Corn fell to 397.51 USd/BU on July 11, 2025, down 2.39% from the previous day. Over the past month, Corn's price has fallen 9.35%, and is down 4.16% 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.

Stay up-to-date with today's grain prices per bushel for corn, soybeans, wheat, oats, and rice, and learn about the various factors that influence these prices such as weather, supply and demand, government policies, and international trade. Discover how farmers, agribusinesses, and consumers are affected by these prices.

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.

Basis reflects both local and global supply and demand forces. It is calculated as the difference between the local cash price and the futures price. It affects when and where many grain producers and shippers buy and sell grain. Many factors affect basis—such as local supplies, storage and transportation availability, and global demand—and they interact in complex ways. How changes in basis manifest in transportation is likewise complex and not always direct. For instance, an increase in current demand will drive cash prices up relative to future prices, and increase basis. At the same time, grain will enter the transportation system to fulfill that demand. However, grain supplies also affect basis, but will have the opposite effect on transportation. During harvest, the increase in the supply of grain pushes down cash prices relative to futures prices, and basis weakens, but the demand for transportation increases to move the supplies.

For more information on how basis is linked to transportation, see the story, "Grain Prices, Basis, and Transportation" (https://agtransport.usda.gov/stories/s/sjmk-tkh6), and links below for research on the topic.

This data has corn, soybean, and wheat basis for a variety of locations. These include origins—such as Iowa, Minnesota, Nebraska, and many others—and destinations, such as the Pacific Northwest, Louisiana Gulf, Texas Gulf, and Atlantic Coast.

This is one of three companion datasets. The other two are grain prices (https://agtransport.usda.gov/d/g92w-8cn7) and grain price spreads (https://agtransport.usda.gov/d/an4w-mnp7). These datasets are separate, because the coverage lengths differ and missing values are removed (e.g., there needs to be a cash price and a futures price to have a basis price).

The cash price comes from the grain prices dataset and the futures price comes from the appropriate futures market, which is Chicago Board of Trade (CME Group) for corn, soybeans, and soft red winter wheat; Kansas City Board of Trade (CME Group) for hard red winter wheat; and the Minneapolis Grain Exchange for hard red spring wheat.

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.

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.

Today's grain market report shows a mix of trends in the prices of corn, soybeans, wheat, rice, and oats. Corn and soybean prices increased due to strong export demand and concerns about dry weather conditions, while wheat prices declined slightly. However, analysts warn that the upward trend may not be sustainable in the long run. Overall, the grain market seems to be driven by events in the global agricultural sector, such as reports of crop yields and demand.

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.

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.

Learn about the current trends in grain prices per bushel, including the factors affecting corn, wheat, soybean, and sorghum prices in September 2021. Stay informed on the fluctuations in the grain market to make informed investment decisions and agricultural policies.

Prices are a fundamental component of exchange and have long been important to the functioning of agricultural markets. Grain prices are closely related to grain transportation, where the supply and demand for grain simultaneously determines both the price of grain, as well as the demand for grain transportation.

This data has corn, soybean, and wheat prices for a variety of locations. These include origins—such as Iowa, Minnesota, Nebraska, and many others—and destinations, such as the Pacific Northwest, Louisiana Gulf, Texas Gulf, and Atlantic Coast.

The data come from three sources: USDA-AMS Market News price reports, GeoGrain, and U.S. Wheat Associates. Links are included below. GeoGrain offers granular data for purchase. The GeoGrain data here is an average of those granular prices for a given state (and the "Southeast" region, which combines Arkansas, Mississippi, and Alabama).

This is one of three companion datasets. The other two are grain basis (https://agtransport.usda.gov/d/v85y-3hep) and grain price spreads (https://agtransport.usda.gov/d/an4w-mnp7). These datasets are separate, because the coverage lengths differ and missing values are removed (e.g., there needs to be a cash price and a futures price to have a basis price).

The dataset consists of 4 EXCEL files of 590 data entries. The soybean meal and corn prices in the wholesale markets include the average prices of soybean meal and corn markets nationwide from 2019 to 2022, measured on a weekly, monthly, and quarterly basis. Each entry is expressed in yuan per kilogram, with a total of 239 items for each time scale. The dataset involves processed monthly and quarterly data, with the weekly data retained in their raw form, sourced directly from the Animal Husbandry and Veterinary Bureau of the Ministry of Agriculture. The soybean meal and corn prices in the retail markets include the average prices of soybean meal and corn markets nationwide and 29 provinces from 2019 to 2022, measured on a monthly and quarterly basis. Each entry is expressed in yuan per kilogram, with a total of 56 items for each time scale. The dataset involves processed quarterly data, with the monthly data retained in their raw form, sourced directly from the CHINA Animal Veterinary Information Net of the National Animal Husbandry General Station.

Get an update on the current grain market prices for corn, soybeans, wheat, and rice. Discover how weather, supply and demand, and global trade policies impact the market and learn how farmers and traders can stay informed and make the most of current market conditions.

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

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.

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.

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 Price Discovery is a web based tool that allows users to view pricing information for the following crops covered by the Common Crop Insurance and the Area Risk Protection policies: barley, canola (including rapeseed), corn, cotton, grain sorghum, rice, soybeans, sunflowers, and wheat, and coverage prices, rates and actual ending values for the Livestock Risk Protection program, and expected and actual gross margin information for the Livestock Gross Margin program.