Corn fell to 415.51 USd/BU on July 2, 2025, down 1.07% from the previous day. Over the past month, Corn's price has fallen 5.24%, and is down 0.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on July of 2025.

Interactive chart of historical daily corn prices back to 1959. The price shown is in U.S. Dollars per bushel.

Get statistical data on weekly spot market and forward contract corn prices in Ontario. Data includes: * old and new crop Chicago Board of Trade (CBOT) prices * old and new crop weekly unadjusted basis * old and new crop weekly adjusted basis * old crop weekly cash price * new crop cash price * cash price spread * CBOT price spread * Canadian dollar value * 5-year average for corn basis * 10-year average for corn basis * 10-year average cash price Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Rural Affairs, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

In 2022, the average price of one bushel of corn was around **** U.S. dollars. That year, the United States was the largest producer of corn in the world.

Graph and download economic data for Global price of Corn (PMAIZMTUSDQ) from Q1 1990 to Q1 2025 about corn, World, and price.

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.

Is the TR/CC CRB Corn Index an Accurate Reflection of Corn Market Performance?

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

Graph and download economic data for Global price of Corn (PMAIZMTUSDM) from Jan 1990 to May 2025 about corn, World, and price.

China Settlement Price: Dalian Commodity Exchange: Corn: 2nd Month data was reported at 2,365.000 RMB/Ton in Apr 2025. This records an increase from the previous number of 2,250.000 RMB/Ton for Mar 2025. China Settlement Price: Dalian Commodity Exchange: Corn: 2nd Month data is updated monthly, averaging 1,983.500 RMB/Ton from Sep 2004 (Median) to Apr 2025, with 248 observations. The data reached an all-time high of 2,971.000 RMB/Ton in Apr 2022 and a record low of 1,126.000 RMB/Ton in Oct 2004. China Settlement Price: Dalian Commodity Exchange: Corn: 2nd Month data remains active status in CEIC and is reported by Dalian Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Dalian Commodity Exchange: Commodity Futures: Settlement Price.

In 2024, the U.S. wet corn market decreased by -6.9% to $10.5B, falling for the second year in a row after four years of growth. In general, consumption recorded a relatively flat trend pattern. As a result, consumption attained the peak level of $11.9B. From 2023 to 2024, the growth of the market remained at a lower figure.

This statistic shows the development of corn prices within the American market from 1936 to 2023, per metric ton. In 1956, the price for one bushel of corn in the United States was around 3.97 U.S. dollars. In 2016, one bushel of corn cost about 3.36 U.S. dollars and was projected to decrease to 4.8 U.S. dollars in 2023. The United States was the largest producer of corn worldwide in 2022.

Wheat rose to 553.75 USd/Bu on July 2, 2025, up 3.07% from the previous day. Over the past month, Wheat's price has risen 3.31%, but it is still 3.53% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on July of 2025.

In Q2 2025, native corn starch prices are forecasted to decline due to weakening corn prices in Brazil, influenced by reduced export demand and logistical challenges at northern ports caused by severe drought and low river levels.

The EU preserved sweet corn market stood at $X in 2022, increasing by X% against the previous year. The market value increased at an average annual rate of X% over the period from 2012 to 2022; the trend pattern remained relatively stable, with somewhat noticeable fluctuations being recorded in certain years. The level of consumption peaked in 2022 and is likely to see gradual growth in the near future.

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.

TR/CC CRB Corn Index: A Reliable Gauge of Global Corn Prices?

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

Interactive chart of historical daily soybean prices back to 1971. The price shown is in U.S. Dollars per bushel.

Explore the factors influencing corn price fluctuations through its graph analysis, including weather, global demand, and geopolitical events, and how they shape market trends over time on platforms like CBOT.

The China Corn Market size was valued at USD 6.17 Million in 2023 and is projected to reach USD 6.52 Million by 2032, exhibiting a CAGR of 3.10 % during the forecast periods. China's corn market is a major global player, characterized by extensive production, government support, and a focus on diverse applications such as food, feed, and biofuels. Advanced farming technologies and various corn types drive growth. The market impacts rural economies, food security, and trade, offering advantages like enhanced food security and rural development. Recent developments include: June 2022: The Chinese National Crop Variety Approval Committee released two sets of standards to clear the cultivation of genetically modified (GM) crops in China. For the commercial production of GM maize in China, the government has two steps in these regulations: a "safety certificate" and a "variety approval" before crops can be commercially cultivated in the provinces., July 2021: Chinese farmers sharply increased corn planting to cash in on demand-fuelled record prices, a trend that cooled the country's rampant import appetite. This expansion, mainly at the expense of soybeans and other crops, including sorghum and edible beans, boosted China's maize output in 2021-22 by at least 6 percent., June 2021: China started sustainable production of maize that could 'boost yields and cut greenhouse gas emissions and fertilizer use' in the country by 2035.. Notable trends are: Increasing Demand for Corn as Animal-based Protein Sources.

Graph and download economic data for Producer Price Index by Commodity: Farm Products: Sweet Corn (WPU01130214) from Jan 1960 to May 2025 about corn, vegetables, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

China Wholesale Price: Corn data was reported at 2.260 RMB/kg in 23 Apr 2025. This records an increase from the previous number of 2.240 RMB/kg for 16 Apr 2025. China Wholesale Price: Corn data is updated daily, averaging 2.360 RMB/kg from Jan 2009 (Median) to 23 Apr 2025, with 811 observations. The data reached an all-time high of 3.000 RMB/kg in 07 Dec 2022 and a record low of 1.500 RMB/kg in 18 Feb 2009. China Wholesale Price: Corn data remains active status in CEIC and is reported by National Development and Reform Commission. The data is categorized under China Premium Database’s Agriculture Sector – Table CN.RID: Livestock Breeding Condition.

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.

Corn Futures: TR/CC CRB Corn Index Projects Moderate Price Fluctuations

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