7 datasets found
  1. Quarterly Netflix subscribers count worldwide 2013-2024

    • statista.com
    Updated Jun 23, 2025
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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/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Netflix's global subscriber base has reached an impressive milestone, surpassing *** million paid subscribers worldwide in the fourth quarter of 2024. This marks a significant increase of nearly ** 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 *** 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 ** 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 **** 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.

  2. NETFLIX Stock Data 2025

    • kaggle.com
    Updated Jun 13, 2025
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    Umer Haddii (2025). NETFLIX Stock Data 2025 [Dataset]. https://www.kaggle.com/datasets/umerhaddii/netflix-stock-data-2025
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 13, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Umer Haddii
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Netflix, Inc. is an American media company engaged in paid streaming and the production of films and series.

    Market cap

    Market capitalization of Netflix (NFLX)
    
    Market cap: $517.08 Billion USD
    
    

    As of June 2025 Netflix has a market cap of $517.08 Billion USD. This makes Netflix the world's 19th most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

    Revenue

    Revenue for Netflix (NFLX)
    
    Revenue in 2025: $40.17 Billion USD
    

    According to Netflix's latest financial reports the company's current revenue (TTM ) is $40.17 Billion USD. In 2024 the company made a revenue of $39.00 Billion USD an increase over the revenue in the year 2023 that were of $33.72 Billion USD. The revenue is the total amount of income that a company generates by the sale of goods or services. Unlike with the earnings no expenses are subtracted.

    Earnings

    Earnings for Netflix (NFLX)
    
    Earnings in 2025 (TTM): $11.31 Billion USD
    
    

    According to Netflix's latest financial reports the company's current earnings are $40.17 Billion USD. In 2024 the company made an earning of $10.70 Billion USD, an increase over its 2023 earnings that were of $7.02 Billion USD. The earnings displayed on this page is the company's Pretax Income.

    End of Day market cap according to different sources

    On Jun 12th, 2025 the market cap of Netflix was reported to be:

    $517.08 Billion USD by Yahoo Finance

    $517.08 Billion USD by CompaniesMarketCap

    $517.21 Billion USD by Nasdaq

    Content

    Geography: USA

    Time period: May 2002- June 2025

    Unit of analysis: Netflix Stock Data 2025

    Variables

    VariableDescription
    datedate
    openThe price at market open.
    highThe highest price for that day.
    lowThe lowest price for that day.
    closeThe price at market close, adjusted for splits.
    adj_closeThe closing price after adjustments for all applicable splits and dividend distributions. Data is adjusted using appropriate split and dividend multipliers, adhering to Center for Research in Security Prices (CRSP) standards.
    volumeThe number of shares traded on that day.

    Acknowledgements

    This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

  3. M

    Streaming Services Statistics 2025 By Platform, Growth, Technology

    • scoop.market.us
    Updated Mar 14, 2025
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    Market.us Scoop (2025). Streaming Services Statistics 2025 By Platform, Growth, Technology [Dataset]. https://scoop.market.us/streaming-services-statistics/
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    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    Market.us Scoop
    License

    https://scoop.market.us/privacy-policyhttps://scoop.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Overview

    Streaming Services Statistics: Streaming services have transformed the entertainment landscape, revolutionizing how people consume content.

    The advent of high-speed internet and the proliferation of smart devices have fueled the growth of these platforms, offering a wide array of movies, TV shows, music, and more, at the viewers' convenience.

    This introduction provides an overview of key statistics that shed light on the impact, trends, and challenges within the streaming industry.

    https://scoop.market.us/wp-content/uploads/2023/08/Streaming-Services-Statistics.png" alt="Streaming Services Statistics" class="wp-image-37054">
  4. Netflix Movie Ratings

    • kaggle.com
    Updated Dec 9, 2024
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    Luis Heitor Ribeiro (2024). Netflix Movie Ratings [Dataset]. https://www.kaggle.com/datasets/luisheitorribeiro/netflix-movie-ratings/discussion?sort=undefined
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 9, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Luis Heitor Ribeiro
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This is a reduced dataset from a much larger Netflix's movie ratings database, for use in collaborative filtering, recommendation systems, and related applications.

    Any particular user has rated only a fraction of the movies, so the data matrix is only partially filled. The goal here is to fill all the remaining entries of the matrix, and then compare with the complete test matrix.

  5. Netflix Stock Price

    • kaggle.com
    Updated Jan 10, 2020
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    shukaljain (2020). Netflix Stock Price [Dataset]. https://www.kaggle.com/datasets/jainshukal/netflix-stock-price/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 10, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    shukaljain
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The art of forecasting stock prices has been a difficult task for many of the researchers and analysts. In fact, investors are highly interested in the research area of stock price prediction. For a good and successful investment, many investors are keen on knowing the future situation of the stock market. Good and effective prediction systems for the stock market help traders, investors, and analyst by providing supportive information like the future direction of the stock market. In this work, we present a recurrent neural network (RNN) and Long Short-Term Memory (LSTM) approach to predict stock market indices.

    Content

    Data from yahoo.com/finance Netflix historical price 12/16/2015 ~ 12/16/2019 daily price and volume. There are 7 columns; Date, open, high, low, close, volume, adj close (2001, 7) each of stock

    Acknowledgements

    I want to find relationship between volume and price.

    Inspiration

    Here is couple of things one could try out with this data:

    One day ahead prediction: Rolling Linear Regression, ARIMA, Neural Networks, LSTM
    Momentum/Mean-Reversion Strategies
    Security clustering, portfolio construction/hedging
    

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?

  6. Historical Data for FAANG Stocks

    • kaggle.com
    Updated Oct 14, 2020
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    BrianTheCoder (2020). Historical Data for FAANG Stocks [Dataset]. https://www.kaggle.com/brianthecoder/historical-data-for-faang-stocks/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 14, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    BrianTheCoder
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    According to Investopedia:

    FAANG is an acronym referring to the stocks of the five most popular and best-performing American technology companies: Facebook, Amazon, Apple, Netflix and Alphabet (formerly known as Google). In addition to being widely known among consumers, the five FAANG stocks are among the largest companies in the world, with a combined market capitalization of over $4.1 trillion as of January 2020. Some have raised concerns that the FAANG stocks may be in the midst of a bubble, whereas others argue that their growth is justified by the stellar financial and operational performance they have shown in recent years.

    Regardless of the myriad of accolades, comments, and even controversies surrounding the FAANG stocks, they are nevertheless a data science/mining treasure and the bellwether of the NASDAQ index, if not the entire US technology sector.

    This Kaggle dataset contains over 20 years of daily historical data for the five FAANG constituents, as retrieved from this free stock API. It is a public-domain dataset that gives the data science practitioners (a.k.a., you!) the full flexibility to derive second-order insights and investment heuristics from it.

    Content

    Over 20 years of daily historical data (2000-01-01 to 2020-10-01) for the five FAANG stocks: Facebook, Amazon, Apple, Netflix, and Alphabet/Google. For completeness, both raw and adjusted prices are included, along with historical split events and dividend payouts (check out here for how stock market API providers perform price adjustments).

    Acknowledgements

    Data source: https://www.alphavantage.co/

  7. NFLX csv file

    • kaggle.com
    Updated Jun 15, 2022
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    Rafael Tiedra (2022). NFLX csv file [Dataset]. https://www.kaggle.com/datasets/rafaeltiedra/nflx-csv-file/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 15, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Rafael Tiedra
    Description

    CSV file of Netflix, Inc. (NFLX) stock prices from Jan 04, 2010 to May 23, 2022 retrieved from finance.yahoo.com.

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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/
Organization logo

Quarterly Netflix subscribers count worldwide 2013-2024

Explore at:
209 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Netflix's global subscriber base has reached an impressive milestone, surpassing *** million paid subscribers worldwide in the fourth quarter of 2024. This marks a significant increase of nearly ** 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 *** 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 ** 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 **** 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.

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