Soybeans Monthly Price - Bolivar Fuerte per Metric Ton

Data as of March 2026

Range
Apr 2011 - Aug 2018: 79,877,620.000 (3,345,885.00%)
Chart

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

Unit: Bolivar Fuerte 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
Apr 20112,387.34-
May 20112,388.280.04%
Jun 20112,385.79-0.10%
Jul 20112,387.000.05%
Aug 20112,371.81-0.64%
Sep 20112,281.69-3.80%
Oct 20112,107.85-7.62%
Nov 20112,051.79-2.66%
Dec 20112,071.860.98%
Jan 20122,158.294.17%
Feb 20122,243.133.93%
Mar 20122,348.224.68%
Apr 20122,504.226.64%
May 20122,476.99-1.09%
Jun 20122,479.260.09%
Jul 20122,874.6515.95%
Aug 20122,933.972.06%
Sep 20122,905.23-0.98%
Oct 20122,684.07-7.61%
Nov 20122,507.48-6.58%
Dec 20122,536.221.15%
Jan 20132,553.420.68%
Feb 20133,296.4629.10%
Mar 20133,674.3711.46%
Apr 20133,543.54-3.56%
May 20133,129.59-11.68%
Jun 20133,244.743.68%
Jul 20133,213.11-0.97%
Aug 20133,215.690.08%
Sep 20133,520.289.47%
Oct 20133,398.81-3.45%
Nov 20133,464.611.94%
Dec 20133,544.482.31%
Jan 20143,553.720.26%
Feb 20143,083.85-13.22%
Mar 20143,335.728.17%
Apr 20143,243.78-2.76%
May 20143,264.140.63%
Jun 20143,212.11-1.59%
Jul 20142,964.51-7.71%
Aug 20142,881.75-2.79%
Sep 20142,703.27-6.19%
Oct 20142,675.88-1.01%
Nov 20142,827.265.66%
Dec 20142,817.33-0.35%
Jan 20152,722.38-3.37%
Feb 20152,661.67-2.23%
Mar 20152,575.20-3.25%
Apr 20152,480.56-3.68%
May 20152,439.53-1.65%
Jun 20152,460.140.84%
Jul 20152,550.573.68%
Aug 20152,380.33-6.67%
Sep 20152,309.38-2.98%
Oct 20152,362.552.30%
Nov 20152,312.59-2.11%
Dec 20152,315.230.11%
Jan 20162,344.511.26%
Feb 20162,348.720.18%
Apr 20163,941.5267.82%
May 20164,214.946.94%
Jun 20164,562.578.25%
Jul 20164,300.02-5.75%
Aug 20164,111.40-4.39%
Sep 20164,025.21-2.10%
Oct 20164,008.65-0.41%
Nov 20163,967.66-1.02%
Dec 20164,150.304.60%
Jan 20174,109.70-0.98%
Feb 20173,935.44-4.24%
Mar 20173,827.21-2.75%
Apr 20173,864.710.98%
May 20173,887.460.59%
Jun 20173,776.44-2.86%
Jul 20174,092.048.36%
Aug 20173,918.88-4.23%
Sep 20173,929.650.27%
Oct 20173,955.290.65%
Nov 20173,928.65-0.67%
Dec 20173,861.82-1.70%
Jan 20183,885.560.61%
Feb 20188,061,871.00207,382.80%
Mar 201816,540,430.00105.17%
Apr 201825,247,160.0052.64%
May 201831,493,240.0024.74%
Jun 201832,735,360.003.94%
Jul 201847,447,610.0044.94%
Aug 201879,880,000.0068.35%

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