This statistic shows the total revenues for contract research company IQVIA from 2013 to 2024, in million U.S. dollars. According to the company's last report in 2024, total revenues stood at some **** billion U.S. dollars. IQVIA - formerly known as Quintiles and IMS Health, Inc. - is a U.S. company from Durham, North Carolina, active in clinical research and health IT.

This statistic shows the total revenue streams of contract researcher IQVIA from 2016 to 2024. In 2024, Technology & Analytics Solutions generated around *** billion U.S. dollars in revenue. IQVIA - formerly known as Quintiles and IMS Health, Inc. - is a U.S. company from Durham, North Carolina, active in clinical research and health IT.

IQVIA Holdings reported $2.81 in EPS Earnings Per Share for its fiscal quarter ending in June of 2025. Data for IQVIA Holdings | IQV - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last September in 2025.

IQVIA Holdings reported $266M in Net Income for its fiscal quarter ending in June of 2025. Data for IQVIA Holdings | IQV - Net Income including historical, tables and charts were last updated by Trading Economics this last September in 2025.

The market research revenue of IQVIA in the United States increased significantly between 2013 and 2021. In 2021, the U.S. research company generated revenue of almost *** billion U.S. dollars in the United States, an increase of approximately *** million U.S. dollars compared to the previous year.

Net-Profit-Margin Time Series for IQVIA Holdings Inc. IQVIA Holdings Inc. provides clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries in the Americas, Europe, Africa, and the Asia-Pacific. It operates through three segments: Technology & Analytics Solutions, Research & Development Solutions, and Contract Sales & Medical Solutions. The Technology & Analytics Solutions segment offers a range of cloud-based applications and related implementation services; real world solutions that enable life sciences and provider customers to generate and disseminate evidence, which informs health care decision making and improves patients' outcomes; and strategic and implementation consulting services, such as advanced analytics and commercial processes outsourcing services. This segment also provides country level performance metrics related to sales of pharmaceutical products, prescribing trends, medical treatment, and promotional activity across various channels, including retail, hospital, and mail order; and measurement of sales or prescribing activity at the regional, zip code, and individual prescriber level. The Research & Development Solutions segment offers project management and clinical monitoring; clinical trial support; strategic planning and design services; and patient and site centric solutions, as well as central laboratory, genomic, bioanalytical, ADME, discovery, and vaccine and biomarker laboratory services. The Contract Sales & Medical Solutions segment provides health care provider and patient engagement services, and scientific strategy and medical affairs services. It serves pharmaceutical, biotechnology, device and diagnostic, and consumer health companies. It has a strategic collaboration with Sarah Cannon Research Institute to enhance clinical trial processes. The company was formerly known as Quintiles IMS Holdings, Inc. and changed its name to IQVIA Holdings Inc. in November 2017. The company is based in Durham, North Carolina.

IQVIA Holdings reported $556M in Operating Profit for its fiscal quarter ending in June of 2025. Data for IQVIA Holdings | IQV - Operating Profit including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Net-Income-Including-Non-Controlling-Interests Time Series for IQVIA Holdings Inc. IQVIA Holdings Inc. provides clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries in the Americas, Europe, Africa, and the Asia-Pacific. It operates through three segments: Technology & Analytics Solutions, Research & Development Solutions, and Contract Sales & Medical Solutions. The Technology & Analytics Solutions segment offers a range of cloud-based applications and related implementation services; real world solutions that enable life sciences and provider customers to generate and disseminate evidence, which informs health care decision making and improves patients' outcomes; and strategic and implementation consulting services, such as advanced analytics and commercial processes outsourcing services. This segment also provides country level performance metrics related to sales of pharmaceutical products, prescribing trends, medical treatment, and promotional activity across various channels, including retail, hospital, and mail order; and measurement of sales or prescribing activity at the regional, zip code, and individual prescriber level. The Research & Development Solutions segment offers project management and clinical monitoring; clinical trial support; strategic planning and design services; and patient and site centric solutions, as well as central laboratory, genomic, bioanalytical, ADME, discovery, and vaccine and biomarker laboratory services. The Contract Sales & Medical Solutions segment provides health care provider and patient engagement services, and scientific strategy and medical affairs services. It serves pharmaceutical, biotechnology, device and diagnostic, and consumer health companies. It has a strategic collaboration with Sarah Cannon Research Institute to enhance clinical trial processes. The company was formerly known as Quintiles IMS Holdings, Inc. and changed its name to IQVIA Holdings Inc. in November 2017. The company is based in Durham, North Carolina.

This statistic shows the annual net income of contract researcher IQVIA Holding Inc. from 2013 to 2024. In 2024, the net income of IQVIA was 1.37 billion U.S. dollars. IQVIA - formerly known as Quintiles and IMS Health, Inc. - is a U.S. company from Durham, North Carolina, active in clinical research and health IT.

UAB "IQVIA Commercial" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

IQVIA Holdings reported $4.02B in Sales Revenues for its fiscal quarter ending in June of 2025. Data for IQVIA Holdings | IQV - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last September in 2025.

IQVIA RDS UAB financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

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.

IQV IQVIA 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

IQVIA Holdings reported $910M in EBITDA for its fiscal quarter ending in June of 2025. Data for IQVIA Holdings | IQV - Ebitda including historical, tables and charts were last updated by Trading Economics this last September in 2025.

IQVIA Holdings reported $10M in Interest Income for its fiscal quarter ending in June of 2025. Data for IQVIA Holdings | IQV - Interest Income including historical, tables and charts were last updated by Trading Economics this last September in 2025.

The operating profit of Iqvia Holdings with headquarters in the United States amounted to *** billion U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately *** billion U.S. dollars. The trend from 2020 to 2024 shows, furthermore, that this increase happened continuously.

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.

IQVIA: Navigating Healthcare's Future (IQV)

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.

IQVIA (IQV) Stock Forecast: Optimistic Outlook

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

IQVIA Holdings reported $1.05B in Gross Profit on Sales for its fiscal quarter ending in June of 2025. Data for IQVIA Holdings | IQV - Gross Profit On Sales including historical, tables and charts were last updated by Trading Economics this last September 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.

IQVIA Interplay: Key Driver for Growth?

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