Corn rose to 422.35 USd/BU on October 3, 2025, up 0.14% from the previous day. Over the past month, Corn's price has risen 5.65%, but it is still 0.56% lower than a year ago, 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 October of 2025.

Soybeans fell to 1,021.47 USd/Bu on October 3, 2025, down 0.22% from the previous day. Over the past month, Soybeans's price has risen 0.94%, but it is still 1.57% lower than a year ago, 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 October 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 data set contains Ontario soybean 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.

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.

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 ...

Graph and download economic data for Producer Price Index by Commodity: Farm Products: Soybeans (WPU01830131) from Jan 1947 to Aug 2025 about beans, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

An analysis of the severe financial crisis facing U.S. corn and soybean farmers due to a dramatic collapse in crop prices, rising production costs, and lost export markets, alongside new government aid.

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.

Soybean and soy product futures declined due to expectations of weak export sales data and forecasts for minimal rainfall in key US growing regions, impacting crop conditions and demand.

The Implied Impact on Price dataset provides a cross-commodity view of how market narratives and sentiment correlate with price movements across agriculture, energy, and currencies. The data expresses implied directional impacts (positive or negative) derived from sentiment analysis and market drivers, helping traders understand how different commodities and assets may respond to external shocks. Key features in this sample include: Agriculture sensitivity: Corn shows strong positive implied impact (+0.80), while cotton and coffee exhibit pronounced negative sensitivity (-1.00). Livestock volatility: Live cattle and lean hogs display mixed impacts across markets, highlighting their sensitivity to both supply shocks and currency moves. Soft commodities: Sugar and soybeans reveal sharp negative relationships with certain drivers, balanced by pockets of positive sentiment. Cross-asset relationships: The dataset reveals how agriculture commodities correlate not only within their sector but also with energy and FX markets. For systematic and quantitative traders, this dataset offers a structured framework for: Identifying leading indicators across sectors. Testing cross-asset correlations between agriculture, energy, and currencies. Building factor models that incorporate sentiment-driven relationships alongside traditional price data. By quantifying implied impacts, this dataset helps trading desks refine models, stress test portfolios, and uncover new sources of alpha.

Grain futures markets anticipate USDA data as analysts predict record corn and soybean yields, influencing trading trends and price movements across key commodities.

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.

Analysis of the decline in soybean, corn, and wheat futures on CBOT, driven by favorable weather and increased global production forecasts from IndexBox data.

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.

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.

Graph and download economic data for Global price of Soybeans (PSOYBUSDQ) from Q1 1990 to Q2 2025 about beans, World, and price.

This data set contains Ontario corn 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.

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.