Soybeans Monthly Price - Russian Ruble per Metric Ton

Data as of March 2026

Range
May 2003 - Apr 2013: 9,940.693 (128.61%)
Chart

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

Unit: Russian Ruble 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 20037,729.20-
Jun 20037,282.76-5.78%
Jul 20036,982.53-4.12%
Aug 20037,193.513.02%
Sep 20038,078.2312.30%
Oct 20039,342.0415.64%
Nov 20039,744.854.31%
Dec 20039,771.190.27%
Jan 200410,086.523.23%
Feb 200410,493.914.04%
Mar 200411,780.3912.26%
Apr 200410,292.95-12.63%
May 20049,163.53-10.97%
Jun 20048,564.44-6.54%
Jul 20048,114.94-5.25%
Aug 20047,743.49-4.58%
Sep 20047,597.26-1.89%
Oct 20047,235.27-4.76%
Nov 20047,431.372.71%
Dec 20047,389.74-0.56%
Jan 20057,325.72-0.87%
Feb 20057,299.07-0.36%
Mar 20058,017.669.84%
Apr 20057,869.73-1.85%
May 20057,912.320.54%
Jun 20058,724.6410.27%
Jul 20058,551.88-1.98%
Aug 20057,805.68-8.73%
Sep 20057,463.97-4.38%
Oct 20057,340.34-1.66%
Nov 20057,359.920.27%
Dec 20057,604.723.33%
Jan 20067,255.99-4.59%
Feb 20067,245.76-0.14%
Mar 20067,158.64-1.20%
Apr 20067,109.89-0.68%
May 20067,193.831.18%
Jun 20067,204.960.15%
Jul 20067,314.321.52%
Aug 20067,010.60-4.15%
Sep 20066,900.76-1.57%
Oct 20067,333.686.27%
Nov 20067,980.268.82%
Dec 20067,806.33-2.18%
Jan 20078,118.244.00%
Feb 20078,554.725.38%
Mar 20078,406.84-1.73%
Apr 20078,249.72-1.87%
May 20078,624.104.54%
Jun 20079,355.958.49%
Jul 20079,590.622.51%
Aug 20079,866.482.88%
Sep 200710,750.448.96%
Oct 200711,198.924.17%
Nov 200711,957.496.77%
Dec 200712,385.553.58%
Jan 200812,945.994.52%
Feb 200814,066.778.66%
Mar 200813,264.77-5.70%
Apr 200812,914.78-2.64%
May 200813,432.404.01%
Jun 200815,005.8911.71%
Jul 200814,878.77-0.85%
Aug 200813,479.67-9.40%
Sep 200813,281.28-1.47%
Oct 200810,569.14-20.42%
Nov 200810,171.70-3.76%
Dec 200810,127.89-0.43%
Jan 200913,162.0329.96%
Feb 200913,410.701.89%
Mar 200912,892.72-3.86%
Apr 200913,003.670.86%
May 200913,598.894.58%
Jun 200913,730.020.96%
Jul 200913,569.88-1.17%
Aug 200915,762.9216.16%
Sep 200913,079.03-17.03%
Oct 200912,661.22-3.19%
Nov 200912,935.412.17%
Dec 200913,497.964.35%
Jan 201012,996.04-3.72%
Feb 201012,425.25-4.39%
Mar 201012,099.25-2.62%
Apr 201011,749.41-2.89%
May 201012,289.994.60%
Jun 201012,521.051.88%
Jul 201013,105.184.67%
Aug 201013,675.284.35%
Sep 201014,425.305.48%
Oct 201015,041.234.27%
Nov 201015,906.045.75%
Dec 201016,837.535.86%
Jan 201117,014.491.05%
Feb 201116,574.19-2.59%
Mar 201115,716.99-5.17%
Apr 201115,619.55-0.62%
May 201115,551.23-0.44%
Jun 201115,564.150.08%
Jul 201115,537.29-0.17%
Aug 201115,900.022.33%
Sep 201116,374.352.98%
Oct 201115,360.72-6.19%
Nov 201114,741.82-4.03%
Dec 201115,219.333.24%
Jan 201215,697.623.14%
Feb 201215,594.93-0.65%
Mar 201216,060.702.99%
Apr 201217,221.417.23%
May 201217,776.153.22%
Jun 201219,011.736.95%
Jul 201221,797.9814.66%
Aug 201221,866.070.31%
Sep 201221,278.07-2.69%
Oct 201219,457.33-8.56%
Nov 201218,372.85-5.57%
Dec 201218,186.73-1.01%
Jan 201318,000.21-1.03%
Feb 201318,427.742.38%
Mar 201318,013.43-2.25%
Apr 201317,669.89-1.91%

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