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

Meta reported $35.87B in Cash and Equivalent for its fiscal quarter ending in December of 2025.Data for Meta | FB - Cash And Equivalent including historical, tables and charts were last updated by Trading Economics this last April in 2026.

🏆 Magnificent 7 — Complete Stock Data (AAPL, MSFT, GOOGL, AMZN, NVDA, META, TSLA)

Overview

The Magnificent 7 are the seven mega-cap technology stocks that dominate the U.S. stock market: Apple, Microsoft, Alphabet (Google), Amazon, NVIDIA, Meta (Facebook), and Tesla. Together they represent over $15 trillion in market capitalization and account for roughly 30% of the S&P 500's total weight.

This dataset provides complete daily OHLCV (Open, High, Low, Close, Volume) data for all seven stocks, spanning up to 33 years of trading history (1993–2026). Data is sourced from Yahoo Finance via the yfinance API.

📊 Dataset Summary

Metric	Value
Total Rows	43,572
Stocks	7 (Magnificent 7)
Columns	9 (Ticker, Company, Date, Open, High, Low, Close, Adj_Close, Volume)
Date Range	1993-01-04 to 2026-02-27
Missing Values	0
File Format	CSV

📋 Column Descriptions

Column	Type	Description
Ticker	string	Stock ticker symbol (AAPL, MSFT, GOOGL, AMZN, NVDA, META, TSLA)
Company	string	Full company name
Date	date	Trading date (YYYY-MM-DD format)
Open	float	Opening price for the trading day (USD)
High	float	Highest price reached during the trading day (USD)
Low	float	Lowest price reached during the trading day (USD)
Close	float	Closing price for the trading day (USD)
Adj_Close	float	Adjusted closing price, accounting for splits and dividends (USD)
Volume	integer	Number of shares traded during the day

📅 Data Availability by Stock

Not all stocks have 30+ years of history. Data begins from each company's IPO date:

Stock	IPO / Data Start	Years of Data	Trading Days
AAPL (Apple)	1993-01-04	33	8,346
MSFT (Microsoft)	1993-01-04	33	8,346
AMZN (Amazon)	1997-05-15	28	7,242
NVDA (NVIDIA)	1999-01-22	27	6,817
GOOGL (Alphabet)	2004-08-19	21	5,416
TSLA (Tesla)	2010-06-29	15	3,941
META (Meta)	2012-05-18	13	3,464

💡 Use Cases & Project Ideas

• Stock price prediction — Forecast next-day or next-week closing prices using LSTM, XGBoost, or transformer models
• Portfolio optimization — Build mean-variance or risk-parity portfolios across the Mag 7
• Correlation & co-movement analysis — Study how these stocks move together during bull vs. bear markets
• Volatility modeling — GARCH models, realized volatility, volatility clustering
• Sector rotation — Compare hardware (AAPL, NVDA) vs. software (MSFT, GOOGL) vs. consumer (AMZN, META, TSLA)
• Event studies — Measure impact of earnings, product launches, or macro events on returns
• Technical indicator engineering — RSI, MACD, Bollinger Bands, moving averages
• Market regime detection — Identify bull/bear/sideways regimes using hidden Markov models
• Pair trading — Find cointegrated pairs among the Mag 7 for statistical arbitrage strategies
• Beginner EDA practice — Great first dataset for learning pandas, matplotlib, and data visualization

📊 Key Statistics (as of Feb 2026)

Stock	All-Time Low	All-Time High	Latest Close
AAPL	$0.10	$285.92	$264.18
MSFT	$1.35	$539.83	$392.74
GOOGL	$2.48	$343.69	$311.76
AMZN	$0.07	$254.00	$210.00
NVDA	$0.03	$207.03	$177.19
META	$17.61	$788.82	$648.18
TSLA	$1.05	$489.88	$402.51

Note: Historical prices for AAPL, AMZN, GOOGL, NVDA, and TSLA reflect stock splits.

🔗 More from me

• 📊 S&P 500 OHLCV Stock Data — 472 Stocks, 2.7M+ Rows + EDA
• 📈 NASDAQ-100 Daily Stock Data (2000–2026) + EDA
• 🌍 Global Stock Market Indices — 10 Countries, 4.6M Rows + EDA
• 🏆 Stock Market Signal: Predict Next-Day Returns (Competition)

📝 Data Source & License

• Source: Yahoo Finance via yfinance Python library
• License: CC BY 4.0 (Creative Commons Attribution 4.0 International)
• Update Frequency: This is a static snapshot. For real-time data, use the yfinance API directly.

If this dataset helped you, please upvote! 👆 It helps others find it too.

As of January 13, 2026, Nvidia was the leading tech company by market capitalization globally at 4.48 trillion U.S. dollars. Nvidia became the first company to ever achieve the five-trillion milestone, having hit this figure for the first time in October 2025. Alphabet, the parent company of Google, ranked second at 4.05 trillion U.S. dollars, followed by Apple, Microsoft, and Amazon. Nvidia's immense growth With a focus that began with origins in gaming, Nvidia's business strategy has been transformed by demand from data centers that sit at the heart of the AI boom. The company's chips have been favored to support the training and running of a range of large language models, most notably in the development of OpenAI's ChatGPT. Apple is also among the leaders Since its foundation in a Californian garage in 1976, Apple has expanded massively, becoming one of the most valuable companies in the world. The company started its origins in the PC industry with the Macintosh but soon entered other segments of the consumer electronics market. Today, the iPhone is the most popular Apple product, although Mac, iPad, wearables, and services also contribute to its high revenues. Aiming at innovation, Apple invests every year in research and development, spanning a wide array of technologies from AI through to extended reality.