Soybeans rose to 1,014 USd/Bu on September 26, 2025, up 0.17% from the previous day. Over the past month, Soybeans's price has fallen 1.29%, and is down 4.86% 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 September of 2025.

Chicago soybean prices have a significant impact on the global soybean market, influencing trading decisions, farming practices, and the broader economy. This article explores the factors that affect soybean prices, including supply and demand dynamics, currency exchange rates, global events, and government policies. Farmers, investors, and industry players rely on tracking and understanding these prices to make informed decisions and mitigate risks.

View monthly updates and historical trends for US Soybean Price. from United States. Source: World Bank. Track economic data with YCharts analytics.

Get statistical data on weekly spot market and forward contract soybean 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 soybean basis * 10-year average for soybean 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 Agribusiness, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

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

An overview of soybean futures trading activity, highlighting volume changes, open interest, and market trends on the Chicago Board of Trade (CBOT).

Learn about Chicago soybean oil futures, an agricultural commodity traded on the Chicago Board of Trade (CBOT). Understand the factors influencing its prices, uses for hedging and speculative trading, and how it allows market participants to manage their exposure to soybean oil prices.

Intraday 1 minute sample data for Soybeans (Globex) ZSE timestamped in Chicago time

Explore how soybean futures quotes on the Chicago Mercantile Exchange (CME) play a crucial role in global agricultural markets, detailing how they help farmers, processors, and traders hedge against price volatility. Learn about the factors influencing futures prices and the importance of settlement prices and open interest in strategic planning and risk management.

Daily sample data for Soybeans (Pit) S timestamped in Chicago time

Get statistical data on weekly spot market and forward contract soybean 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 soybean basis * 10-year average for soybean 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.

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

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.

Explore the complexities influencing soybean prices on the Chicago Board of Trade, including global supply-demand dynamics, weather impacts, and evolving agricultural practices. Understand how reports from the USDA and international trade policies shape this vital commodity market.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This data study contains three-year data from three northern regions of Ghana which were collected to evaluate and demonstrate soybean practices. Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

Intraday 1 minute sample data for Mini-Sized Soybeans - Globex XB timestamped in Chicago time

Corn fell to 421.50 USd/BU on September 26, 2025, down 1.00% from the previous day. Over the past month, Corn's price has risen 10.20%, and is up 0.84% 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 September of 2025.

Explore the factors influencing soybean prices per ton, including weather conditions, trade policies, global demand, and currency exchange rates. Learn about the role of the Chicago Board of Trade in soybean pricing and how developments in agricultural technology can impact the market. Stay informed with real-time data from commodity exchanges to manage risks effectively.

Birds provide ecosystem services (pest control) in many agroecosystems and have neutral or negative ecological effects (disservices) in others. Large-scale, conventional row crop agriculture is extremely widespread globally, yet few studies of bird effects take place in these agroecosystems. We studied indirect effects of insectivorous birds on corn and soybean crops in fields adjacent to a prairie in Illinois (USA). We hypothesized that prairie birds would forage for arthropods in adjacent crop fields and that the magnitude of services or disservices would decrease with distance from the prairie. We used bird-excluding cages over crops to examine the net effect of birds on corn and soybean grain yield. We also conducted DNA metabarcoding to identify arthropod prey in fecal samples from captured birds. Our exclosure experiments revealed that birds provided net services in corn and net disservices in soybeans. Distance from prairie was not a significant predictor of exclosure treatment effect in either crop. Many bird fecal samples contained DNA from both beneficial arthropods and known economically-significant pests of corn, but few economically-significant pests of soybeans. Song Sparrows (Melospiza melodia), one of our most captured species, most commonly consumed corn rootworms, an economically-significant pest of corn crops. We estimated that birds in this system provided a service worth approximately US $275/ha in corn yield gain, and a disservice valued at approximately $348/ha in soybean yield loss. Our study is the first to demonstrate that birds can provide substantial and economically valuable services in field corn, and disservices in soybean crops. The contrasting findings in the two crop systems suggest a range of bird impacts within widespread agro-ecosystems and demonstrate the importance of quantifying net trophic effects.

Methods Exclosure data presented are indices of corn and soybean crop yield from control and bird-exclosure plots in northern Illinois, USA, 2016. Measurements were taken for five plants within each plot. Exclosures were in place for approximately 3.5 months before the crops in exclosures and controls were harvested by hand and measurements taken.

Molecular data includes raw read counts of arthropod OTUs as rows, and bird fecal samples as columns. Each row is an OTU, and the assigned taxonomy is included in the first column. Data have not been normalized by total read counts per sample.