Soybeans Monthly Price - Iceland Krona per Metric Ton

Data as of March 2026

Range
May 2006 - Jan 2019: 26,559.550 (139.19%)
Chart

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

Unit: Iceland Krona 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 200619,081.57-
Jun 200619,926.214.43%
Jul 200620,209.791.42%
Aug 200618,445.87-8.73%
Sep 200618,098.58-1.88%
Oct 200618,697.153.31%
Nov 200620,712.4510.78%
Dec 200620,598.83-0.55%
Jan 200721,465.214.21%
Feb 200721,894.112.00%
Mar 200721,567.41-1.49%
Apr 200720,868.84-3.24%
May 200721,081.751.02%
Jun 200722,667.537.52%
Jul 200722,732.590.29%
Aug 200725,041.8010.16%
Sep 200727,153.458.43%
Oct 200727,305.410.56%
Nov 200729,723.428.86%
Dec 200731,374.505.55%
Jan 200833,984.568.32%
Feb 200838,163.1912.30%
Mar 200840,016.554.86%
Apr 200840,660.031.61%
May 200842,554.964.66%
Jun 200850,234.7718.05%
Jul 200849,975.09-0.52%
Aug 200845,498.01-8.96%
Sep 200847,935.485.36%
Oct 200845,623.08-4.82%
Nov 200850,306.7510.27%
Dec 200844,557.86-11.43%
Jan 200949,629.6911.38%
Feb 200942,623.08-14.12%
Mar 200942,746.970.29%
Apr 200949,077.1814.81%
May 200953,789.729.60%
Jun 200955,994.024.10%
Jul 200954,840.80-2.06%
Aug 200963,259.2015.35%
Sep 200952,958.95-16.28%
Oct 200953,284.180.61%
Nov 200955,364.433.90%
Dec 200956,198.491.51%
Jan 201054,862.47-2.38%
Feb 201052,801.28-3.76%
Mar 201052,211.20-1.12%
Apr 201051,335.30-1.68%
May 201052,231.871.75%
Jun 201051,606.26-1.20%
Jul 201052,806.802.33%
Aug 201053,745.601.78%
Sep 201054,676.941.73%
Oct 201055,401.311.32%
Nov 201057,534.473.85%
Dec 201063,160.959.78%
Jan 201166,295.744.96%
Feb 201165,958.23-0.51%
Mar 201163,689.36-3.44%
Apr 201162,882.41-1.27%
May 201163,731.861.35%
Jun 201163,996.330.41%
Jul 201164,646.381.02%
Aug 201163,283.51-2.11%
Sep 201162,127.77-1.83%
Oct 201156,968.60-8.30%
Nov 201155,953.32-1.78%
Dec 201158,417.424.40%
Jan 201262,194.566.47%
Feb 201264,511.303.72%
Mar 201269,153.167.20%
Apr 201273,998.397.01%
May 201273,260.63-1.00%
Jun 201273,711.140.61%
Jul 201284,347.5614.43%
Aug 201282,206.77-2.54%
Sep 201283,218.391.23%
Oct 201277,541.36-6.82%
Nov 201274,468.77-3.96%
Dec 201274,662.880.26%
Jan 201376,591.872.58%
Feb 201377,989.201.82%
Mar 201373,259.02-6.07%
Apr 201367,012.63-8.53%
May 201360,262.36-10.07%
Jun 201363,912.986.06%
Jul 201362,526.63-2.17%
Aug 201361,227.32-2.08%
Sep 201367,828.6610.78%
Oct 201365,294.86-3.74%
Nov 201367,155.132.85%
Dec 201366,275.52-1.31%
Jan 201465,475.85-1.21%
Feb 201456,059.63-14.38%
Mar 201459,956.176.95%
Apr 201457,986.52-3.29%
May 201458,518.130.92%
Jun 201458,144.45-0.64%
Jul 201453,922.24-7.26%
Aug 201453,197.79-1.34%
Sep 201451,234.48-3.69%
Oct 201451,441.910.40%
Nov 201455,610.648.10%
Dec 201456,024.090.74%
Jan 201557,069.261.87%
Feb 201555,943.66-1.97%
Mar 201556,069.140.22%
Apr 201553,859.28-3.94%
May 201551,442.97-4.49%
Jun 201551,786.460.67%
Jul 201554,414.225.07%
Aug 201549,917.90-8.26%
Sep 201547,084.11-5.68%
Oct 201547,546.750.98%
Nov 201548,190.181.35%
Dec 201547,915.13-0.57%
Jan 201648,601.521.43%
Feb 201647,951.34-1.34%
Mar 201648,441.541.02%
Apr 201648,928.801.01%
May 201652,215.626.72%
Jun 201656,426.238.06%
Jul 201652,584.43-6.81%
Aug 201648,599.55-7.58%
Sep 201646,321.61-4.69%
Oct 201645,896.30-0.92%
Nov 201644,626.88-2.77%
Dec 201646,819.374.91%
Jan 201747,071.970.54%
Feb 201744,107.06-6.30%
Mar 201741,938.96-4.92%
Apr 201742,787.912.02%
May 201740,192.60-6.07%
Jun 201738,356.28-4.57%
Jul 201743,036.7712.20%
Aug 201741,683.88-3.14%
Sep 201741,905.250.53%
Oct 201741,849.32-0.13%
Nov 201741,086.04-1.82%
Dec 201740,570.67-1.25%
Jan 201840,095.10-1.17%
Feb 201842,010.544.78%
Mar 201842,848.011.99%
Apr 201843,725.592.05%
May 201844,699.382.23%
Jun 201842,146.85-5.71%
Jul 201840,141.84-4.76%
Aug 201840,551.411.02%
Sep 201839,500.44-2.59%
Oct 201843,057.849.01%
Nov 201845,974.756.77%
Dec 201846,241.050.58%
Jan 201945,641.12-1.30%

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