Wheat fell to 529.25 USd/Bu on December 1, 2025, down 0.33% from the previous day. Over the past month, Wheat's price has fallen 2.62%, and is down 1.53% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on December of 2025.

Dataset

This dataset was created by Aadarsh Choudhary

Contents

The wheat price stock market is an important component of the agricultural commodities market, providing a platform for farmers, traders, and investors to manage price risks and hedge against fluctuations in wheat prices. This article discusses the factors influencing the price of wheat, the participants in the wheat price stock market, and the role of commodity exchanges in facilitating trading.

Explore the intricate factors influencing wheat stock prices, from global weather patterns and geopolitical events to changing consumer behaviors and economic indicators. Understand how supply dynamics, exchange rates, and sustainable agriculture practices shape the volatility in the agriculture and commodities markets.

This data product contains statistics on wheat-including the five classes of wheat: hard red winter, hard red spring, soft red winter, white, and durum-and rye. Includes data published in the monthly Wheat Outlook and previously annual Wheat Yearbook. Data are monthly, quarterly, and/or annual depending upon the data series. Most data are on a marketing year basis, but some are calendar year.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: Web page with links to Excel files For complete information, please visit https://data.gov.

Graph and download economic data for Global price of Wheat (PWHEAMTUSDM) from Jan 1990 to Jun 2025 about wheat, World, and price.

This statistic shows the stock prices of selected food commodities from January 2, 2020 to February 6, 2025. After the Russian invasion of Ukraine in February 2022, wheat prices increased significantly since both Russia and Ukraine are the key suppliers of the product. With the beginning of 2023, prices of selected food commodities started to decrease, but still stood higher than early-2020 levels.

Explore the various factors influencing wheat stock prices, including supply and demand dynamics, geopolitical events, weather conditions, policy regulations, and financial market sentiments. This article provides insight into the complexities impacting wheat markets and highlights the importance of accurate market data sourcing.

A "spread" can have multiple meanings, but it generally implies a difference between two comparable measures. These can be differences across space, across time, or across anything with a similar attribute. For example, in the stock market, there is a spread between the highest price a buyer is willing to pay and the lowest price a seller is willing to accept.

In this dataset, spread refers to differences in prices between two locations, an origin (e.g., Illinois, Iowa, etc.) and a destination (e.g., Louisiana Gulf, Pacific Northwest, etc.). Mathematically, it is the destination price minus the origin price.

Price spreads are closely linked to transportation. They tend to reflect the costs of moving goods from one point to another, all else constant. Fluctuations in spreads can change the flow of goods (where it may be more profitable to ship to a different location), as well as indicate changes in transportation availability (e.g., disruptions). For more information on how price spreads are linked to transportation, see the story, "Grain Prices, Basis, and Transportation" (https://agtransport.usda.gov/stories/s/sjmk-tkh6).

This is one of three companion datasets. The other two are grain prices (https://agtransport.usda.gov/d/g92w-8cn7) and grain basis (https://agtransport.usda.gov/d/v85y-3hep). 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, and there needs to be both an origin and a destination to have a price spread).

The origin and destination prices come from the grain prices dataset.

Learn about the various factors that influence the wheat stock market price, including supply and demand dynamics, weather conditions, government policies, and global economic trends. Discover why the wheat market is highly volatile and how farmers, traders, and investors can manage the risks associated with wheat price fluctuations.

The decline in revenue for industry farmers during the current period has primarily been driven by high global stocks and fierce international competition, compounded by climate volatility and challenging trade dynamics. High stocks of wheat and coarse grains are pressuring prices downward despite record domestic food use and demand for animal feed. Intense export competition from regions like the EU, Russia and Canada exacerbates this issue, making it difficult for US producers to maintain profit. Compounding the problem are climate and weather volatility, with increased instances of droughts and heat waves reducing yields and hindering production. Trade headwinds, including retaliatory tariffs and a strong US dollar, are also constraining exports, diminishing the competitiveness of US grain globally. Overall, industry revenue has dropped at a CAGR of 1.2% since 2020 to reach an expected $13.2 billion after a decrease of 6.3% in 2025. In addition to these external pressures, input costs remain a significant challenge for industry farmers. The persistently strong prices for fertilizers, pesticides and seeds, alongside increased agricultural wages and labor shortages, have elevated production expenses, straining profit as grain prices drop. Smaller and mid-sized farms are particularly affected, facing negative returns and low cash receipts. Some operations may be forced into consolidation if they are unable to absorb high costs. While some input prices, such as fuel and agrochemicals, have eased from huge spikes earlier in the current period, overall expenses continue to surpass commodity prices, eroding financial stability and forcing many producers to seek USDA program assistance to mitigate these challenges. Looking ahead, the wheat, barley, sorghum, oats and rye farming sector is expected to gradually recover as global stocks stabilize and demand grows, expanding at a CAGR of 0.9% to reach $13.8 billion in 2030. Easing supply chain disruptions and stabilizing input costs are expected to support this recovery. Future weakening of the US dollar stands to improve export competitiveness, offering some optimism for US producers. However, the recovery will vary across segments, with those benefiting from strong domestic demand or value-added products rebounding more quickly than those reliant on bulk exports.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

TR/CC CRB Wheat index outlook uncertain ahead of planting season.

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

India has pursued an active food security policy for many years by using a combination of trade policy interventions, public distribution of food staples, and assistance to farmers through minimum support prices defended by public stocks. This approach has been quite successful in stabilizing staple food prices, but comes at a high cost, and with potential risks of unmanageable stock accumulation. Based on a rational expectations storage model representing the Indian wheat market and its relation to the rest of the world, we analyse the cost and welfare implications of this policy, and unpack the contribution of its various elements. To analyse alternative policies, we assume that social welfare includes an objective of price stabilization and assess optimal policies corresponding to this objective. We consider fully optimal policies under commitment as well as optimal simple rules, and show that adopting simple rules can achieve most of the gains from fully optimal policies.

The wheat price in the stock market is subject to various factors such as supply and demand dynamics, government regulations, global economic conditions, currency fluctuations, weather conditions, and political instability. Understanding these factors is crucial for market participants and investors to make informed decisions regarding wheat trading and investment strategies.

In the current period, the Canadian wheat farming industry has seen revenue decrease at a CAGR of 0.9% since 2020, reaching an estimated $14.1 billion after a drop of 1.2% in 2025. Wheat prices have been persistently driven down since peaking in 2021 and 2022, pushed down by robust production levels from regions like the Black Sea that have driven up global wheat stocks and devalued Canadian supplies. Demand, however, remains strong, particularly for high-quality durum wheat, which has enjoyed better premiums and yield improvements in recent years. This trend has led farms to increase acreage of durum varieties while reducing production of other wheat types. Input cost volatility has become increasingly burdensome, now accounting for a larger share of overall farm revenue. The prices of fertilizers and pesticides have remained elevated despite slight eases since 2022, while machinery and financing costs continue to exert financial pressure. The ability to pass on these increased costs to consumers has been limited by high world wheat supplies, curbing average industry profit recovery since it began to decline after 2023's price drops. Climate change and extreme weather events pose additional challenges by increasing the need for inputs to combat soil degradation and heightening pest and disease threats, compounding input expense pressures for farmers. Looking ahead, revenue is projected to grow at a CAGR of 1.0% to $14.8 billion in 2030. This growth will largely depend on reestablishing balanced stocks-to-use ratios and recovering prices, although current global production levels are not supportive of price increases in the short term. The continued growth of export markets in Asia, including Japan and Indonesia, will be particularly important for soaking up global production. Meanwhile, climate change will pose ongoing threats to both revenue and production, as it introduces variability in weather patterns that could disrupt planting and harvest schedules. Labour shortages also remain a critical issue, constraining planting, harvesting and overall production capacity if not addressed. To bolster long-term growth and protect profit in the near future, investments in climate resilience, labour access and precision agriculture methods are essential.

In Q3 2025, India, the Wheat Starch Price Index fell by 1.26% quarter-over-quarter, reflecting abundant wheat stocks and weak demand. Check detailed insights for Europe and North America.

Wheat export shares (percentage).

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.

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Ukraine and Russia are major exporters of agricultural commodities, including wheat, corn, sunflower oil, and fertilizer. Together, they account for about 30% of the world's wheat exports, 60% of the world's sunflower oil exports, and 20% of the world's corn exports. The war in Ukraine has disrupted global food supplies, as Ukrainian ports have been blocked and Russian exports have been sanctioned. This has led to rising food prices and concerns about food shortages in some countries. The United Nations has warned that the war could have a "devastating impact" on global food security. Here are some specific examples of how the war in Ukraine has affected global food supplies:

Wheat prices have risen by more than 50% since the start of the war. Sunflower oil prices have doubled. The price of corn has risen by about 30%. The price of fertilizer has risen by more than 100%.

Data Dictionary

Stock Price Time Series for Bunge Limited. Bunge Global SA operates as an agribusiness and food company worldwide. It operates through four segments: Agribusiness, Refined and Specialty Oils, Milling, and Sugar and Bioenergy. The Agribusiness segment purchases, stores, transports, processes, and sells agricultural commodities and commodity products, including oilseeds primarily soybeans, rapeseed, canola, and sunflower seeds, as well as grains comprising wheat and corn; and processes oilseeds into vegetable oils and protein meals. This segment offers its products for animal feed manufacturers, livestock producers, wheat and corn millers, and other oilseed processors, as well as third-party edible oil processing and biofuel companies for biofuel production applications. The Refined and Specialty Oils segment sells packaged and bulk oils and fats that comprise cooking oils, shortenings, margarines, mayonnaise, renewable diesel feedstocks, and other products for baked goods companies, snack food producers, confectioners, restaurant chains, foodservice operators, infant nutrition companies, and other food manufacturers, as well as grocery chains, wholesalers, distributors, and other retailers. This segment also refines and fractionates palm oil, palm kernel oil, coconut oil, and shea butter, and olive oil; and produces specialty ingredients derived from vegetable oils, such as lecithin. The Milling segment provides wheat flours and bakery mixes; corn milling products that comprise dry-milled corn meals and flours, wet-milled masa and flours, and flaking and brewer's grits, as well as soy-fortified corn meal, corn-soy blends, and other products; whole grain and fiber ingredients; die-cut pellets; and non-GMO products. The Sugar and Bioenergy segment produces sugar and ethanol; and generates electricity from burning sugarcane bagasse. Bunge Global SA was founded in 1818 and is headquartered in Chesterfield, Missouri.