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

Pershing Square Holdings Ord stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Block reported $39.34B in Market Capitalization this June 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 June in 2025.

Comprehensive collection of financial reports and documents for Pershing Square Holdings Ltd (PSHZF)

The average square foot value of apartments in the United States increased dramatically in recent years, peaking at about 282 U.S. dollars per square foot in 2021. This was more than double the average value just a decade ago.

Block reported $36.78B in Assets for its fiscal quarter ending in December of 2024. Data for Block | SQ - Assets including historical, tables and charts were last updated by Trading Economics this last June in 2025.

Block reported $7.92B in Debt for its fiscal quarter ending in December of 2024. Data for Block | SQ - Debt including historical, tables and charts were last updated by Trading Economics this last June 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.

Madison Square Garden Entertainment (MSGE) Stock Forecast: Positive Outlook

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

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.

Madison Square Garden Entertainment (MSGE) : A Rollercoaster Ride Ahead?

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

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 June in 2025.

Block reported $3.72B in Cost of Sales for its fiscal quarter ending in December of 2024. Data for Block | SQ - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last June in 2025.

Access North America Pocket Square Industry Overview which includes North America country analysis of (United States, Canada, Mexico), market split by Type, Application

Access South America Pocket Square Industry Overview which includes South America country analysis of (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America), market split by Type, Application

Greater Los Angeles was the U.S. market with the most industrial and logistics real estate stock in the fourth quarter of 2023, followed by Chicago and Dallas-Fort Worth. The three markets alone concentrated about 4.3 billion square feet of the over 18 billion square feet of industrial and logistics real estate stock of the country. Besides being the largest market, Los Angeles was also the most expensive market for warehouse leasing.

Block reported $13.01M in Operating Profit for its fiscal quarter ending in December of 2024. Data for Block | SQ - Operating Profit including historical, tables and charts were last updated by Trading Economics this last June 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 June in 2025.

Block reported $104.99M in Stock for its fiscal quarter ending in December of 2024. Data for Block | SQ - Stock including historical, tables and charts were last updated by Trading Economics this last May 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 June in 2025.

Block reported $2.9B in Net Income for its fiscal quarter ending in December of 2024. Data for Block | SQ - Net Income including historical, tables and charts were last updated by Trading Economics this last June in 2025.

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 June in 2025.