related to stock market analysis and data science.

    It is essential to acknowledge that while we have taken reasonable measures to ensure the accuracy and reliability of the data, we do not guarantee its completeness or correctness. The information provided in this dataset may contain errors, inaccuracies, or omissions. Users are advised to use this dataset at their own risk and are responsible for verifying the data's integrity for their specific applications.

    This dataset is not intended for any commercial or legal use, and any reliance on the data for financial or investment decisions is not recommended. We disclaim any responsibility or liability for any damages, losses, or consequences arising from the use of this dataset.

    By accessing and utilizing this dataset on Kaggle, you agree to abide by these terms and conditions and understand that it is solely intended for educational and research purposes.

    Please note that the dataset's contents, including the stock market data and company names, are subject to copyright and other proprietary rights of the respective sources. Users are advised to adhere to all applicable laws and regulations related to data usage, intellectual property, and any other relevant legal obligations.

    In summary, this dataset is provided "as is" for learning purposes, without any warranties or guarantees, and users should exercise due diligence and judgment when using the data for any purpose.

  4. M

    Netflix Price/Book Ratio 2010-2025 | NFLX

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Netflix Price/Book Ratio 2010-2025 | NFLX [Dataset]. https://www.macrotrends.net/stocks/charts/NFLX/netflix/price-book
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Netflix current price/book ratio as of May 09, 2025 is 20.27. Netflix average price/book ratio for 2024 was 13.53, a 62.42% increase from 2023. Netflix average price/book ratio for 2023 was 8.33, a 33.28% increase from 2022. Netflix average price/book ratio for 2022 was 6.25, a 63.96% increase from 2021. Price/book ratio can be defined as

  5. T

    Netflix | NFLX - Operating Profit

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
    + more versions
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    TRADING ECONOMICS (2025). Netflix | NFLX - Operating Profit [Dataset]. https://tradingeconomics.com/nflx:us:operating-profit
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Netflix reported $3.35B in Operating Profit for its fiscal quarter ending in March of 2025. Data for Netflix | NFLX - Operating Profit including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  6. T

    Netflix | NFLX - Assets

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Netflix | NFLX - Assets [Dataset]. https://tradingeconomics.com/nflx:us:assets
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 10, 2025
    Area covered
    United States
    Description

    Netflix reported $52.09B in Assets for its fiscal quarter ending in March of 2025. Data for Netflix | NFLX - Assets including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  7. T

    Netflix | NFLX - Current Assets

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Netflix | NFLX - Current Assets [Dataset]. https://tradingeconomics.com/nflx:us:current-assets
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Netflix reported $11.7B in Current Assets for its fiscal quarter ending in March of 2025. Data for Netflix | NFLX - Current Assets including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  8. Quarterly Netflix subscribers count worldwide 2013-2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 3, 2025
    + more versions
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    Statista (2025). Quarterly Netflix subscribers count worldwide 2013-2024 [Dataset]. https://www.statista.com/statistics/250934/quarterly-number-of-netflix-streaming-subscribers-worldwide/
    Explore at:
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Netflix's global subscriber base has reached an impressive milestone, surpassing 300 million paid subscribers worldwide in the fourth quarter of 2024. This marks a significant increase of nearly 20 million subscribers compared to the previous quarter, solidifying Netflix's position as a dominant force in the streaming industry. Adapting to customer losses Netflix's growth has not always been consistent. During the first half of 2022, the streaming giant lost over one million customers. In response to these losses, Netflix introduced an ad-supported tier in November of that same year. This strategic move has paid off, with the lower-cost plan attracting 70 million monthly active users globally by November 2024, demonstrating Netflix's ability to adapt to changing market conditions and consumer preferences. Global expansion Netflix continues to focus on international markets, with a forecast suggesting that the Asia Pacific region is expected to see the most substantial growth in the upcoming years, potentially reaching around 70.1 million subscribers by 2029. To correspond to the needs of the non-American target group, the company has heavily invested in international content in recent years, with Korean, Spanish, and Japanese being the most watched non-English content languages on the platform.

  9. M

    Netflix Price to Free Cash Flow Ratio 2010-2025 | NFLX

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Netflix Price to Free Cash Flow Ratio 2010-2025 | NFLX [Dataset]. https://www.macrotrends.net/stocks/charts/NFLX/netflix/price-fcf
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Netflix current price to free cash flow ratio as of May 09, 2025 is 67.28. Netflix average price to free cash flow ratio for 2024 was 45.82, a 13.53% increase from 2023. Netflix average price to free cash flow ratio for 2023 was 40.36, a 76.91% increase from 2022. Netflix average price to free cash flow ratio for 2022 was 174.78, a 66.05% decline from 2021. Price to free cash flow ratio can be defined as

  10. T

    Netflix | NFLX - Trade Debtors

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Netflix | NFLX - Trade Debtors [Dataset]. https://tradingeconomics.com/nflx:us:trade-debtors
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Netflix reported $1.45B in Trade Debtors for its fiscal quarter ending in March of 2025. Data for Netflix | NFLX - Trade Debtors including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  11. Netflix's quarterly revenue 2013-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jan 22, 2025
    + more versions
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    Statista (2025). Netflix's quarterly revenue 2013-2024 [Dataset]. https://www.statista.com/statistics/273883/netflixs-quarterly-revenue/
    Explore at:
    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the fourth quarter of 2024, Netflix generated total revenue of over 10.2 billion U.S. dollars, up from about 8.8 billion dollars in the corresponding quarter of 2023. The company's annual revenue in 2024 amounted to around 39 billion U.S. dollars, continuing the impressive year-on-year growth Netflix has enjoyed over the last decade. Netflix’s global position Netflix’s revenue has been heavily impacted by its ever-growing global subscriber base. The leading Netflix market is Europe, Middle East, and Africa, surpassing the U.S. and Canada in terms of subscriber count. Netflix has also significantly increased its licensed and produced content assets since 2016. Despite concerns among investors that the company’s content spend was negatively affecting cash flow, Netflix’s plans to amortize its content assets long-term along with generating revenue from other sources such as licensing and merchandise should ensure the company’s future profitability. Netflix’s original content Netflix is also fortunate in that many of its original shows have been a hit with consumers across the globe. Shows such as “Orange is the New Black,” “Black Mirror,” and “House of Cards” won the hearts of subscribers long ago, but newer content such as English-language shows “Bridgerton,” “Wednesday,” and “Stranger Things,” as well as local TV shows such as “Squid Game” have also been favorably reviewed and proved popular among users.

  12. T

    Netflix | NFLX - Ebitda

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Netflix | NFLX - Ebitda [Dataset]. https://tradingeconomics.com/nflx:us:ebitda
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Netflix reported $7.25B in EBITDA for its fiscal quarter ending in March of 2025. Data for Netflix | NFLX - Ebitda including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  13. T

    Netflix | NFLX - Trade Creditors

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Netflix | NFLX - Trade Creditors [Dataset]. https://tradingeconomics.com/nflx:us:trade-creditors
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Netflix reported $4.74B in Trade Creditors for its fiscal quarter ending in March of 2025. Data for Netflix | NFLX - Trade Creditors including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  14. s

    Netflix Penetration Rate By Country

    • searchlogistics.com
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    Netflix Penetration Rate By Country [Dataset]. https://www.searchlogistics.com/learn/statistics/netflix-statistics/
    Explore at:
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These are the top 10 countries for Netflix in terms of penetration rate.

  15. T

    Netflix | NFLX - Outstanding Shares

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 15, 2023
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    TRADING ECONOMICS (2023). Netflix | NFLX - Outstanding Shares [Dataset]. https://tradingeconomics.com/nflx:us:outstanding-shares
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    May 15, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - May 29, 2025
    Area covered
    United States
    Description

    Netflix reported 444.54M in Outstanding Shares in May of 2023. Data for Netflix | NFLX - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last May in 2025.

  16. Market share of SVOD platforms in the U.S. 2024

    • statista.com
    Updated Mar 26, 2025
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    Statista (2025). Market share of SVOD platforms in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/496011/usa-svod-to-tv-streaming-usage/
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    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 1, 2024 - Dec 31, 2024
    Area covered
    United States
    Description

    In the fourth quarter of 2024, Amazon Prime Video was the most popular subscription video-on-demand (SVOD) service in the United States with a market share of 22 percent, based on the users' interest in adding content to their watch lists of certain streaming platforms. Netflix followed closely with a market share of 21 percent. Subscription streaming market – a money-losing business? While subscription streaming platforms increased their subscriber bases in the years 2020 and 2021 due to the measures taken during the COVID-19 pandemic, 2022 and 2023 saw services such as Netflix and Disney+ lose a substantial number of customers. Furthermore, the direct-to-consumer (DTC) businesses of large media companies are struggling to turn a profit. Paramount, for example, reported a loss of 1.7 billion U.S. dollars for its streaming services in 2023. Streaming companies take action In order to compensate for subscriber and income losses, streaming companies implemented several strategies, such as launching more profitable ad-supported tiers, cracking down on credential sharing, laying off thousands of employees, and spending less on content. The Walt Disney Company was already able to increase DTC profits recently. Its cost-cutting measures include layoffs and savings in content spending by reducing content produced and removing TV shows and movies from its streaming services.

  17. T

    Netflix | NFLX - Cost Of Sales

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Netflix | NFLX - Cost Of Sales [Dataset]. https://tradingeconomics.com/nflx:us:cost-of-sales
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Netflix reported $5.26B in Cost of Sales for its fiscal quarter ending in March of 2025. Data for Netflix | NFLX - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  18. T

    Netflix | NFLX - Market Capitalization

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). Netflix | NFLX - Market Capitalization [Dataset]. https://tradingeconomics.com/nflx:us:market-capitalization
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Netflix reported $549.02B in Market Capitalization this June of 2025, considering the latest stock price and the number of outstanding shares.Data for Netflix | NFLX - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  19. Video Streaming Services in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jun 15, 2024
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    IBISWorld (2024). Video Streaming Services in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/video-streaming-services-industry/
    Explore at:
    Dataset updated
    Jun 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United States
    Description

    Video and content streaming has undergone significant changes over the past five years, reshaping viewer experiences and provider strategies. With cord-cutters continuing to drive industry growth, revenue has grown at a CAGR of 13.8% to $102.5 billion, enjoying a 19.4% profit margin, despite the entrance of less profitable streamers. A key focus has been on original content. Giants like Netflix, Amazon Prime and Disney+ are investing billions in producing their series and films. This strategy aims to secure viewer loyalty, differentiate platforms and cater to various demographic segments and regional tastes. Original content helps mitigate the impact of content licensing disputes, which streamers also incorporate into their libraries, creating a delicate balance. Data analytics and personalized user experiences have emerged as crucial as competition rises. Many streamers have maximized their subscribers by catering to price-sensitive viewers, implementing tiered subscription plans to capture all demographics. Video streamers have also invested heavily in the live event space, a new trend that has emerged over the past five years. Starting with Amazon's 2022 deal to air a package of NFL games, other prominent video streamers, such as Netflix and Apple, have also entered the market, recognizing the infinite value that live events provide. Moving forward, viewing experiences will continue to evolve, as each video streamer aims to edge out competition within the highly competitive market. Companies currently benefiting from the backing of larger media companies will face increased pressure to discover sustainable operating models with new mergers becoming possible. Meanwhile, new developments, such as a ban on TikTok and the incorporation of AI solutions have the potential to alter market shares moving forward. With cord-cutting anticipated to decelerate, industry revenue will rise at a slower CAGR of 6.7% over the next five years, reaching $141.9 billion by 2030.

  20. T

    Netflix | NFLX - EPS Earnings Per Share

    • tradingeconomics.com
    • cdn.tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Netflix | NFLX - EPS Earnings Per Share [Dataset]. https://tradingeconomics.com/nflx:us:eps
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Netflix reported $6.61 in EPS Earnings Per Share for its fiscal quarter ending in March of 2025. Data for Netflix | NFLX - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last June in 2025.

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TRADING ECONOMICS (2018). Netflix | NFLX - Stock Price | Live Quote | Historical Chart [Dataset]. https://cdn.tradingeconomics.com/nflx:us

Netflix | NFLX - Stock Price | Live Quote | Historical Chart

Explore at:
csv, json, xml, excelAvailable download formats
Dataset updated
May 4, 2018
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 2000 - Apr 28, 2025
Area covered
United States
Description

Netflix stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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