Soybeans Monthly Price - Canadian Dollar per Metric Ton

Data as of March 2026

Range
Apr 2016 - Mar 2026: 141.341 (27.90%)
Chart

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

Unit: Canadian Dollar 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 2016506.51-
May 2016546.627.92%
Jun 2016589.147.78%
Jul 2016563.04-4.43%
Aug 2016535.33-4.92%
Sep 2016528.96-1.19%
Oct 2016531.900.56%
Nov 2016534.250.44%
Dec 2016554.593.81%
Jan 2017543.80-1.95%
Feb 2017517.02-4.92%
Mar 2017513.59-0.66%
Apr 2017520.731.39%
May 2017530.471.87%
Jun 2017504.59-4.88%
Jul 2017520.853.22%
Aug 2017495.34-4.90%
Sep 2017483.53-2.38%
Oct 2017498.693.13%
Nov 2017502.890.84%
Dec 2017494.95-1.58%
Jan 2018484.36-2.14%
Feb 2018523.428.07%
Mar 2018556.296.28%
Apr 2018558.780.45%
May 2018553.70-0.91%
Jun 2018517.84-6.48%
Jul 2018495.18-4.38%
Aug 2018491.33-0.78%
Sep 2018465.47-5.26%
Oct 2018478.832.87%
Nov 2018493.683.10%
Dec 2018509.873.28%
Jan 2019508.65-0.24%
Feb 2019502.25-1.26%
Mar 2019493.87-1.67%
Apr 2019481.24-2.56%
May 2019457.38-4.96%
Jun 2019476.964.28%
Jul 2019484.101.50%
Aug 2019479.19-1.01%
Sep 2019484.701.15%
Oct 2019503.463.87%
Nov 2019496.87-1.31%
Dec 2019495.84-0.21%
Jan 2020506.302.11%
Feb 2020498.76-1.49%
Mar 2020519.474.15%
Apr 2020507.95-2.22%
May 2020501.53-1.26%
Jun 2020500.40-0.23%
Jul 2020514.152.75%
Aug 2020508.88-1.03%
Sep 2020560.4910.14%
Oct 2020600.287.10%
Nov 2020654.138.97%
Dec 2020654.660.08%
Jan 2021733.2612.01%
Feb 2021734.310.14%
Mar 2021736.050.24%
Apr 2021746.021.36%
May 2021785.595.30%
Jun 2021751.81-4.30%
Jul 2021753.420.22%
Aug 2021738.34-2.00%
Sep 2021707.34-4.20%
Oct 2021686.45-2.95%
Nov 2021690.370.57%
Dec 2021708.712.66%
Jan 2022764.757.91%
Feb 2022841.5310.04%
Mar 2022912.668.45%
Apr 2022910.36-0.25%
May 2022932.872.47%
Jun 2022940.050.77%
Jul 2022877.56-6.65%
Aug 2022866.58-1.25%
Sep 2022885.072.13%
Oct 2022857.66-3.10%
Nov 2022873.331.83%
Dec 2022878.000.54%
Jan 2023841.31-4.18%
Feb 2023875.204.03%
Mar 2023859.83-1.76%
Apr 2023829.29-3.55%
May 2023803.98-3.05%
Jun 2023786.73-2.15%
Jul 2023837.596.46%
Aug 2023787.32-6.00%
Sep 2023838.656.52%
Oct 2023725.97-13.44%
Nov 2023758.734.51%
Dec 2023737.47-2.80%
Jan 2024734.80-0.36%
Feb 2024701.70-4.50%
Mar 2024659.88-5.96%
Apr 2024653.27-1.00%
May 2024670.452.63%
Jun 2024657.42-1.94%
Jul 2024644.15-2.02%
Aug 2024546.24-15.20%
Sep 2024530.08-2.96%
Oct 2024606.9914.51%
Nov 2024608.560.26%
Dec 2024580.23-4.66%
Jan 2025591.121.88%
Feb 2025589.00-0.36%
Mar 2025575.92-2.22%
Apr 2025570.47-0.95%
May 2025574.620.73%
Jun 2025568.32-1.10%
Jul 2025561.59-1.18%
Aug 2025561.17-0.08%
Sep 2025558.80-0.42%
Oct 2025564.881.09%
Nov 2025626.8810.98%
Dec 2025607.19-3.14%
Jan 2026587.80-3.19%
Feb 2026627.096.68%
Mar 2026647.853.31%

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