Analyzing streaming service prices allows consumers to make informed decisions based on their budget, ensuring they get the best value for their entertainment preferences. This dataset contains price history since 2011 for major streaming services: Netflix, Amazon Prime Video, Hulu, Disney+, HBO Max, Apple TV+, Peacock, Paramount+, Shudder, Crunchyroll.

All prices are for ad-free, lowest-cost monthly subscriptions.

For use case and analysis reference, please take a look at the Streaming Service Prices Study notebook.

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To standardize, all prices follow the below condition. - U.S. price. - Lowest cost. - No ads. - No bundle.

📈 Netflix (NFLX) Historical Stock Data (2002–2025)

This dataset contains daily historical stock data for Netflix Inc. (NFLX) from May 23, 2002 to April 6, 2025. The data includes essential market indicators that are commonly used in financial analysis, algorithmic trading, and machine learning models.

🧾 Dataset Summary

• Ticker: NFLX
• Company: Netflix, Inc.
• Exchange: NASDAQ
• Date Range: May 23, 2002 — April 6, 2025
• Frequency: Daily

📊 Features

🛠️ Potential Use Cases

• Stock price visualization
• Time series forecasting (e.g., ARIMA, LSTM)
• Technical analysis
• Volatility modeling
• Investment strategy backtesting
• Machine learning model training

📌 Notes

• This dataset does not include dividend payouts or earnings reports.
• Adjusted Close is useful for long-term analysis as it reflects stock splits and dividends.

📚 Source

Data was collected from a reliable financial data provider and formatted for easy use in data science projects.

Feel free to use this dataset for educational, research, or investment simulation purposes.

Contact info:

You can contact me for more data sets if you want any type of data to scrape.

-E_mail

-Linkdin

-Kaggle

-X

-Github

Netflix reported $50.07 in PE Price to Earnings for its fiscal quarter ending in September of 2025. Data for Netflix | NFLX - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Netflix, Inc. is an American subscription streaming service and production company founded in 1997 by Reed Hastings and Marc Randolph in Scotts Valley, California. Initially, Netflix started as a DVD rental service, pioneering the model of online rentals with no late fees. In 2007, the company transitioned into streaming media, revolutionizing the entertainment industry by offering a vast library of movies and TV shows accessible on-demand. Netflix further expanded its influence by producing original content, beginning with the series "**House of Cards**" in 2013. Today, Netflix is a global powerhouse in entertainment, with over 200 million subscribers worldwide and a diverse portfolio of acclaimed original series, films, and documentaries.

This dataset provides a comprehensive record of Netflix's stock price changes over time. It includes essential columns such as the date, opening price, highest price of the day, lowest price of the day, closing price, adjusted closing price, and trading volume.

This data is invaluable for conducting historical analyses, forecasting future stock performance, and understanding market trends related to Netflix's stock.

Netflix reported $6.16B in Cost of Sales for its fiscal quarter ending in September of 2025. Data for Netflix | NFLX - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last December in 2025.

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

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Description

This Dataset contains the Details of Historical Daily Netflix Stock Price in USD in Nasdaq from 23-05-2002 to 25-02-2025.

Netflix, Inc. is an American media company founded in 1997 by Reed Hastings and Marc Randolph in Scotts Valley, California, and currently based in Los Gatos, California, with production offices and stages at the Los Angeles-based Hollywood studios (formerly Warner Brothers studios) and the Albuquerque Studios (formerly ABQ studios). It owns and operates an eponymous over-the-top subscription video on-demand service, which showcases acquired and original programming as well as third-party content licensed from other production companies and distributors. Netflix is also the first streaming media company to be a member of the Motion Picture Association.

Netflix's primary business is a streaming video on demand service now available in almost every country worldwide except China. Netflix delivers original and third-party digital video content to PCs, internet-connected TVs, and consumer electronic devices, including tablets, video game consoles, Apple TV, Roku, and Chromecast. In 2011, Netflix introduced DVD-only plans and separated the combined streaming and DVD plans, making it necessary for subscribers who want both to have separate plans.

Attribute Information

• Date: Date of trading
• Open: Open Price of the stock.
• High: High Price of the stock.
• Low: Low Price of the stock.
• Close: Close Price of the stock.
• Adj Close: Adjust Closing of the Stock
• Volume: Traded Volume of the Stock

Acknowledgements

https://finance.yahoo.com/

Photo by Thibault Penin on Unsplash

Photo by charlesdeluvio on Unsplash

Netflix reported $11.51B in Sales Revenues for its fiscal quarter ending in September of 2025. Data for Netflix | NFLX - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Netflix reported $4.9B in Trade Creditors for its fiscal quarter ending in September of 2025. Data for Netflix | NFLX - Trade Creditors including historical, tables and charts were last updated by Trading Economics this last December in 2025.

This dataset offers a comprehensive historical record of Netflix’s stock price movements, capturing the company’s financial journey from its early days to its position as a global streaming giant.

From its IPO in May 2002, Netflix (Ticker: NFLX) has transformed from a DVD rental service to a powerhouse in on-demand digital content. With its disruptive innovation, strategic shifts, and global expansion, Netflix has seen dramatic shifts in stock prices, reflecting not just market trends but also cultural impact. This dataset provides a window into that evolution.

What’s Included?

Each row in this dataset represents daily trading activity on the stock market and includes the following columns:

• Date – The trading day (from 2002 onward)
• Open – Stock price when the market opened
• High – Highest trading price of the day
• Low – Lowest trading price of the day
• Close – Final price at market close
• Adj Close – Closing price adjusted for splits and dividends
• Volume – Number of shares traded that day

The data is structured in CSV format and is clean, easy to use, and ready for immediate analysis.

Why Use This Dataset?

Whether you're learning data science, building a financial model, or exploring machine learning in the real world, this dataset is a goldmine of insights. Netflix's market history includes:

• Periods of explosive growth during digital transformation
• Volatility during market crashes and global events (e.g., 2008, COVID-19)
• Strategic pivots such as the shift to original content
• Market reactions to earnings, acquisitions, and subscriber milestones

This makes the dataset ideal for:

• Time-series forecasting (ARIMA, Prophet, LSTM)
• Technical and trend analysis (moving averages, RSI, Bollinger Bands)
• Predictive modeling with machine learning
• Investment simulation projects
• Stock market visualization and storytelling
• Financial dashboards (Tableau, Power BI, Streamlit, etc.)

Who Can Use It?

This dataset is designed for:

• Aspiring data scientists practicing EDA and modeling
• Financial analysts and traders exploring trends
• AI researchers working on time-series models
• Students building ML projects
• Developers creating stock visualization tools
• Kaggle competitors seeking real-world datasets

Data Source & Credits

The dataset is derived from publicly available historical stock price data, such as Yahoo Finance, and has been cleaned and organized for educational and research purposes. It is continuously maintained to ensure accuracy.

Start Exploring

Netflix’s rise is more than just a business story — it’s a data-driven journey. With this dataset, you can analyze the company’s stock behavior, train models to predict future trends, or simply visualize how tech reshapes the market.

Welcome to the Netflix Stock Prices and Performance Data dataset! This dataset is your go-to resource for analyzing the financial performance of Netflix, Inc. over time. Whether you’re a seasoned data scientist, a finance enthusiast, or a beginner looking to practice your time series analysis skills, this dataset provides all the key metrics you need.

Date: The trading day (YYYY-MM-DD format) Open: Opening price of the stock on that day High: Highest price reached during the trading day Low: Lowest price reached during the trading day Close: Closing price of the stock on that day Volume: Number of shares traded Potential Uses:

Trend Analysis: Examine how Netflix’s stock price has evolved over time and identify significant trends or events that impacted its performance.

Technical Analysis: Apply various technical indicators to forecast future stock movements.

Investment Strategy Development: Create and backtest trading strategies based on historical data.

Correlation Studies: Compare Netflix’s stock performance with other stocks or indices to uncover correlations.

Market Sentiment Analysis: Integrate with news or social media sentiment data to see how external factors influence stock prices.

Netflix reported $39.63M in Interest Income for its fiscal quarter ending in June of 2025. Data for Netflix | NFLX - Interest Income including historical, tables and charts were last updated by Trading Economics this last December in 2025.

This dataset offers an in-depth analysis of Netflix's stock performance over the last decade, incorporating numerous technical indicators to examine its price fluctuations. It includes the recording date and several vital statistics: the opening, highest, lowest, and closing prices for each trading day, along with the trading volume. It also contains momentum indicators like the 7-day and 14-day Relative Strength Index (RSI) to determine if the stock is overbought or oversold. The Commodity Channel Index (CCI) for 7 and 14 days is also included, helping identify short- and medium-term market trends by comparing the current price to the historical average. The dataset integrates the 50-day and 100-day Simple Moving Average (SMA) and Exponential Moving Average (EMA), which shed light on the stock's trend direction. Additional important indicators are the Moving Average Convergence Divergence (MACD), Bollinger Bands for assessing price volatility, the True Range, and the 7-day and 14-day Average True Range (ATR), which provide a gauge of market volatility. This dataset is designed to forecast the closing price for the following day, making it a crucial tool for predicting future movements of Netflix's stock.

Please find descriptions for the columns.

• Open: The price at which a stock first trades upon the opening of an exchange on a trading day.

• High: The highest price at which a stock traded during the trading day.

• Low: The lowest price at which a stock traded during the trading day.

• Close: The final price at which a stock trades during a trading day.

• Volume: The total number of shares of a stock traded during a trading day.

• RSI_7 / RSI_14: The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. RSI_7 and RSI_14 indicate the RSI calculated over 7 days and 14 days, respectively. https://www.investopedia.com/terms/r/rsi.asp

• CCI_7 / CCI_14: The Commodity Channel Index (CCI) is a versatile indicator that can be used to identify a new trend or warn of extreme conditions. CCI_7 and CCI_14 are calculated over 7 days and 14 days, respectively. https://www.investopedia.com/terms/c/commoditychannelindex.asp

• SMA_50 / SMA_100: The Simple Moving Average (SMA) is calculated by averaging the price of a stock over a specific number of days. SMA_50 and SMA_100 are the averages over 50 days and 100 days, respectively. https://www.investopedia.com/terms/s/sma.asp

• EMA_50 / EMA_100: The Exponential Moving Average (EMA) gives more weight to more recent prices and thus reacts more quickly to price changes than the SMA. EMA_50 and EMA_100 are calculated over 50 days and 100 days, respectively. https://www.investopedia.com/terms/e/ema.asp

• MACD: The Moving Average Convergence Divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a stock’s price. https://www.investopedia.com/terms/m/macd.asp

• Bollinger Bands (Bollinger): A set of lines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a stock's price. https://www.investopedia.com/terms/b/bollingerbands.asp

• True Range: The greatest of the following: current high minus the current low, the absolute value of the current high minus the previous close, or the absolute value of the current low minus the previous close.

• ATR_7 / ATR_14: The Average True Range (ATR) is a measure of volatility that shows how much a stock moves, on average, over a given period. ATR_7 and ATR_14 are calculated over 7 days and 14 days, respectively. https://www.investopedia.com/terms/a/atr.asp

• Next Day Close: Future price. Closing price of a stock for the following trading day. Can be used as target variable for regression predictions.

Netflix reported $458.27B in Market Capitalization this December 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 December in 2025.

Kaggle Dataset Description

Netflix (NFLX) Stock Price Data (2002-2025)Overview:

This dataset provides historical stock price data for Netflix Inc. (NASDAQ: NFLX) from May 23, 2002, to January 31, 2025. The data has been sourced from Yahoo Finance and includes essential financial metrics, making it valuable for financial analysis, stock price prediction, and time-series forecasting.

Dataset Features:

Date: The trading date (YYYY-MM-DD format).

Open: Opening price of Netflix stock on that trading day.

High: Highest price recorded during the trading session.

Low: Lowest price recorded during the trading session.

Close: Closing price of the stock at the end of the trading session.

Adj Close: Adjusted closing price, accounting for corporate actions such as stock splits and dividends.

Volume: The total number of Netflix shares traded on the respective day.

Usage & Applications:

Stock Price Analysis – Evaluate historical trends and identify key patterns.

Time-Series Forecasting – Train predictive models for stock market behavior.

Volatility & Risk Assessment – Analyze price fluctuations over time.

Trading Strategy Development – Backtest investment strategies.

Data Source: Extracted using Yahoo Finance API.

License & Citation:

This dataset is publicly available and should be credited to Yahoo Finance API and Muhammad Atif Latif when used in research or projects.

More Stocks Datasets

If you want to check out my more stocks related Datasets then CLICK HERE

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.

Netflix reported $1.58B in Trade Debtors for its fiscal quarter ending in June of 2025. Data for Netflix | NFLX - Trade Debtors including historical, tables and charts were last updated by Trading Economics this last December in 2025.

MetaData

Netflix Stock Price Data (2010-2024)

Dataset Description

This dataset contains historical stock price data for Netflix from 2010 to 2024. This data is extracted by using Python's yfinance library and it provides detailed insights into Netflix's stock performance over the years. It includes daily values for the stock's opening and closing prices, adjusted close price, high and low prices, and trading volume. This dataset is ideal for time series analysis, stock trend analysis, and financial machine learning projects such as price prediction models and volatility analysis.

The dataset is extracted from Yahoo Finance

Column Descriptions

Date: The trading date for each entry, in the format.

Adj_Close: Adjusted closing price of Netflix stock for each trading day, reflecting stock splits, dividends, and other adjustments.

Close: The raw closing price of Netflix stock at the end of each trading day.

High: The highest price reached by Netflix stock during the trading day.

Low: The lowest price reached by Netflix stock during the trading day.

Open: The price of Netflix stock at the start of the trading day.

Volume: The total number of shares traded during the trading day.

Netflix reported $3.42B in EBITDA for its fiscal quarter ending in September of 2025. Data for Netflix | NFLX - Ebitda including historical, tables and charts were last updated by Trading Economics this last December in 2025.

About this Dataset

This dataset offers a comprehensive, up-to-date look at the historical stock performance of Netflix Inc. (NFLX), the world's leading streaming entertainment service.

About the Company

Netflix, Inc. is an American entertainment company founded in 1997. It began as a DVD-by-mail service before revolutionizing the industry with its streaming platform in 2007. Headquartered in Los Gatos, California, Netflix is a major player in content creation, production, and distribution, with a massive library of films, television series, and documentaries. As a key technology and media company, Netflix's stock performance is a significant indicator of trends in the entertainment industry and digital consumer behavior.

Key Features

Daily OHLCV Data: The dataset contains essential Open, High, Low, Close, and Volume metrics for each trading day.

Comprehensive History: Includes data from Netflix's early trading history to the present, offering a long-term perspective.

Regular Updates: The dataset is designed for regular, automated updates to ensure data freshness for time-sensitive projects.

Data Dictionary

Date: The date of the trading session in YYYY-MM-DD format.

ticker: The standard ticker symbol for Netflix Inc. on the NASDAQ exchange: 'NFLX'.

name: The full name of the company: 'Netflix Inc.'.

Open: The stock price in USD at the start of the trading session.

High: The highest price reached during the trading day in USD.

Low: The lowest price recorded during the trading day in USD.

Close: The final stock price at market close in USD.

Volume: The total number of shares traded on that day.

Data Collection

The data for this dataset is collected using the yfinance Python library, which pulls information directly from the Yahoo Finance API.

Potential Use Cases

Financial Analysis: Analyze historical price trends, volatility, and trading volume of Netflix stock.

Machine Learning: Develop and test models for stock price prediction and time series forecasting.

Educational Projects: A perfect real-world dataset for students and data enthusiasts to practice data cleaning, visualization, and modeling.