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

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

Fox reported $432M in Stock for its fiscal quarter ending in June of 2025. Data for Fox | FOX - Stock including historical, tables and charts were last updated by Trading Economics this last September in 2025.

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

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.

How Do You Pick a Stock? (FOX Stock Forecast)

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.

Fox (FOX): Can the Rise Continue in 2023?

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.

Fox Corporation Class B Common Stock Forecast & Analysis

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.

How do you determine buy or sell? (LON:FOX Stock Forecast)

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

Fox Wizel reported 1.52B in Stock for its fiscal quarter ending in June of 2025. Data for Fox Wizel | FOX - Stock including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported $2.45B in Operating Expenses for its fiscal quarter ending in June of 2025. Data for Fox | FOX - Operating Expenses including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported $1.53B in Gross Profit on Sales for its fiscal quarter ending in June of 2025. Data for Fox | FOX - Gross Profit On Sales including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported 1.05 in Dividend Yield for its fiscal quarter ending in June of 2025. Data for Fox | FOX - Dividend Yield including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox Wizel reported ILS4.34B in Market Capitalization this September of 2025, considering the latest stock price and the number of outstanding shares.Data for Fox Wizel | FOX - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported $11.96B in Equity Capital and Reserves for its fiscal quarter ending in June of 2025. Data for Fox | FOX - Equity Capital And Reserves including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported 235.58M in Outstanding Shares in January of 2025. Data for Fox | FOX - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported $12.85B in Market Capitalization this August of 2025, considering the latest stock price and the number of outstanding shares.Data for Fox | FOX - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported $1.27 in EPS Earnings Per Share for its fiscal quarter ending in June of 2025. Data for Fox | FOX - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported $7.47B in Debt for its fiscal quarter ending in June of 2025. Data for Fox | FOX - Debt including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported $3.29B in Sales Revenues for its fiscal quarter ending in June of 2025. Data for Fox | FOX - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Fox reported $1.86B in Cost of Sales for its fiscal quarter ending in June of 2025. Data for Fox | FOX - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last September in 2025.