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.

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.

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.

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.

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.

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 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.

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.

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.

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).

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

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.

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.

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 that influence grain market prices and how they can vary widely for common grains like corn, wheat, soybeans, and oats. Understand how the futures market plays a role and why it's crucial to stay informed to make informed buying and selling decisions.

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.

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.

The US crop services industry is currently navigating a period of growth in response to several key market dynamics, particularly within the agricultural sector. The rising demand for organic crops, driven by consumers seeking sustainable, chemical-free food options, is increasing revenue for service providers offering specialized support for organic farming practices. Meanwhile, in the broader crop market, there are mixed impacts. Wheat prices have seen an upward trend due to reduced yields in the EU and export restrictions from Russia, prompting wheat growers to increase investment in soil preparation and crop spraying services, thereby boosting demand. Conversely, the crop markets for corn and soybeans have faced pressure from increased production in Brazil, pressuring prices and encouraging growers to save on costs, tempering otherwise solid service revenue growth. Overall, industry revenue has increased at a CAGR of 0.1% in the current period, reaching $36.0 billion after a drop of 2.1% in 2025. Labor costs significantly influence the crop services industry, as agricultural wages have outpaced those in non-farm sectors due to a shortage of skilled workers. This increase in labor expenses, compounded by restrictive immigration policies, poses a challenge to maintaining profitability. Although revenue has risen, profit has declined as many service providers find it difficult to transfer rising wages and high purchase costs to their clients, who are themselves contending with reduced crop receipts. The pressure of keeping service prices competitive amid rising operational costs is forcing providers to implement cost-control measures such as mechanization and worker training programs to sustain profitability and continue delivering essential services to the agricultural sector. Looking ahead, the crop services industry is bracing for a period of revenue declines amid challenges in sustaining profit. With record-level crop yields forecasted through 2025, there will be increased opportunities for agricultural services to enhance harvesting efficiency and optimize yields. However, these production gains will also push crop prices downwards due to heightened global stock levels, greatly constraining farmers' spending on industry services and leading to declining revenues. Beyond 2025, planted acreage is expected to taper off, though crop prices will remain low as well, depressed by increasing international competition. Additionally, climate change and sustainability initiatives are expected to play critical roles in providing new sources of demand for adaptive and resilient farming solutions. Service providers focusing on innovation and aligning with these emerging needs—particularly within sustainable practices—can position themselves as essential partners and better weather the negative effects that dropping crop prices will have. Industry revenue is estimated to decrease at a CAGR of 1.6% to reach $33.3 billion in 2030.