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

Block reported $166.63M in Stock for its fiscal quarter ending in September of 2025. Data for Block | SQ - Stock including historical, tables and charts were last updated by Trading Economics this last November in 2025.

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.

As retail investing continues to reshape global markets, understanding who participates, how they invest, and what influences their decisions has never been more crucial. Stock ownership in the U.S. is reaching levels not seen since before the 2008 crisis, with younger generations, mobile platforms, and new asset classes like ETFs...

Block reported $40.44B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for Block | SQ - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.

The average square foot value of apartments in the United States increased dramatically in recent years, peaking at about *** U.S. dollars per square foot in 2021. This was more than double the average value just a decade ago.

Block reported $17.29 in PE Price to Earnings for its fiscal quarter ending in March of 2025. Data for Block | SQ - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Common-Stock Time Series for American Assets Trust Inc. American Assets Trust, Inc. is a full service, vertically integrated and self-administered real estate investment trust (REIT), headquartered in San Diego, California. The company has over 55 years of experience in acquiring, improving, developing and managing premier office, retail, and residential properties throughout the United States in some of the nation's most dynamic, high-barrier-to-entry markets primarily in Southern California, Northern California, Washington, Oregon, Texas and Hawaii. The company's office portfolio comprises approximately 4.3 million rentable square feet, and its retail portfolio comprises approximately 2.4 million rentable square feet. In addition, the company owns one mixed-use property (including approximately 94,000 rentable square feet of retail space and a 369-room all-suite hotel) and 2,302 multifamily units. In 2011, the company was formed to succeed to the real estate business of American Assets, Inc., a privately held corporation founded in 1967 and, as such, has significant experience, long-standing relationships and extensive knowledge of its core markets, submarkets and asset classes.

Greater Los Angeles was the U.S. market with the most industrial and logistics real estate stock in the first quarter of 2025, followed by Chicago and Dallas-Fort Worth. The three markets alone concentrated about *** billion square feet of the over ** billion square feet of industrial and logistics real estate stock in the top 50 markets. Besides being the largest market, Los Angeles was also the most expensive market for warehouse leasing.

Block reported $0.71 in EPS Earnings Per Share for its fiscal quarter ending in December of 2024. Data for Block | SQ - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Block reported -5.7M in Dividend Yield for its fiscal quarter ending in June of 2020. Data for Block | SQ - Dividend Yield including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Block reported $39.18B in Assets for its fiscal quarter ending in September of 2025. Data for Block | SQ - Assets including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Block reported 615.69M in Outstanding Shares in April of 2024. Data for Block | SQ - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last November in 2025.

Preferred-Stock-and-Other-Adjustments Time Series for Madison Square Garden Sports Corp. Madison Square Garden Sports Corp. operates as a professional sports company in the United States. The company owns and operates a portfolio of assets that consists of the New York Knickerbockers of the National Basketball Association (NBA) and the New York Rangers of the National Hockey League. Its other professional franchises include development league teams, the Hartford Wolf Pack of the American Hockey League and the Westchester Knicks of the NBA G League. It also operates the Madison Square Garden Training Center, a professional sports team performance center in Greenburgh. The company was formerly known as The Madison Square Garden Company. Madison Square Garden Sports Corp. was incorporated in 2015 and is based in New York, New York.

Residential buildings are a key driver of energy consumption and also impact transportation and land-use. Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO2 emissions, with floor space a major driver of building energy demands. In this work a consistent, vintage-disaggregated, annual long-term series of U.S. housing stock and residential floor space for 1891–2010 is presented. An attempt was made to minimize the effects of the incompleteness and inconsistencies present in the national housing survey data. Over the 1891–2010 period, floor space increased almost tenfold, from approximately 24,700 to 235,150 million square feet, corresponding to a doubling of floor space per capita from approximately 400 to 800 square feet. While population increased five times over the period, a 50% decrease in household size contributed towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. GDP and total floor space show a remarkably constant growth trend over the period and total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years, decoupling only within the last decade.

Block reported 12.98K in Employees for its fiscal year ending in December of 2023. Data for Block | SQ - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Block reported $257.63M in EBIT for its fiscal quarter ending in December of 2024. Data for Block | SQ - Ebit including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Common-Stock Time Series for Public Storage. Public Storage, a member of the S&P 500, is a REIT that primarily acquires, develops, owns, and operates self-storage facilities. At September 30, 2025, we: (i) owned and/or operated 3,491 self-storage facilities located in 40 states with approximately 254 million net rentable square feet in the United States and (ii) owned a 35% common equity interest in Shurgard Self Storage Limited (Euronext Brussels: SHUR), which owned 323 self-storage facilities located in seven Western European nations with approximately 18 million net rentable square feet operated under the Shurgard brand. Our headquarters are in Glendale, California.

Block reported $5.81B in Debt for its fiscal quarter ending in June of 2025. Data for Block | SQ - Debt including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Block reported $346.51M in EBITDA for its fiscal quarter ending in December of 2024. Data for Block | SQ - Ebitda including historical, tables and charts were last updated by Trading Economics this last December in 2025.