Soybeans Monthly Price - Forint per Metric Ton

Data as of March 2026

Range
Apr 2011 - Jan 2019: 5,303.344 (5.19%)
Chart

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

Unit: Forint 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 2011102,176.10-
May 2011103,447.101.24%
Jun 2011103,075.30-0.36%
Jul 2011104,419.401.30%
Aug 2011104,897.700.46%
Sep 2011110,219.805.07%
Oct 2011106,424.50-3.44%
Nov 2011109,034.602.45%
Dec 2011111,522.402.28%
Jan 2012119,477.307.13%
Feb 2012114,868.90-3.86%
Mar 2012120,965.905.31%
Apr 2012131,182.608.45%
May 2012132,097.400.70%
Jun 2012135,477.802.56%
Jul 2012156,291.2015.36%
Aug 2012153,751.20-1.63%
Sep 2012149,489.20-2.77%
Oct 2012136,049.30-8.99%
Nov 2012129,126.60-5.09%
Dec 2012128,621.60-0.39%
Jan 2013131,569.302.29%
Feb 2013133,558.801.51%
Mar 2013136,785.402.42%
Apr 2013129,427.90-5.38%
May 2013112,258.20-13.27%
Jun 2013117,646.904.80%
Jul 2013115,160.10-2.11%
Aug 2013115,081.50-0.07%
Sep 2013125,876.209.38%
Oct 2013116,970.90-7.07%
Nov 2013121,677.904.02%
Dec 2013123,937.101.86%
Jan 2014125,452.501.22%
Feb 2014111,482.10-11.14%
Mar 2014119,706.507.38%
Apr 2014114,854.20-4.05%
May 2014115,096.600.21%
Jun 2014115,044.00-0.05%
Jul 2014107,891.20-6.22%
Aug 2014108,050.600.15%
Sep 2014104,435.00-3.35%
Oct 2014103,389.00-1.00%
Nov 2014110,729.107.10%
Dec 2014112,796.901.87%
Jan 2015118,084.404.69%
Feb 2015114,515.00-3.02%
Mar 2015114,805.100.25%
Apr 2015109,749.50-4.40%
May 2015106,499.40-2.96%
Jun 2015108,975.602.33%
Jul 2015114,889.005.43%
Aug 2015105,978.50-7.76%
Sep 2015102,342.70-3.43%
Oct 2015104,174.801.79%
Nov 2015106,891.802.61%
Dec 2015106,471.30-0.39%
Jan 2016108,102.701.53%
Feb 2016104,530.80-3.30%
Mar 2016106,855.302.22%
Apr 2016108,561.001.60%
May 2016117,401.908.14%
Jun 2016127,671.208.75%
Jul 2016122,512.90-4.04%
Aug 2016114,111.70-6.86%
Sep 2016111,088.40-2.65%
Oct 2016111,895.600.73%
Nov 2016113,525.701.46%
Dec 2016123,062.108.40%
Jan 2017119,840.10-2.62%
Feb 2017114,368.30-4.57%
Mar 2017111,160.50-2.80%
Apr 2017112,526.601.23%
May 2017109,410.50-2.77%
Jun 2017104,000.40-4.94%
Jul 2017109,319.205.11%
Aug 2017101,196.20-7.43%
Sep 2017101,973.200.77%
Oct 2017104,429.802.41%
Nov 2017104,694.000.25%
Dec 2017102,482.50-2.11%
Jan 201898,896.99-3.50%
Feb 2018105,012.506.18%
Mar 2018108,942.603.74%
Apr 2018111,456.802.31%
May 2018115,112.503.28%
Jun 2018109,006.30-5.30%
Jul 2018104,812.30-3.85%
Aug 2018105,342.700.51%
Sep 201899,345.84-5.69%
Oct 2018103,761.604.44%
Nov 2018106,212.202.36%
Dec 2018107,926.901.61%
Jan 2019107,479.50-0.41%

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