Atlantica Sustainable Infrastructure PLC stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Atlantica Sustainable Infrastructure PLC reported 38.06M in Stock for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Stock including historical, tables and charts were last updated by Trading Economics this last August in 2025.

AI-powered price forecasts for AY stock across different timeframes including weekly, monthly, yearly, and multi-year predictions.

Atlantica Sustainable Infrastructure PLC reported 2.55B in Market Capitalization this January of 2025, considering the latest stock price and the number of outstanding shares.Data for Atlantica Sustainable Infrastructure PLC | AY - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 73.27 in PE Price to Earnings for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 1.29B in Equity Capital and Reserves for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Equity Capital And Reserves including historical, tables and charts were last updated by Trading Economics this last August 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.

FAU FIRST AU LIMITED

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 line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is AU. The data is about stocks per day.

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.

AngloGold Ashanti (AU:AGG) - A Golden Opportunity or Digging Deeper?

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.

AngloGold Ashanti (AGG.AU) Outlook: A Glittering Future or a Foolish Gamble?

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

Atlantica Sustainable Infrastructure PLC reported 217.57M in Operating Expenses for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Operating Expenses including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 7.6M in Cost of Sales for its fiscal quarter ending in June of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Atlantica Sustainable Infrastructure PLC reported 4.86M in Interest Income for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Interest Income including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 434.56M in Cash and Equivalent for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Cash And Equivalent including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 129.98M in EBIT for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Ebit including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 11.62M in Ordinary Share Capital for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Ordinary Share Capital including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 16.64M in Net Income for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Net Income including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 5.45B in Debt for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Debt including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 347.55M in Sales Revenues for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Atlantica Sustainable Infrastructure PLC reported 41.86M in Pre-Tax Profit for its fiscal quarter ending in September of 2024. Data for Atlantica Sustainable Infrastructure PLC | AY - Pre Tax Profit including historical, tables and charts were last updated by Trading Economics this last August in 2025.