Soybeans Monthly Price - Euro per Metric Ton

Data as of March 2026

Range
May 2016 - Mar 2026: 35.459 (9.50%)
Chart

Description: Soybeans (US), c.i.f. Rotterdam

Unit: Euro per Metric Ton



Source: ISTA Mielke GmbH, Oil World; US Department of Agriculture; World Bank.

See also: Agricultural production statistics

See also: Top commodity suppliers

See also: Commodities glossary - Definitions of terms used in commodity trading

Overview

Soybeans are an oilseed crop traded internationally both as a raw agricultural commodity and as a source of two principal processed products: soybean meal and soybean oil. On commodity markets, soybeans are commonly priced in US dollars per metric ton, with physical trade often referenced to export or import benchmarks such as soybeans, US, No. 1, Yellow, CIF Rotterdam. The crop is valued for its dual-use economics: the crushed bean yields protein-rich meal for animal feed and oil for food, industrial uses, and biodiesel feedstock. Because the bean is bulky and relatively low in unit value compared with its processed products, transportation, storage, and crushing margins are central to pricing relationships. Soybeans are also a key benchmark within the broader oilseed complex, linking grain markets, vegetable oil markets, and livestock feed markets. Their market structure reflects the interaction of harvest timing, global trade flows, processing capacity, and substitution with other oilseeds such as rapeseed, sunflowerseed, and palm oil.

Supply Drivers

Soybean supply is shaped by a small number of large producing regions with favorable growing conditions, especially the United States, Brazil, Argentina, China, and parts of the Black Sea and South American agricultural belts. The crop requires a warm growing season and is sensitive to moisture availability during flowering and pod filling, so rainfall patterns and temperature extremes strongly affect yields. Because soybeans are an annual crop, supply responds to planting decisions, weather during the growing season, and harvest conditions rather than to long-lived mine or well depletion cycles. This creates a recurring seasonal pattern in availability and export flow.

Production is also constrained by land competition with corn, wheat, and other crops, since farmers allocate acreage based on relative returns and agronomic rotation needs. In South America, logistics matter greatly: inland transport, river levels, port capacity, and crushing infrastructure influence how quickly beans move from farm to export channels. Storage and handling losses are lower than for many perishables, but quality can still be affected by moisture, heat, and delayed shipment. Disease pressure, pests, and soil fertility management also shape output over time. Because crushing capacity links bean supply to meal and oil production, local processing economics can redirect beans between export and domestic use.

Demand Drivers

Soybean demand is driven by two linked end uses: protein meal for animal feed and vegetable oil for food and industrial consumption. Soybean meal is a core input in poultry, hog, dairy, and aquaculture rations because it provides a concentrated and relatively consistent protein source. This makes soybean demand closely tied to livestock production, feed formulation, and the availability of substitute meals such as rapeseed meal, sunflower meal, and cottonseed meal. Soybean oil competes with other vegetable oils in food processing, frying, margarine, and industrial applications, and it can also be diverted into biofuel production where such markets exist.

Demand is partly seasonal because feed use follows livestock cycles and food oil demand often rises around holiday and cooking seasons in many regions. However, the larger structural driver is population growth, rising meat consumption, and the expansion of processed food systems, all of which increase demand for protein meal and edible oils. Crushing margins matter because they determine whether buyers prefer whole beans or processed products. Trade flows are also influenced by the relative prices of competing oilseeds and oils: when one oilseed becomes expensive, crushers and feed formulators often substitute toward alternatives. In this way, soybeans sit at the center of a broader protein-and-oil complex rather than functioning as a standalone agricultural product.

Macro and Financial Drivers

Soybeans are sensitive to the US dollar because international trade is commonly denominated in dollars, so a stronger dollar can make dollar-priced soybeans more expensive for non-US buyers. Interest rates matter through inventory financing and storage costs: holding physical beans ties up capital, so higher financing costs can pressure nearby prices relative to deferred delivery. Soybeans also exhibit classic agricultural seasonality, with prices often reflecting the balance between harvest-time supply and later consumption needs, which can shape contango or backwardation in futures markets.

Because soybeans are storable but not indefinitely so, the market reflects both physical carrying costs and expectations about future availability. They also tend to correlate with broader grain and oilseed sentiment, especially when weather risk affects multiple crops at once. Inflation can influence nominal prices for agricultural commodities, but the stronger mechanism is usually the interaction of currency values, freight costs, and global feed demand rather than a pure inflation-hedge role.

MonthPriceChange
May 2016373.35-
Jun 2016407.389.12%
Jul 2016389.60-4.37%
Aug 2016367.64-5.64%
Sep 2016359.83-2.13%
Oct 2016364.731.36%
Nov 2016367.670.81%
Dec 2016394.707.35%
Jan 2017387.90-1.72%
Feb 2017370.68-4.44%
Mar 2017359.13-3.12%
Apr 2017361.530.67%
May 2017352.70-2.44%
Jun 2017337.16-4.41%
Jul 2017356.185.64%
Aug 2017332.76-6.57%
Sep 2017330.65-0.64%
Oct 2017337.292.01%
Nov 2017335.92-0.41%
Dec 2017327.10-2.63%
Jan 2018319.46-2.34%
Feb 2018337.235.57%
Mar 2018348.673.39%
Apr 2018357.682.58%
May 2018364.091.79%
Jun 2018337.77-7.23%
Jul 2018322.71-4.46%
Aug 2018326.271.10%
Sep 2018306.04-6.20%
Oct 2018320.424.70%
Nov 2018329.102.71%
Dec 2018334.421.62%
Jan 2019334.840.13%
Feb 2019335.030.06%
Mar 2019326.95-2.41%
Apr 2019320.20-2.07%
May 2019303.84-5.11%
Jun 2019317.854.61%
Jul 2019329.543.68%
Aug 2019324.40-1.56%
Sep 2019332.632.53%
Oct 2019345.293.81%
Nov 2019339.69-1.62%
Dec 2019338.41-0.38%
Jan 2020348.673.03%
Feb 2020344.36-1.24%
Mar 2020336.91-2.16%
Apr 2020332.47-1.32%
May 2020329.49-0.90%
Jun 2020328.39-0.33%
Jul 2020331.991.10%
Aug 2020325.12-2.07%
Sep 2020359.2010.48%
Oct 2020385.817.41%
Nov 2020422.659.55%
Dec 2020420.62-0.48%
Jan 2021473.3612.54%
Feb 2021478.060.99%
Mar 2021492.262.97%
Apr 2021498.511.27%
May 2021532.666.85%
Jun 2021510.29-4.20%
Jul 2021508.01-0.45%
Aug 2021497.64-2.04%
Sep 2021474.28-4.69%
Oct 2021475.710.30%
Nov 2021482.171.36%
Dec 2021490.481.72%
Jan 2022536.039.29%
Feb 2022583.378.83%
Mar 2022653.9912.11%
Apr 2022666.181.86%
May 2022685.122.84%
Jun 2022697.521.81%
Jul 2022667.24-4.34%
Aug 2022662.69-0.68%
Sep 2022671.141.27%
Oct 2022636.75-5.12%
Nov 2022637.610.13%
Dec 2022610.54-4.25%
Jan 2023581.80-4.71%
Feb 2023607.614.44%
Mar 2023587.01-3.39%
Apr 2023560.69-4.49%
May 2023547.19-2.41%
Jun 2023546.27-0.17%
Jul 2023572.394.78%
Aug 2023535.30-6.48%
Sep 2023579.768.31%
Oct 2023501.30-13.53%
Nov 2023511.972.13%
Dec 2023503.62-1.63%
Jan 2024502.04-0.31%
Feb 2024481.45-4.10%
Mar 2024448.39-6.87%
Apr 2024444.94-0.77%
May 2024453.471.92%
Jun 2024445.88-1.67%
Jul 2024432.96-2.90%
Aug 2024363.39-16.07%
Sep 2024352.28-3.06%
Oct 2024405.4815.10%
Nov 2024409.571.01%
Dec 2024390.00-4.78%
Jan 2025396.651.71%
Feb 2025395.96-0.18%
Mar 2025371.20-6.25%
Apr 2025363.61-2.05%
May 2025367.371.03%
Jun 2025360.91-1.76%
Jul 2025351.38-2.64%
Aug 2025349.93-0.41%
Sep 2025344.30-1.61%
Oct 2025347.070.81%
Nov 2025385.7211.14%
Dec 2025375.80-2.57%
Jan 2026363.55-3.26%
Feb 2026388.586.88%
Mar 2026408.815.21%

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