Thomson Reuters reported $28M in Interest Expense on Debt for its fiscal quarter ending in December of 2024. Data for Thomson Reuters | TRI - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Thomson Reuters reported $2M in Interest Income for its fiscal quarter ending in June of 2024. Data for Thomson Reuters | TRI - Interest Income including historical, tables and charts were last updated by Trading Economics this last September in 2025.

View Reuters Polls to understand the views of top forecasters in financial markets, and gain polling history of detailed forecasts and consensus estimates.

Reuters Polls gather insights from experts, presenting the perspectives of leading financial market forecasters at specific moments. These forecasters consist of economists, strategists from both the sell-side and buy-side, independent analysts, and some scholars. The polling archives encompass detailed predictions and consensus estimates for over 900 economic indicators, currency exchange rates, central bank policies on interest rates, money market rates, and bond yields.

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.

TRI Thomson Reuters Corp Ordinary Shares

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.

Thorn in Reuters' (TRI) Side?

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

Content

The Federal Reserve Board has discontinued this series as of October 31, 2016. More information, including possible alternative series, can be found at http://www.federalreserve.gov/feeds/h15.html. Rate paid by fixed-rate payer on an interest rate swap with maturity of three years. International Swaps and Derivatives Association (ISDA®) mid-market par swap rates. Rates are for a Fixed Rate Payer in return for receiving three month LIBOR, and are based on rates collected at 11:00 a.m. Eastern time by Garban Intercapital plc and published on Reuters Page ISDAFIX®1. ISDAFIX is a registered service mark of ISDA. Source: Reuters Limited.

Context

This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 2000-07-03

• Observation End : 2016-10-28

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Ethan McArthur on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Content

The Federal Reserve Board has discontinued this series as of October 31, 2016. More information, including possible alternative series, can be found at http://www.federalreserve.gov/feeds/h15.html. Rate paid by fixed-rate payer on an interest rate swap with maturity of two years. International Swaps and Derivatives Association (ISDA®) mid-market par swap rates. Rates are for a Fixed Rate Payer in return for receiving three month LIBOR, and are based on rates collected at 11:00 a.m. Eastern time by Garban Intercapital plc and published on Reuters Page ISDAFIX®1. ISDAFIX is a registered service mark of ISDA. Source: Reuters Limited.

Context

This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 2000-07-07

• Observation End : 2016-10-28

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Asia Chang on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

CRB Index rose to 374.05 Index Points on August 29, 2025, up 0.21% from the previous day. Over the past month, CRB Index's price has fallen 0.60%, but it is still 14.04% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on September of 2025.

Build and customize zero coupon curves using a multi-curve framework and estimate forward rates for a wide range of indices using our pricing analytics APIs.

Interbank Rate in New Zealand decreased to 3 percent on Monday September 1 from 3.01 in the previous day. This dataset provides - New Zealand Three Month Interbank Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.