Royal Bank of Canada stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

The end-of-year common share closing price of Royal Bank of Canada (RBC) increased notably in 2024 compared to the previous year, marking the year with the highest share prices since 1997. At the end of 2024, the share price of RBC stood at 168.39 Canadian dollars, up from 110.76 Canadian dollars a year earlier.

Graph and download economic data for Financial Market: Share Prices for Canada (SPASTT01CAM661N) from Jan 1956 to Jun 2025 about Canada and stock market.

National Bank Of Canada reported CAD48.36B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for National Bank Of Canada | NA - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July 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.

RY:TSX Royal Bank of Canada

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

Canada's main stock market index, the TSX, rose to 27416 points on July 23, 2025, gaining 0.19% from the previous session. Over the past month, the index has climbed 2.61% and is up 21.10% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on July of 2025.

The Royal Bank of Canada (RBC) maintained its position as Canada's most valuable bank by market capitalization, reaching *** billion U.S. dollars in December 2024. Toronto-Dominion Bank held the second position with a market cap of ***** billion U.S. dollars, substantially lower than RBC but still significantly ahead of the third-ranked Bank of Montreal. Beyond its market value leadership, RBC also led Canadian banks in terms of total assets. What is market capitalization? Market capitalization provides a key metric for estimating a company's value, calculated by multiplying the share price by the total number of outstanding shares. This measure reflects investor sentiment: when investors perceive a company as undervalued, their buying activity drives up both share prices and market capitalization. However, prudent investors don't rely solely on market cap; they conduct thorough analysis of fundamental metrics, including balance sheet data and other financial indicators, to make informed investment decisions. In 2024, investor confidence in the Royal Bank of Canada was particularly evident, as RBC's share price reached unprecedented levels, setting new historical highs. Key banking metrics Banking institutions can be evaluated through multiple important measures, each offering distinct insights into their operations and market position. Total assets, analogous to a retailer's sales volume, provides a meaningful indicator of a bank's operational scale and market influence through the volume of funds under management. Revenue serves as a more direct measure of a bank's financial performance, reflecting its ability to generate income from its various banking activities. Customer base, perhaps the most straightforward metric, reveals a bank's market penetration and public reach. By this measure, both TD Bank and RBC emerged as Canada's dominant banking institutions, with the largest number of primary banking relationships.

This table contains 14 series, with data starting from 1953 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Stock market statistics (14 items: Toronto Stock Exchange; value of shares traded; United States common stocks; Dow-Jones industrials; high; United States common stocks; Dow-Jones industrials; low; Toronto Stock Exchange; volume of shares traded ...).

National Bank Of Canada reported 10.93 in PE Price to Earnings for its fiscal quarter ending in January of 2025. Data for National Bank Of Canada | NA - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Canada CA: Stocks Traded: Turnover Ratio of Domestic Shares data was reported at 81.948 % in 2022. This records an increase from the previous number of 67.091 % for 2021. Canada CA: Stocks Traded: Turnover Ratio of Domestic Shares data is updated yearly, averaging 50.464 % from Dec 1977 (Median) to 2022, with 45 observations. The data reached an all-time high of 145.400 % in 2008 and a record low of 3.833 % in 1977. Canada CA: Stocks Traded: Turnover Ratio of Domestic Shares data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Financial Sector. Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12.;World Federation of Exchanges database.;Weighted average;Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Canadian Imperial Bank Of Commerce market cap as of June 23, 2025 is $55.43B. Canadian Imperial Bank Of Commerce market cap history and chart from 2010 to 2025. Market capitalization (or market value) is the most commonly used method of measuring the size of a publicly traded company and is calculated by multiplying the current stock price by the number of shares outstanding.

Graph and download economic data for Financial Market: Share Prices for Canada (SPASTT01CAQ661N) from Q1 1956 to Q2 2025 about Canada and stock market.

Laurentian Bank Of Canada stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

As of July 2024, the market capitalization of ******************** amounted to *** billion Canadian dollars, which placed the company at the top of the ranking. What is market capitalization? Market capitalization is one of the measures of the financial strength of a company. It shows the value of shares outstanding of a publicly traded company. It is basically calculated by multiplying the number of shares traded on a stock exchange by the price of a single share. Worldwide rankings In the United States, *************** had the largest market cap among the U.S. banks, amounting to ****** billion U.S. dollars as of January 2025. The bank was also the leader in the global ranking, followed by ***************, and **********************************************.

Canada CA: Stocks Traded: Total Value: % of GDP data was reported at 104.060 % in 2022. This records a decrease from the previous number of 109.090 % for 2021. Canada CA: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 56.413 % from Dec 1975 (Median) to 2022, with 48 observations. The data reached an all-time high of 118.803 % in 2007 and a record low of 2.986 % in 1975. Canada CA: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.;World Federation of Exchanges database.;Weighted average;Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

The S&P/TSX Composite index (CAD) closed at ********* points at the end of 2024. This was an increase over the past year. What is the S&P/TSX Composite index? The S&P/TSX Composite index is a Canadian index that measures stocks on the Toronto Stock Exchange, one of the largest stock exchanges worldwide. A stock market index tracks the development of a group of stock prices. It allows to get a quick idea of economic climate in a given region. Canadian stock market The size of a stock exchange is basically the sum of market capitalizations of companies being traded on this stock exchange. The largest companies in terms of market capitalization in Canada in 2024 were the Royal Bank of Canada, and Toronto Dominion Bank. The total market capitalization of listed domestic companies in Canada equaled to **** trillion U.S. dollars in 2022.

Royal Bank of Canada reported CAD256.35B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Royal Bank of Canada | RY - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Canadian Imperial Bank Of Commerce current price to free cash flow ratio as of June 26, 2025 is 4.07. Canadian Imperial Bank Of Commerce average price to free cash flow ratio for 2024 was 7.7, a 124.49% decline from 2023. Canadian Imperial Bank Of Commerce average price to free cash flow ratio for 2023 was 3.43, a 93.79% increase from 2022. Canadian Imperial Bank Of Commerce average price to free cash flow ratio for 2022 was 1.77, a 883.33% increase from 2021. Price to free cash flow ratio can be defined as

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.

CM:TSX Canadian Imperial Bank Of Commerce

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.

Canadian General Investments (CGI): A Dividend Darling or a Value Trap?

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