Soybean Oil Monthly Price - Russian Ruble per Metric Ton

Data as of March 2026

Range
May 2003 - Apr 2013: 17,317.430 (101.98%)
Chart

Description: Soybean oil (Any origin), crude, f.o.b. ex-mill Netherlands

Unit: Russian Ruble per Metric Ton



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

See also: Soybean Oil production statistics

See also: Top commodity suppliers

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

Overview

Soybean oil is a vegetable oil extracted from soybeans and traded on commodity markets as a refined or crude edible oil, with the benchmark often quoted in US dollars per metric ton. A common reference point is soybean oil, crude, FOB ex-mill Illinois, which reflects pricing at a major processing and export corridor in the United States. The oil is produced as part of the soybean crushing process, alongside soybean meal, so its market is closely linked to the economics of oilseed processing rather than to oilseed farming alone.

Soybean oil is used primarily in food applications such as cooking oil, frying oil, margarine, shortening, and processed foods. It also serves as a feedstock for industrial uses, including soaps, lubricants, and biodiesel. Because it is one of the principal edible oils in global trade, its price is influenced by competition with other vegetable oils and by the balance between food, feed, and industrial demand. Its market structure reflects the dual nature of soybeans as both an oil source and a protein meal source.

Supply Drivers

Supply is shaped first by soybean production, because soybean oil is a co-product of crushing beans into oil and meal. The main producing regions are the United States, Brazil, Argentina, China, and parts of the European and Asian oilseed belt, where climate, soil quality, and farm infrastructure support large-scale soybean cultivation. Output depends on planting decisions, weather during the growing season, and harvest conditions. Soybeans are an annual crop, so supply responds each crop cycle rather than through continuous extraction.

Weather sensitivity is a central feature. Drought, excessive rainfall, heat stress, and frost can affect yields and oil content, while pests and plant disease can reduce harvested volumes or raise production costs. Because crushing capacity, rail links, river transport, ports, and storage facilities shape the movement of beans and oil, logistical bottlenecks can influence local basis levels and export availability. In South America, transport from inland growing areas to coastal export terminals is often a key constraint.

Supply also depends on the economics of crushing. Crushers respond to the relative value of soybean oil and soybean meal, so changes in one co-product affect the incentive to process beans. This makes soybean oil supply partly a function of meal demand, not only edible oil demand. Inventory carryover, refinery capacity, and the availability of competing vegetable oils also affect how quickly supply reaches end users.

Demand Drivers

Demand comes from both food and industrial uses. In food markets, soybean oil is valued for its neutral flavor, broad availability, and suitability for frying, baking, and processed foods. It is widely used by food manufacturers because it blends well with other ingredients and has a relatively stable supply chain. Household cooking demand is important in many countries, while industrial food processing creates large, steady offtake tied to population growth and urbanization.

A major structural demand channel is biodiesel and other renewable fuel uses, where soybean oil competes with other feedstocks such as rapeseed oil, palm oil, and used cooking oil. This link ties soybean oil demand to energy markets and to policy frameworks that encourage liquid biofuels. In addition, soybean oil competes with palm oil, sunflower oil, canola oil, and animal fats in both food and industrial applications, so substitution is a major price mechanism. When one vegetable oil becomes relatively expensive, buyers often switch to another where formulation and logistics allow.

Seasonality matters because food and fuel demand can vary with weather, holidays, and agricultural processing cycles, but the larger driver is the long-run expansion of edible oil consumption with income growth and population growth. In many markets, soybean oil demand is also influenced by the protein meal market indirectly, because crushing economics determine how much oil is available.

Macro and Financial Drivers

Soybean oil prices are sensitive to the US dollar because the commodity is globally traded and priced in dollars. A stronger dollar can make dollar-denominated oils more expensive for non-US buyers, while a weaker dollar can support import demand. Interest rates matter through inventory financing and storage costs: higher carrying costs tend to discourage stockholding and can alter the shape of futures curves. Like other storable agricultural commodities, soybean oil can move between contango and backwardation depending on nearby supply tightness, harvest timing, and storage economics.

The commodity also responds to broader inflation and energy-market conditions. Because vegetable oils are used in biofuels and food processing, soybean oil can show linkage to crude oil and diesel markets through substitution and blending economics. Futures market positioning, crush margins, and cross-commodity spreads between soybean oil, soybean meal, and soybeans are important for hedgers and processors. The market is therefore shaped by both physical supply-demand balances and financial relationships across related agricultural and energy contracts.

MonthPriceChange
May 200316,980.74-
Jun 200316,633.04-2.05%
Jul 200316,132.98-3.01%
Aug 200315,652.41-2.98%
Sep 200317,075.049.09%
Oct 200318,330.297.35%
Nov 200318,792.952.52%
Dec 200318,758.33-0.18%
Jan 200418,932.980.93%
Feb 200419,450.232.73%
Mar 200419,665.261.11%
Apr 200419,334.06-1.68%
May 200418,209.90-5.81%
Jun 200416,889.08-7.25%
Jul 200417,599.234.20%
Aug 200417,668.310.39%
Sep 200417,578.90-0.51%
Oct 200416,954.65-3.55%
Nov 200416,040.04-5.39%
Dec 200415,394.64-4.02%
Jan 200514,566.84-5.38%
Feb 200513,863.47-4.83%
Mar 200515,031.458.42%
Apr 200515,179.960.99%
May 200515,041.24-0.91%
Jun 200515,970.936.18%
Jul 200516,106.810.85%
Aug 200515,670.62-2.71%
Sep 200515,471.70-1.27%
Oct 200516,526.326.82%
Nov 200516,084.78-2.67%
Dec 200515,487.70-3.71%
Jan 200615,128.31-2.32%
Feb 200615,034.82-0.62%
Mar 200615,058.200.16%
Apr 200614,893.29-1.10%
May 200615,910.006.83%
Jun 200616,205.761.86%
Jul 200616,957.104.64%
Aug 200616,915.87-0.24%
Sep 200616,111.14-4.76%
Oct 200616,513.132.50%
Nov 200617,973.428.84%
Dec 200618,349.332.09%
Jan 200718,500.290.82%
Feb 200718,821.441.74%
Mar 200718,772.57-0.26%
Apr 200719,445.863.59%
May 200720,364.764.73%
Jun 200721,654.756.33%
Jul 200722,657.884.63%
Aug 200723,622.934.26%
Sep 200724,667.464.42%
Oct 200725,077.861.66%
Nov 200727,913.5211.31%
Dec 200729,188.454.57%
Jan 200831,359.427.44%
Feb 200834,655.8410.51%
Mar 200835,335.841.96%
Apr 200833,450.11-5.34%
May 200834,116.521.99%
Jun 200836,286.426.36%
Jul 200835,185.59-3.03%
Aug 200832,161.76-8.59%
Sep 200830,355.26-5.62%
Oct 200824,912.42-17.93%
Nov 200822,590.27-9.32%
Dec 200821,012.52-6.98%
Jan 200925,931.7523.41%
Feb 200926,776.273.26%
Mar 200925,273.89-5.61%
Apr 200927,147.497.41%
May 200928,417.374.68%
Jun 200927,731.48-2.41%
Jul 200926,669.57-3.83%
Aug 200928,613.917.29%
Sep 200926,409.17-7.71%
Oct 200926,406.99-0.01%
Nov 200926,956.742.08%
Dec 200928,233.834.74%
Jan 201027,446.79-2.79%
Feb 201027,429.02-0.06%
Mar 201026,928.04-1.83%
Apr 201026,348.04-2.15%
May 201026,219.69-0.49%
Jun 201026,839.772.36%
Jul 201027,919.594.02%
Aug 201030,327.978.63%
Sep 201031,892.395.16%
Oct 201034,789.999.09%
Nov 201038,104.289.53%
Dec 201040,870.397.26%
Jan 201140,937.960.17%
Feb 201139,817.30-2.74%
Mar 201137,150.11-6.70%
Apr 201136,775.74-1.01%
May 201136,197.67-1.57%
Jun 201136,918.901.99%
Jul 201137,338.641.14%
Aug 201138,197.022.30%
Sep 201140,257.915.40%
Oct 201138,231.44-5.03%
Nov 201137,411.88-2.14%
Dec 201137,913.001.34%
Jan 201237,944.080.08%
Feb 201237,249.39-1.83%
Mar 201237,708.881.23%
Apr 201238,608.712.39%
May 201237,571.32-2.69%
Jun 201238,875.683.47%
Jul 201240,314.503.70%
Aug 201239,967.38-0.86%
Sep 201240,241.160.69%
Oct 201236,627.08-8.98%
Nov 201235,758.83-2.37%
Dec 201235,637.11-0.34%
Jan 201336,053.341.17%
Feb 201335,407.77-1.79%
Mar 201334,425.77-2.77%
Apr 201334,298.17-0.37%

Top Companies

Archer Daniels Midland
Website: http://www.adm.com/
Location: Decatur, Illinois, USA

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