Corn fell to 393.37 USd/BU on July 14, 2025, down 0.66% from the previous day. Over the past month, Corn's price has fallen 9.52%, and is down 2.69% 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.

Soybeans rose to 1,015.50 USd/Bu on July 11, 2025, up 0.30% from the previous day. Over the past month, Soybeans's price has fallen 2.57%, and is down 7.94% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Soybeans - values, historical data, forecasts and news - updated on July of 2025.

This statistic shows the price increase in food commodities between mid-June and mid-July, 2012. The price of corn increased by 33 percent in this period.

Commodity Prices: Corn, soybeans, WTI crude oil and Henry Hub natural gas, Chicago Mercantile Exchange Group .

This dataset contains Ontario soybean grain prices collected by Ridgetown College, University of Guelph. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates.This dataset includes data from August 1991 to December 1999.

Studies comparing profitability of tillage systems often examine narrow historic windows or exclude annual price fluctuations. This study uses a continuous corn (Zea mays L.) (CC; 1970–1990) and corn–soybean Glycine max (L.) Merr. Tillage × Fertilizer study in somewhat poorly drained soils in southern Illinois to reconstruct partial annual budgets with historical prices for crops, fertilizers, lime, herbicides, fuel, labor, and machinery. Combinations of tillage (moldboard plow [MP], chisel tillage [ChT], alternate tillage [AT], and no-till [NT]) and fertilizer (Control, N-only, N+NPK starter, NPK+NPK starter, and NPK broadcast) treatments were evaluated. The CC profits were highest in NPK-applied treatments followed by N-only and Control. The MP treatments were similar to ChT and more profitable than NT, while AT fell between. In CS, NPK-applied treatments were similar regardless of tillage. Combined costs for herbicide, machinery, labor, and diesel were higher in MP ...

This data product provides three Excel file spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat).

Using Futures Prices to Forecast the Season-Average Price and Counter-Cyclical Payment Rate for Corn, Soybeans, and Wheat

Farmers and policymakers are interested in the level of counter-cyclical payments (CCPs) provided by the 2008 Farm Act to producers of selected commodities. CCPs are based on the season-average price received by farmers. (For more information on CCPs, see the ERS 2008 Farm Bill Side-By-Side, Title I: Commodity Programs.)

This data product provides three Excel spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat). Users can view the model forecasts or create their own forecast by inserting different values for futures prices, basis values, or marketing weights. Example computations and data are provided on the Documentation page.

Spreadsheet Models

For each of the three major U.S. field crops, the Excel spreadsheet model computes a forecast for:

1. the national-level season-average price received by farmers and
2. the implied counter-cyclical payment rate.

Note: the model forecasts are not official USDA forecasts. See USDA's World Agricultural Supply and Demand Estimates for official USDA season-average price forecasts. See USDA's Farm Service Agency information for official USDA CCP rates.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Webpage with links to Excel files For complete information, please visit https://data.gov.

This data set contains Ontario feed grain prices collected by University of Guelph, Ridgetown Campus. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates.This dataset includes data from January 1, 2024 to December 31, 2024.

Cost and return estimates are reported for the United States and major production regions for corn, soybeans, wheat, cotton, grain sorghum, rice, peanuts, oats, barley, milk, hogs, and cow-calf. The history of commodity cost and return estimates for the U.S. and regions is divided into three categories: current, recent, and historical estimates. Cost of Production Forecasts are also available for major U.S. field crops.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

Learn about current grain prices per bushel for corn, wheat, soybeans, and oats, and how they are impacted by weather conditions, export demand, and government policies affecting production and trade.

The data shows grain prices at select inland origin points and export destination ports and the price spread between them. More specifically, this dataset compares interior prices of corn in Illinois and Nebraska with the Gulf; Iowa and Gulf soybean prices; Kansas and Gulf hard red winter wheat; and North Dakota and Portland hard red spring wheat.

The data is in Stata format and includes 2 files. The file named Agric has variables: spot price of Chicago corn and Chicago soybeans, the futures price of Chicago corn and Chicago soybeans and long positions of commodity index traders. The file named Energy contains variables on spot and futures prices of WTI crude oil and Henry Hub natural gas. The data is originally obtained from US commodity futures trading commission

Learn about the factors affecting grain commodity prices, and how the prices of wheat, corn, soybeans, rice, and oats have been impacted in recent years. Stay informed to make informed trading decisions.

Learn about live grain markets, a platform for buyers and sellers to exchange information and transact on commodities like wheat, corn, and soybeans. Discover how prices are affected by supply and demand, and the different types of contracts available to manage risk. Understand the importance of live grain markets in the global economy for farmers, grain traders, and other market participants.

Stay updated on the latest commodity grain prices and market conditions, including corn, wheat, soybeans, and rice. Learn about the factors affecting daily fluctuations and make informed decisions about buying and selling commodity grain futures.

United States PPI: Processed Foods: Animal Feeds: Corn, Cottonseed & Soybean Cake data was reported at 160.900 1982=100 in Jun 2018. This records a decrease from the previous number of 163.100 1982=100 for May 2018. United States PPI: Processed Foods: Animal Feeds: Corn, Cottonseed & Soybean Cake data is updated monthly, averaging 83.050 1982=100 from Jan 1947 (Median) to Jun 2018, with 858 observations. The data reached an all-time high of 260.500 1982=100 in Jul 2013 and a record low of 25.200 1982=100 in Nov 1960. United States PPI: Processed Foods: Animal Feeds: Corn, Cottonseed & Soybean Cake data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I017: Producer Price Index: By Commodities.

Cost and return estimates are reported for the United States and major production regions for corn, soybeans, wheat, cotton, grain sorghum, rice, peanuts, oats, barley, milk, hogs, and cow-calf. The series of commodity cost and return estimates for the U.S. and regions is divided into two categories: Recent and Historical estimates. Recent estimates date back to the point of the most recent major revision in accounting methods, account format, and regional definitions for each commodity. Historical estimates date back to when the series began. Cost-of-Production Forecasts are also available for major U.S. field crops. Organic Costs and Returns for corn, milk, wheat, and soybeans are also available.

The global grain farming market, valued at $1,846,640 million in 2025, is projected to experience steady growth, driven by a robust Compound Annual Growth Rate (CAGR) of 4.2% from 2025 to 2033. This expansion is fueled by several key factors. Increasing global population necessitates higher food production, thereby boosting demand for grains. Simultaneously, advancements in agricultural technology, including precision farming techniques and improved seed varieties, are enhancing yields and efficiency. Furthermore, the growing adoption of sustainable farming practices, aimed at minimizing environmental impact, is contributing to market growth. However, challenges such as climate change, impacting weather patterns and crop yields, and fluctuating commodity prices present potential restraints to market expansion. The competitive landscape is dominated by major players like ADM, Cargill, and Bunge, who leverage their extensive supply chains and processing capabilities to maintain market share. Regional variations in growth rates are expected, with regions like North America and Europe likely showing robust performance due to established agricultural infrastructure and technological advancements. Developing economies in Asia and Africa, although presenting considerable untapped potential, might experience slower growth due to infrastructure limitations and lower adoption of advanced technologies. The market segmentation within grain farming is broad, encompassing various types of grains like corn, wheat, soybeans, and rice, each exhibiting unique growth trajectories. The increasing demand for biofuels, derived from grains, further adds to the market's dynamism. Companies are increasingly investing in research and development to create drought-resistant and pest-resistant crops, contributing to enhanced yields and resilience against climatic variability. Strategies focusing on vertical integration, encompassing farming, processing, and distribution, are becoming prevalent among leading players to enhance profitability and control over the entire supply chain. Regulatory changes and government policies related to agricultural subsidies and sustainable farming practices will continue to shape the market's future trajectory. The forecast period of 2025-2033 suggests a promising outlook, but careful consideration of the aforementioned challenges is crucial for stakeholders to navigate this evolving market successfully.

This dataset contains historical monthly (from June 2010 to April 2025) rail tariff rates by railroad, commodity (corn, soybeans, and wheat), and train type, for select origin/destination pairs.

Beginning May 2025, upgraded monthly tariff data are published here: https://agtransport.usda.gov/d/3az4-jkr6. The upgrade almost doubles the number of published rates, from 38 origin-destination-railroad combinations to 70. Most of the new data go back to at least January 2022.