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

US Silica reported $141.65M in Stock for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Stock 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.

SLCA U.S. Silica Holdings Inc. Common Stock

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

US Silica reported 78.09M in Outstanding Shares in April of 2024. Data for US Silica | SLCA - Outstanding Shares 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.

U.S. Silica: (SLCA) Riding the Wave of Construction Boom?

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

US Silica reported $1.21B in Market Capitalization this July of 2024, considering the latest stock price and the number of outstanding shares.Data for US Silica | SLCA - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last June in 2025.

US Silica reported $611.26M in Current Assets for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Current Assets including historical, tables and charts were last updated by Trading Economics this last June in 2025.

US Silica reported $205.77M in Cost of Sales for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last June in 2025.

US Silica reported 6.61 in PE Price to Earnings for its fiscal quarter ending in March of 2024. Data for US Silica | SLCA - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last June in 2025.

US Silica reported $2.07B in Assets for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Assets 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.

SLCA Stock: The Can That's Slowly Rotting Away

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

US Silica reported 0 in Dividend Yield for its fiscal quarter ending in March of 2022. Data for US Silica | SLCA - Dividend Yield including historical, tables and charts were last updated by Trading Economics this last June in 2025.

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

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.

SLCA: Sand and Innovation - A Recipe for Market Dominance?

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

US Silica reported $19.28M in Net Income for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Net Income including historical, tables and charts were last updated by Trading Economics this last June in 2025.

US Silica reported $807.64M in Debt for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Debt including historical, tables and charts were last updated by Trading Economics this last June in 2025.

US Silica reported $51.96M in EBIT for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Ebit including historical, tables and charts were last updated by Trading Economics this last June in 2025.

US Silica reported $44.68M in Operating Profit for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Operating Profit including historical, tables and charts were last updated by Trading Economics this last June in 2025.

US Silica reported $80.92M in EBITDA for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Ebitda including historical, tables and charts were last updated by Trading Economics this last June in 2025.

US Silica reported $317.52M in Sales Revenues for its fiscal quarter ending in June of 2024. Data for US Silica | SLCA - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last June in 2025.