Performant Financial 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.

PFMT Stock Forecast: A Sell For The Next 6 Month

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.

PFMT Performant Financial Corporation 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

Performant Financial reported $206.1M in Market Capitalization this April of 2024, considering the latest stock price and the number of outstanding shares.Data for Performant Financial | PFMT - Market Capitalization 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.

Performant Financial (PFMT): Will Performance Pay Off?

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

Performant Financial reported 76.92M in Outstanding Shares in April of 2024. Data for Performant Financial | PFMT - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Performant Financial reported $101.84M in Assets for its fiscal quarter ending in September of 2024. Data for Performant Financial | PFMT - Assets including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Performant Financial reported $8M in Loan Capital for its fiscal quarter ending in June of 2024. Data for Performant Financial | PFMT - Loan Capital 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.

Performant Financial Flurry: A Dividend Mirage? (PFMT)

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

Performant Financial reported 958 in Employees for its fiscal year ending in December of 2023. Data for Performant Financial | PFMT - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Performant Financial reported $714K in EBITDA for its fiscal quarter ending in September of 2023. Data for Performant Financial | PFMT - Ebitda including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Performant Financial reported 96.72 in PE Price to Earnings for its fiscal quarter ending in June of 2021. Data for Performant Financial | PFMT - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Performant Financial reported $8M in Debt for its fiscal quarter ending in September of 2024. Data for Performant Financial | PFMT - Debt including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Performant Financial reported $-2384000 in Net Income for its fiscal quarter ending in September of 2024. Data for Performant Financial | PFMT - Net Income including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Performant Financial reported 0 in Dividend Yield for its fiscal quarter ending in March of 2025. Data for Performant Financial | PFMT - Dividend Yield including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Performant Financial reported $8K in Ordinary Share Capital for its fiscal quarter ending in September of 2024. Data for Performant Financial | PFMT - Ordinary Share Capital including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Performant Financial reported $33.67M in Operating Expenses for its fiscal quarter ending in September of 2024. Data for Performant Financial | PFMT - Operating Expenses including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Performant Financial reported $38.33M in Current Assets for its fiscal quarter ending in September of 2024. Data for Performant Financial | PFMT - Current Assets including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Performant Financial reported $31.52M in Sales Revenues for its fiscal quarter ending in September of 2024. Data for Performant Financial | PFMT - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Performant Financial reported $75.24M in Equity Capital and Reserves for its fiscal quarter ending in September of 2024. Data for Performant Financial | PFMT - Equity Capital And Reserves including historical, tables and charts were last updated by Trading Economics this last August in 2025.