The yield on Canada 10Y Bond Yield eased to 3.25% on December 2, 2025, marking a 0.01 percentage points decrease from the previous session. Over the past month, the yield has edged up by 0.09 points and is 0.13 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Canada 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on December of 2025.

Key information about Canada Short Term Government Bond Yield

• Canada Short Term Government Bond Yield: Daily: Canada: 2 Years was reported at 2.41 % pa in Nov 2025, compared with 2.40 % pa in the previous day.
• Canada Short Term Government Bond Yield data is updated daily, available from Jan 1993 to Nov 2025.
• The data reached an all-time high of 4.97 % pa in Oct 2023 and a record low of 0.15 % pa in Feb 2021.
• Short Term Government Bond Yield is reported by CEIC Data.

The yield on Canada 3 Year Bond Yield rose to 2.54% on December 1, 2025, marking a 0.07 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.09 points, though it remains 0.48 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for Canada 3Y.

Canada CA: Long-Term Interest Rate: Government Bonds data was reported at 2.900 % in 2026. This records a decrease from the previous number of 3.018 % for 2025. Canada CA: Long-Term Interest Rate: Government Bonds data is updated yearly, averaging 5.541 % from Dec 1960 (Median) to 2026, with 67 observations. The data reached an all-time high of 14.989 % in 1981 and a record low of 0.753 % in 2020. Canada CA: Long-Term Interest Rate: Government Bonds data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.EO: Interest Rate: Forecast: OECD Member: Annual. IRL - Long-term interest rate on government bonds; Yield 10-year federal government benchmark bond)

The yield on Canada 5 Year Bond Yield eased to 2.81% on December 2, 2025, marking a 0.01 percentage points decrease from the previous session. Over the past month, the yield has edged up by 0.08 points, though it remains 0.17 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for Canada 5Y.

Graph and download economic data for Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for Canada (IRLTLT01CAM156N) from Jan 1955 to Oct 2025 about long-term, Canada, 10-year, bonds, yield, government, interest rate, interest, and rate.

Canada Government Marketable Bonds Yield: Average: 5 to 10 Years data was reported at 2.880 % pa in Apr 2025. This records a decrease from the previous number of 2.960 % pa for Mar 2025. Canada Government Marketable Bonds Yield: Average: 5 to 10 Years data is updated monthly, averaging 3.035 % pa from Jan 1998 (Median) to Apr 2025, with 328 observations. The data reached an all-time high of 6.440 % pa in Jan 2000 and a record low of 0.390 % pa in Jul 2020. Canada Government Marketable Bonds Yield: Average: 5 to 10 Years data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.M013: Government Bonds Yield. Government Marketable Bond Yields refer to direct debt payable in Canadian dollars, excluding extendible issues and Canada Savings Bonds.

Canada CA: Long-Term Interest Rate: Government Bonds: Double Hit Scenario data was reported at 1.100 % in 2021. This records a decrease from the previous number of 1.127 % for 2020. Canada CA: Long-Term Interest Rate: Government Bonds: Double Hit Scenario data is updated yearly, averaging 5.912 % from Dec 1960 (Median) to 2021, with 62 observations. The data reached an all-time high of 14.989 % in 1981 and a record low of 1.100 % in 2021. Canada CA: Long-Term Interest Rate: Government Bonds: Double Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.EO: Interest Rate: Forecast: OECD Member: Annual. IRL - Long-term interest rate on government bonds; Yield 10-year federal government benchmark bond)

The yield on Canada 2 Year Bond Yield held steady at 2.49% on December 2, 2025. Over the past month, the yield has edged up by 0.06 points, though it remains 0.58 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for Canada 2Y.

Forecast: Risk Premium on Lending (Lending Rate Minus Risk Free Bond Rate) in Canada 2022 - 2026 Discover more data with ReportLinker!

The yield on Canada 30 Year Bond Yield eased to 3.70% on December 2, 2025, marking a 0.01 percentage points decrease from the previous session. Over the past month, the yield has edged up by 0.09 points and is 0.53 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for Canada 30Y.

Canada Government Benchmark Bonds Yield: Month End: 3 Years data was reported at 2.400 % pa in Nov 2025. This stayed constant from the previous number of 2.400 % pa for Oct 2025. Canada Government Benchmark Bonds Yield: Month End: 3 Years data is updated monthly, averaging 1.840 % pa from Jan 1993 (Median) to Nov 2025, with 395 observations. The data reached an all-time high of 9.010 % pa in Jan 1995 and a record low of 0.180 % pa in Jan 2021. Canada Government Benchmark Bonds Yield: Month End: 3 Years data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.M: Government Bonds Yield. Government Benchmark Bond are rates based on actual mid-market closing yields of selected Canada bond issues that mature approximately in the indicated term areas.

Prices for Canada 52W including live quotes, historical charts and news. Canada 52W was last updated by Trading Economics this December 2 of 2025.

Prices for Canada 5Y including live quotes, historical charts and news. Canada 5Y was last updated by Trading Economics this December 2 of 2025.

Key information about Canada Long Term Interest Rate

• Canada Government Benchmark Bonds Yield: Month End: 10 Years was reported at 3.12 % pa in Oct 2025, compared with 3.17 % pa in the previous month.
• Canada Long Term Interest Rate data is updated monthly, available from Jan 1993 to Oct 2025.
• The data reached an all-time high of 9.28 % pa in Jun 1994 and a record low of 0.46 % pa in Jul 2020.
• Long Term Interest Rate is reported by reported by Bank of Canada.

• In the latest reports, Canada Short Term Interest Rate: Month End: Treasury Bills Yield: 3 Months was reported at 2.21 % pa in Oct 2025.
• The cash rate (Policy Rate: Month End: Overnight Target Rate) was set at 2.25 % pa in Oct 2025.
• Canada Exchange Rate against USD averaged 1.40 (USD/CAD) in Oct 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

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 Equities: Market Upswing or Downturn in the Cards?

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.

Canada Goose Holdings Inc. Forecast & Analysis

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

Key information about Canada Short Term Interest Rate

• Canada Short Term Interest Rate: Month End: Treasury Bills Yield: 3 Months was reported at 2.21 % pa in Oct 2025, compared with 2.42 % pa in the previous month.
• Canada Short Term Interest Rate data is updated monthly, available from Jan 1993 to Oct 2025.
• The data reached an all-time high of 8.30 % pa in Mar 1995 and a record low of 0.06 % pa in Nov 2021.
• Short Term Interest Rate is reported by reported by Bank of Canada.

• In the latest reports, Canada Government Benchmark Bonds Yield: Month End: 10 Years was reported at 3.12 % pa in Oct 2025.
• The cash rate (Policy Rate: Month End: Overnight Target Rate) was set at 2.25 % pa in Oct 2025.
• Canada Exchange Rate against USD averaged 1.40 (USD/CAD) in Oct 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.

Canada Goose (GOOS) Soaring High or Facing a Cold Front?

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