Corn fell to 383.01 USd/BU on August 8, 2025, down 0.39% from the previous day. Over the past month, Corn's price has fallen 4.07%, and is down 3.04% 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 August of 2025.

Soybeans fell to 967.25 USd/Bu on August 8, 2025, down 0.46% from the previous day. Over the past month, Soybeans's price has fallen 4.14%, and is down 3.74% 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 August of 2025.

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.

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 and ChT systems than AT and lowest in NT, but were a small percentage of total costs (26.6, 26.0, 21.5, and 18.2%, respectively). Nitrogen fertilizer offered a return on investment of 396% in CC and 133% in CS while P & K returned 78% in CC and 109% in CS. Sensitivity analysis in CS showed that NT would be less profitable than MP if herbicide costs increased 850%. A 300% machinery cost increase would have made MP less profitable than NT. These findings suggest that since 1991 CS under NT carried the same potential for profit as other tillage systems under full fertility management.

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.

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.

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 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: the national-level season-average price received by farmers and 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 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.

The Corn, Wheat and Soybean Wholesaling industry has maneuvered through a challenging environment shaped by the COVID-19 pandemic and geopolitical tensions. The industry faced disruptions early on as supply chains and distribution networks were impacted. Yet, demand for essential grains like corn, wheat and soybeans stayed stable, cushioning revenue levels despite the upheaval. Demand surged as the sector began recovering from the pandemic, exerting pressure on supplies and driving price inflation for key grains like corn. The conflict in Ukraine added another layer of complexity, sharply constraining wheat supplies and complicating operational dynamics. Even so, governmental interventions, particularly through subsidies for biofuels using corn and soybean oils, provided a revenue boost, partially mitigating wider economic challenges. Overall, industry revenue is projected to climb at an annualized rate of 1.0% to $217.8 billion over the five years to 2024, although a 12.9% dip is expected in 2024. Evolving consumer preferences, most notably the shift towards low-carbohydrate diets, have led to a decreased demand for wheat, altering its market position and reducing profit for wholesalers. However, wholesalers have seen a boon from the rising demand for plant-based foods, which has spurred an increased need for soybeans. Navigating these shifts while concurrently managing rising costs and changing consumer behaviors has become crucial for wholesalers aiming to succeed in the competitive market. Despite the anticipated challenges that the industry faced, its adaptability and resilience were evident. These qualities will endure, allowing it to navigate through market complexities effectively. Moving forward, the Corn, Wheat and Soybean Wholesaling industry is projected to see a modest annualized revenue increase of 0.2% over the next five years, reaching $212.5 billion by 2029.

This table contains weekly and monthly average prices for different Manitoba crops. Prices are based on weekly surveys of grain buyers' pricing as well as other publicly available market sources. The table contains prices for current and previous years, as well as five-year average weekly and monthly prices. Each weekly dataset contains prices on the sales that occurred from Friday to Thursday. The monthly price represents a simple average of the corresponding weekly prices. For more information on major crops in Manitoba please visit ARD Livestock Markets and Statistics website. This table is used in the Manitoba Crop Prices and Manitoba Crop Prices Current year dashboards. Fields included [Alias (Field name): Field description]

Period (Period): Period of time to be presented on charts from the selection of Monthly and Weekly. PeriodNo (PeriodNo): Serial number of period (1-12 for monthly presentation, 1-52 for weekly presentation) – For weekly presentation, each week contains prices on sales that occurred from Friday to Thursday (e.g., Week 1 of 2021 represents sales between Friday, Jan. 1, 2021 and Thursday, Jan. 7, 2021, with the corresponding report published by the department on Friday, Jan. 8, 2021). For monthly presentation, each month contain a simple average price of weeks, which had more than two days of corresponding month in the period from Monday to Frida (e.g., i.e. if the first day of month is Monday, Tuesday or Wednesday, monthly average includes this week. But if the first day of month is Thursday or Friday, the weekly prices are included in monthly average prices of a pervious month). Crop Category (Crop): Category of grains and oilseeds from the selection of:

Wheat, Northern Hard Red; Wheat, Western Red Spring; Wheat, Red Winter; Wheat, Special Purpose (Low Vomi); Barley, #1CW; Corn, #2; Oats, #2CW; Flaxseed, #1CW; Canola, #1CR; Canola Meal, 34%, Altona; Soybeans; Soymeal, 46%, Wpg; Peas, #2 Yellow; Wheat, Western Red Spring;

Previous Year Price (Previous): Crop price in corresponding period of previous year, in C$ per tonne. Current Year Price (Current): Crop price in corresponding period of current year, in C$ per tonne. 5-Year Average Price (Average5): Crop price in corresponding period averaged over last five years (excluding current year), in C$ per tonne

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 statistic shows the leading countries in soybean production worldwide from 2012/13 to 2024/25. From 2015/16 to 2018/2019, the United States was the leading global producer of soybeans with a production volume of ****** million metric tons in 2018/2019. As of 2019, Brazil overtook the United States as the leading soybean-producing country with a production volume of some *** million metric tons in 2023/24. Soybean production Soybeans are among the major agricultural crops sown in the United States, behind only corn. They belong to the oilseed crops category, and the majority of U.S. soybeans are planted in May and early June and are harvested in late September and October. Production practices show that U.S. farmers commonly cultivate soybeans in crop rotation with corn. More than ** percent of soybeans are grown in the upper Midwest. The United States reported Illinois, Iowa, and Minnesota as their leading soybean producing states in 2022. Historical data demonstrates that large-scale soybean production did not commence until the 20th century in the United States. However, the latest statistics illustrate that the acreage of the dominant oilseed crop has expanded rapidly. The certain increase of soybean acreage was supported by several factors, including low production costs and a greater number of 50-50 corn-soybean rotations. Furthermore, soybeans were one of the first crop types that accomplished commercial success as bioengineered crops. The first genetically modified (GM) soybeans were cultivated in the United States in 1996. They possess a gene that confers herbicide resistance.The usage of soybeans ranges from the animal food industry over human consumption to non-food products. The highest percentage of soybeans goes to the animal feed industry. The product portfolio intended for human consumption include products such as soy milk, soy flour or tofu.

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.

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.

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 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.

This statistic shows the worldwide production of grain in 2024/25, sorted by type. In that year, worldwide wheat production came to about 793.24 million metric tons. The most important grain was corn, based on a production amount of over 1.2 billion metric tons. Grain Humans have been harvesting the small, dry seeds known as grain for thousands of years. The two main categories of grains are cereals, such as wheat, rye, and corn, and legumes, such as beans, lentils, peanuts and soybeans. Many grains are capable of being stored for long periods of time, easily transported over long distances, processed into flour, oil, and gas, and consumed by animals and humans. Most grain in the U.S. is used as animal feed, while slightly less is converted into ethanol. The smallest portion is consumed by humans. There has been recent debate about the health and ethics of grain feeding animals such as cows, goats, and sheep, animals biologically better suited to consuming grass. Though more cost effective than grass feeding, some argue this practice has an adverse effect on the quality of the meat as well as on the health of the animal and the consumer. The use of grains in producing ethanol has increased significantly in recent years. Global ethanol production has tripled since the year 2000. Ethanol is a semi-renewable energy formed by the fermentation of a feedstock, often sugar cane or corn cobs. It can be mixed with gasoline and used as motor vehicle fuel. This hybrid motor fuel emits fewer pollutants than standard gasoline.

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.

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.