The price of Apple shares traded on the Nasdaq stock exchange increased overall during the period from January 2010 to February 2025, when it peaked at ****** U.S. dollars.

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

The Apple share market data of 10 years can be used for educational purposes in a variety of ways, such as:

To learn about the stock market and how it works. By studying the historical price movements of Apple stock, you can learn about the different factors that can affect the stock market, such as economic conditions, interest rates, and company earnings. To develop investment strategies. By analyzing the Apple share market data, you can identify patterns and trends that can help you make better investment decisions. For example, you might notice that Apple stock tends to perform well in certain economic conditions or when the company releases new products. To learn about Apple's business. By tracking the company's stock price, you can get a sense of how investors are viewing Apple's financial performance and future prospects. This information can be helpful for making decisions about whether or not to invest in Apple stock. To conduct research on financial topics. The Apple share market data can be used to support research on a variety of financial topics, such as the impact of inflation on stock prices, the relationship between stock prices and interest rates, and the performance of different investment strategies. In addition to these educational purposes, the Apple share market data can also be used for other purposes, such as:

To create trading algorithms. Trading algorithms are computer programs that automatically buy and sell stocks based on certain criteria. The Apple share market data can be used to train trading algorithms to identify profitable trading opportunities. To develop risk management strategies. Risk management strategies are used to protect investors from losses. The Apple share market data can be used to identify risks associated with investing in Apple stock and to develop strategies to mitigate those risks. To make corporate decisions. The Apple share market data can be used by companies to make decisions about their business, such as how much to invest in research and development, how to allocate capital, and when to issue new shares. Overall, the Apple share market data is a valuable resource that can be used for a variety of educational and practical purposes. If you are interested in learning more about the stock market or investing, I encourage you to explore the Apple share market data.

Explore Apple Stock Data 2025 with comprehensive historical trends from 1980 to 2025. Analyze market cap insights, financial performance.

Analysis of ‘Apple (AAPL) Historical Stock Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/tarunpaparaju/apple-aapl-historical-stock-data on 28 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains Apple's (AAPL) stock data for the last 10 years (from 2010 to date). I believe insights from this data can be used to build useful price forecasting algorithms to aid investment. I would like to thank Nasdaq for providing access to this rich dataset. I will make sure I update this dataset every few months.

--- Original source retains full ownership of the source dataset ---

Apple reported $6.27B in Stock for its fiscal quarter ending in March of 2025. Data for Apple | AAPL - Stock including historical, tables and charts were last updated by Trading Economics this last July in 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Where Will AAPL Stock Be in 3 Month?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Dataset

This dataset was created by zdataset.com

Contents

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Apple Inc. (NASDAQ: AAPL)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Apple Stock Data 2025

This is a dataset copied from Kaggle. You can see the original dataset here: https://www.kaggle.com/datasets/umerhaddii/apple-stock-data-2025

The following is the original readme of this dataset:

  About Dataset





  Context

Apple Inc. is an American hardware and software developer and technology company that develops and sells computers, smartphones and consumer electronics as well as operating systems and application software. Apple also… See the full description on the dataset page: https://huggingface.co/datasets/tablegpt/AppleStockData2025.

In the first quarter of its 2025 fiscal year, Apple’s earnings per common share (diluted) stood at *** U.S. dollars. The figure has fluctuated over the years, hitting a low of **** dollars in the second quarter of FY2005 and a high of ***** dollars in the first quarter of FY2012. Apple Inc. As the first public company worldwide to have hit the ************ U.S. dollar market capitalization landmark, Apple has offered generous returns to its stakeholders. Growing from the humble beginning in a garage in California, it is now the world’s most valuable brand and brings in hundreds of billions of dollars in revenue each year. The company revolutionizes the tech industry time and time again with its various consumer electronics devices, such as the Mac computer, iPod and iPhone, and its application products, such as the iTunes. More recently, Apple has increased the scope of its offerings even further to provide consumers with cloud storage and a mobile payment platform.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Apple Stock: Ready to Soar in the Next 3 Months?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Apple’s iPhone sales accounted for around ** percent of the company’s overall revenue in the first quarter of fiscal year 2025, the largest share of all Apple products. Over the years, services as well as wearables, home and accessories have made a growing contribution to Apple’s net sales. Apple’s revenue growth amid the pandemic In the first quarter of financial year 2025, Apple’s global revenue reached around *** billion U.S. dollars. The Americas are Apple’s largest regional market and contributed to around ** percent of the firm’s sales in that quarter. Who are Apple’s competitors? Having a broad family of products, Apple competes with different companies in different markets. Samsung is Apple’s largest adversaries in the global smartphone market, where the company had a share of almost ** percent in the second quarter of 2024. Similarly, Apple has a solid position in the PC market without a leading advantage. The situation is reversed in the tablet market and the smartwatch market, where Apple has remained the leader since the early days, staying ahead of Samsung, Huawei, Amazon, etc.

Apple revenue for the twelve months ending March 31, 2025 was $400.366B, a 4.91% increase year-over-year. Apple annual revenue for 2024 was $391.035B, a 2.02% increase from 2023. Apple annual revenue for 2023 was $383.285B, a 2.8% decline from 2022. Apple annual revenue for 2022 was $394.328B, a 7.79% increase from 2021.

Browse Apple Inc (AAPL) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

Nasdaq TotalView-ITCH is the proprietary data feed that provides full order book depth for Nasdaq market participants.

Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.

Supported data encodings: DBN, CSV, JSON Learn more

Supported market data schemas: MBO, MBP-1, MBP-10, BBO-1s, BBO-1m, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status, Imbalance Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

Dataset

This dataset was created by Mehmet TIRPAN

Contents

Dataset Description

Overview:

This dataset contains the historical stock prices and related financial information for five major technology companies: Apple (AAPL), Microsoft (MSFT), Amazon (AMZN), Google (GOOGL), and Tesla (TSLA). The dataset spans a five-year period from January 1, 2019, to January 1, 2024. It includes key stock metrics such as Open, High, Low, Close, Adjusted Close, and Volume for each trading day.

Data Collection:

The data was sourced using the yfinance library in Python, which provides convenient access to historical market data from Yahoo Finance.

Contents:

The dataset contains the following columns:

Date: The trading date. Open: The opening price of the stock on that date. High: The highest price of the stock on that date. Low: The lowest price of the stock on that date. Close: The closing price of the stock on that date. Adj Close: The adjusted closing price, accounting for dividends and splits. Volume: The number of shares traded on that date. Ticker: The stock ticker symbol representing each company.

Apple reported $3.17T in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Apple | AAPL - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Apple reported 15.12B in Outstanding Shares in January of 2025. Data for Apple | AAPL - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Apple reported $50.49B in Cost of Sales for its fiscal quarter ending in March of 2025. Data for Apple | AAPL - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last July in 2025.