Soybeans Monthly Price - Sri Lanka Rupee per Metric Ton

Data as of March 2026

Range
Jun 2006 - Jan 2019: 42,058.050 (152.19%)
Chart

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

Unit: Sri Lanka Rupee 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
Jun 200627,636.03-
Jul 200628,256.632.25%
Aug 200627,190.79-3.77%
Sep 200626,443.13-2.75%
Oct 200628,815.138.97%
Nov 200632,344.8912.25%
Dec 200632,027.90-0.98%
Jan 200733,216.263.71%
Feb 200735,327.256.36%
Mar 200735,203.22-0.35%
Apr 200734,981.54-0.63%
May 200737,024.465.84%
Jun 200740,061.118.20%
Jul 200741,928.074.66%
Aug 200743,162.792.94%
Sep 200748,282.3411.86%
Oct 200750,867.175.35%
Nov 200754,038.206.23%
Dec 200755,000.861.78%
Jan 200857,200.514.00%
Feb 200861,920.558.25%
Mar 200860,207.45-2.77%
Apr 200859,198.59-1.68%
May 200861,023.063.08%
Jun 200868,445.3412.16%
Jul 200868,597.590.22%
Aug 200860,048.00-12.46%
Sep 200856,681.09-5.61%
Oct 200843,215.23-23.76%
Nov 200840,895.80-5.37%
Dec 200840,020.01-2.14%
Jan 200945,615.9513.98%
Feb 200942,657.27-6.49%
Mar 200942,589.60-0.16%
Apr 200945,486.716.80%
May 200949,775.699.43%
Jun 200950,797.632.05%
Jul 200949,479.38-2.60%
Aug 200957,146.8415.50%
Sep 200948,790.31-14.62%
Oct 200949,374.811.20%
Nov 200951,232.673.76%
Dec 200951,381.020.29%
Jan 201049,843.72-2.99%
Feb 201047,172.84-5.36%
Mar 201046,741.75-0.91%
Apr 201045,853.27-1.90%
May 201045,820.30-0.07%
Jun 201045,595.82-0.49%
Jul 201048,339.866.02%
Aug 201050,584.234.64%
Sep 201052,663.734.11%
Oct 201055,428.685.25%
Nov 201057,390.733.54%
Dec 201060,637.555.66%
Jan 201162,980.713.86%
Feb 201162,812.48-0.27%
Mar 201161,000.86-2.88%
Apr 201161,385.040.63%
May 201161,143.91-0.39%
Jun 201160,957.97-0.30%
Jul 201160,938.11-0.03%
Aug 201160,714.43-0.37%
Sep 201158,590.45-3.50%
Oct 201154,152.67-7.57%
Nov 201153,115.89-1.91%
Dec 201155,016.993.58%
Jan 201257,311.714.17%
Feb 201261,307.886.97%
Mar 201268,714.5812.08%
Apr 201275,114.209.31%
May 201274,576.27-0.72%
Jun 201276,320.552.34%
Jul 201289,018.1716.64%
Aug 201290,339.101.48%
Sep 201289,242.20-1.21%
Oct 201280,744.34-9.52%
Nov 201276,198.00-5.63%
Dec 201275,999.84-0.26%
Jan 201375,510.73-0.64%
Feb 201377,352.402.44%
Mar 201374,127.48-4.17%
Apr 201371,065.77-4.13%
May 201362,902.09-11.49%
Jun 201367,054.966.60%
Jul 201367,006.80-0.07%
Aug 201367,457.840.67%
Sep 201374,208.2410.01%
Oct 201370,905.21-4.45%
Nov 201372,262.981.91%
Dec 201373,794.412.12%
Jan 201473,926.870.18%
Feb 201464,191.05-13.17%
Mar 201469,328.838.00%
Apr 201467,424.57-2.75%
May 201467,758.270.49%
Jun 201466,594.68-1.72%
Jul 201461,438.91-7.74%
Aug 201459,700.54-2.83%
Sep 201456,035.38-6.14%
Oct 201455,615.46-0.75%
Nov 201458,904.935.91%
Dec 201458,739.95-0.28%
Jan 201557,006.41-2.95%
Feb 201556,215.62-1.39%
Mar 201554,460.66-3.12%
Apr 201552,459.31-3.67%
May 201551,818.76-1.22%
Jun 201552,417.301.16%
Jul 201554,260.603.52%
Aug 201550,705.16-6.55%
Sep 201551,022.750.63%
Oct 201552,977.613.83%
Nov 201552,223.84-1.42%
Dec 201552,847.471.19%
Jan 201653,701.081.62%
Feb 201653,794.020.17%
Mar 201654,845.391.95%
Apr 201656,860.703.67%
May 201661,542.288.23%
Jun 201666,453.447.98%
Jul 201662,685.81-5.67%
Aug 201660,012.34-4.26%
Sep 201658,834.81-1.96%
Oct 201659,024.070.32%
Nov 201658,769.96-0.43%
Dec 201661,945.335.40%
Jan 201761,838.27-0.17%
Feb 201759,501.86-3.78%
Mar 201758,101.06-2.35%
Apr 201758,794.301.19%
May 201759,364.380.97%
Jun 201757,860.18-2.53%
Jul 201763,044.448.96%
Aug 201760,184.92-4.54%
Sep 201760,236.810.09%
Oct 201760,880.631.07%
Nov 201760,516.18-0.60%
Dec 201759,296.72-2.02%
Jan 201859,910.331.03%
Feb 201864,458.867.59%
Mar 201866,970.823.90%
Apr 201868,587.532.41%
May 201867,944.16-0.94%
Jun 201862,743.99-7.65%
Jul 201860,114.32-4.19%
Aug 201860,416.520.50%
Sep 201858,732.85-2.79%
Oct 201863,020.297.30%
Nov 201866,116.664.91%
Dec 201868,474.323.57%
Jan 201969,694.081.78%

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