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Southwestern Energy stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
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License information was derived automatically
Southwestern Energy reported 1.16K in Employees for its fiscal year ending in December of 2023. Data for Southwestern Energy | SWN - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Southwestern Energy reported $7.83B in Market Capitalization this September of 2024, considering the latest stock price and the number of outstanding shares.Data for Southwestern Energy | SWN - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Southwestern Energy reported $9.85B in Assets for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Assets including historical, tables and charts were last updated by Trading Economics this last June in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Southwestern Energy reported $-103000000 in Operating Profit for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Operating Profit including historical, tables and charts were last updated by Trading Economics this last June in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Southwestern Energy reported $836M in Cost of Sales for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last June in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Southwestern Energy reported 1.1B in Outstanding Shares in April of 2024. Data for Southwestern Energy | SWN - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $4.31B in Debt for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Debt including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $1.19B in Operating Expenses for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Operating Expenses including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $1.17B in Trade Creditors for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Trade Creditors including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $-608000000 in Net Income for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Net Income including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $37M in Interest Expense on Debt for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $45M in Selling and Administration Expenses for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $-747000000 in EBIT for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Ebit including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $1.01B in Current Assets for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Current Assets including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $1.08B in Sales Revenues for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last June in 2025.
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License information was derived automatically
Southwestern Energy reported $1.92B in Current Liabilities for its fiscal quarter ending in June of 2024. Data for Southwestern Energy | SWN - Current Liabilities including historical, tables and charts were last updated by Trading Economics this last June in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Southwestern Energy stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.