Corn rose to 433.53 USd/BU on December 2, 2025, up 0.01% from the previous day. Over the past month, Corn's price has fallen 0.17%, but it is still 2.43% higher 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 December 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.

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.

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.

Soybeans rose to 1,130.79 USd/Bu on December 2, 2025, up 0.25% from the previous day. Over the past month, Soybeans's price has risen 0.99%, and is up 14.02% 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 December of 2025.

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 October 31, 2024. Data for November 1, 2024 to December 31, 2024 will be added as it becomes available.

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 corn, wheat and soybean wholesaling industry has operated through years of volatility shaped by global health crises, trade disruptions and shifting consumer demand. Early in the pandemic, logistics breakdowns and supply chain bottlenecks disrupted grain distribution, forcing wholesalers to adapt quickly. Even with these disruptions, demand for staple grains such as corn, wheat and soybeans remained steady, helping to cushion revenue losses. As the economy reopened, pent-up demand exerted new pressure on inventories, sending grain prices higher and tightening margins across the supply chain. Geopolitical tensions, particularly the conflict in Ukraine, further complicated trade flows by constraining wheat exports and creating uncertainty in international markets. In contrast, government subsidies tied to biofuels, particularly those using corn and soybean oil, provided partial relief. These policies stimulated domestic demand and helped offset global disruptions that limited supply. Over the five years to 2025, industry revenue is expected to increase at an annualized rate of 1.3% to reach $238.5 billion, though a modest 2.4% decline is forecast for 2025 as prices stabilize and exports face renewed competition. Evolving dietary preferences have also reshaped the industry’s trajectory. The growing popularity of low-carbohydrate diets has weighed on wheat consumption, pressuring wholesalers reliant on that market. At the same time, the expanding market for plant-based products has strengthened soybean demand, providing a valuable counterbalance. These contrasting trends have prompted wholesalers to adjust their product mixes and diversify their distribution strategies to capture emerging growth areas while managing costs associated with logistics and storage. The industry’s performance demonstrates a degree of resilience despite economic and structural headwinds. Its ability to adapt to changing trade conditions, regulatory landscapes, and consumer trends has supported a gradual recovery following years of volatility. Looking ahead, overall revenue growth is expected to plateau, reaching an estimated $239.0 billion by 2030. The sector’s near-term outlook remains steady but subdued, with modest expansion constrained by mature demand and persistent competition in global grain markets.

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 ...

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.

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.

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 July 31, 2024. Data for August 1, 2024 to December 31, 2024 will be added as it becomes available.

Analysis of the corn market's decline on Friday, driven by soybean spillover, crude oil losses, and trade policy, with key price levels and harvest progress details.

This data set contains Ontario Wheat Prices 2010-present collected by the Ridgetown College. 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. Data are available on a monthly basis. For historical price data going back to 1991, please contact the DRC at drchelp@uoguelph.ca

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

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

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 data set contains Ontario wheat 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 March 31, 2024. Data for April 1, 2024 to December 31, 2024 will be added as it becomes available.

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.

Headlines of Corn and Soybean

Headlines extracted from http://soybeansandcorn.com/

Monthly Average - Chicago Board of Trade (CBOT)

https://www.macrotrends.net/2531/soybean-prices-historical-chart-data https://www.macrotrends.net/2532/corn-prices-historical-chart-data

Content

The data source of time-series were obtained from the World Agricultural Supply and Demand Estimates (WAOB) from the United States Department of Agriculture (USDA) website.

The period ranges from January 2014 to December 2020. The attributes represent several time-series features, such as planted area, harvested area, yield, beginning stocks, imports, supply, demand (World), and other estimates from countries with the most significant corn and soybean production

The CBOT is a designated contract maker of the CME Group for the future exchange where agricultural commodity contracts are traded, and the prices charged at CBOT are a benchmark in worldwide prices.

We use the textual data extracted from the website Soybean & Corn Advisor. Since 2009, the website has provided daily news and information on soybean and corn production related to the South American growth cycles, climate, infrastructure, land use, ethanol, and alternative fuel production.

Files: - All_Headlines: All headlines from 2014 to 2020 on the website (http://soybeansandcorn.com). - All_News_Corn_Soybean: All headlines and News from 2014 to 2020 on the website (http://soybeansandcorn.com). - Headlines_Corn/Soybean: headlines that have the word corn/soybean. Label2: 0 is neutral or downtrend; 1 is uptrend. Label3: -1 is downtrend ; 0 neutral; 1 uptrend. A variation of 1% of the monthly average was used for the attribution of labels. - USDA Corn/soybean: reports WASDE; - prices_historical_corn/soybean: historical value from CBOT. Source: Macrotrends.

Acknowledgements

The WASDE data is extracted from (public domain) monthly reports produced by the U. S. Department of Agriculture. The Corn and Soybean Advisor website for offering daily textual content. The macrotends by offering historical value

Inspiration

This data set was designed for forecasting tasks that consider textual data.