Soybeans Monthly Price - Pakistan Rupee per Metric Ton

Data as of March 2026

Range
Apr 2001 - Jan 2019: 41,716.090 (367.34%)
Chart

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

Unit: Pakistan 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
Apr 200111,356.18-
May 200111,306.99-0.43%
Jun 200111,929.585.51%
Jul 200113,222.4310.84%
Aug 200113,606.572.91%
Sep 200112,967.98-4.69%
Oct 200111,713.82-9.67%
Nov 200111,629.86-0.72%
Dec 200111,503.27-1.09%
Jan 200211,415.15-0.77%
Feb 200211,257.18-1.38%
Mar 200211,486.212.03%
Apr 200211,723.312.06%
May 200211,843.591.03%
Jun 200212,026.821.55%
Jul 200213,072.918.70%
Aug 200213,519.963.42%
Sep 200213,994.343.51%
Oct 200213,553.62-3.15%
Nov 200214,268.655.28%
Dec 200214,106.66-1.14%
Jan 200314,219.880.80%
Feb 200314,113.16-0.75%
Mar 200313,949.82-1.16%
Apr 200314,506.153.99%
May 200314,432.87-0.51%
Jun 200313,795.78-4.41%
Jul 200313,284.37-3.71%
Aug 200313,695.373.09%
Sep 200315,255.8311.39%
Oct 200317,867.7517.12%
Nov 200318,749.024.93%
Dec 200318,995.381.31%
Jan 200420,095.255.79%
Feb 200421,119.095.09%
Mar 200423,722.6512.33%
Apr 200420,571.84-13.28%
May 200418,214.09-11.46%
Jun 200417,081.04-6.22%
Jul 200416,249.22-4.87%
Aug 200415,506.79-4.57%
Sep 200415,333.66-1.12%
Oct 200414,743.53-3.85%
Nov 200415,442.904.74%
Dec 200415,768.742.11%
Jan 200515,460.93-1.95%
Feb 200515,431.36-0.19%
Mar 200517,145.9611.11%
Apr 200516,732.09-2.41%
May 200516,837.130.63%
Jun 200518,264.328.48%
Jul 200517,774.03-2.68%
Aug 200516,349.44-8.02%
Sep 200515,739.55-3.73%
Oct 200515,348.44-2.48%
Nov 200515,289.13-0.39%
Dec 200515,795.673.31%
Jan 200615,381.34-2.62%
Feb 200615,388.640.05%
Mar 200615,420.040.20%
Apr 200615,476.080.36%
May 200615,977.813.24%
Jun 200616,069.520.57%
Jul 200616,383.411.95%
Aug 200615,805.67-3.53%
Sep 200615,605.95-1.26%
Oct 200616,540.065.99%
Nov 200618,212.9410.11%
Dec 200618,084.72-0.70%
Jan 200718,635.313.04%
Feb 200719,754.196.00%
Mar 200719,547.37-1.05%
Apr 200719,418.35-0.66%
May 200720,261.544.34%
Jun 200721,894.218.06%
Jul 200722,689.473.63%
Aug 200723,289.782.65%
Sep 200725,826.5310.89%
Oct 200727,308.425.74%
Nov 200729,818.919.19%
Dec 200730,854.623.47%
Jan 200832,355.144.86%
Feb 200835,141.298.61%
Mar 200834,278.13-2.46%
Apr 200834,998.492.10%
May 200838,385.589.68%
Jun 200842,767.4111.42%
Jul 200845,149.285.57%
Aug 200841,548.55-7.98%
Sep 200840,640.00-2.19%
Oct 200832,125.15-20.95%
Nov 200829,741.71-7.42%
Dec 200828,420.00-4.44%
Jan 200931,776.3311.81%
Feb 200929,803.00-6.21%
Mar 200929,969.470.56%
Apr 200931,212.874.15%
May 200934,342.3310.03%
Jun 200935,859.844.42%
Jul 200935,421.01-1.22%
Aug 200941,246.3416.45%
Sep 200935,253.02-14.53%
Oct 200935,827.721.63%
Nov 200937,385.864.35%
Dec 200937,804.001.12%
Jan 201036,894.03-2.41%
Feb 201034,999.61-5.13%
Mar 201034,571.96-1.22%
Apr 201033,814.21-2.19%
May 201033,994.090.53%
Jun 201034,260.380.78%
Jul 201036,595.136.81%
Aug 201038,541.065.32%
Sep 201040,204.924.32%
Oct 201042,643.736.07%
Nov 201044,012.243.21%
Dec 201046,812.816.36%
Jan 201148,677.243.98%
Feb 201148,332.04-0.71%
Mar 201147,205.11-2.33%
Apr 201147,133.48-0.15%
May 201147,452.020.68%
Jun 201147,750.420.63%
Jul 201147,911.460.34%
Aug 201147,935.980.05%
Sep 201146,556.58-2.88%
Oct 201142,725.27-8.23%
Nov 201141,591.82-2.65%
Dec 201143,188.283.84%
Jan 201245,435.075.20%
Feb 201247,455.204.45%
Mar 201249,714.054.76%
Apr 201252,966.436.54%
May 201252,696.75-0.51%
Jun 201254,492.143.41%
Jul 201263,308.9316.18%
Aug 201264,664.652.14%
Sep 201264,106.32-0.86%
Oct 201259,713.44-6.85%
Nov 201256,163.96-5.94%
Dec 201257,523.052.42%
Jan 201358,077.900.96%
Feb 201359,875.683.10%
Mar 201357,386.68-4.16%
Apr 201355,480.89-3.32%
May 201349,034.09-11.62%
Jun 201351,772.835.59%
Jul 201351,489.63-0.55%
Aug 201352,755.812.46%
Sep 201359,082.4511.99%
Oct 201357,514.52-2.65%
Nov 201359,295.143.10%
Dec 201360,412.071.88%
Jan 201459,661.87-1.24%
Feb 201451,613.44-13.49%
Mar 201453,014.362.71%
Apr 201450,421.23-4.89%
May 201451,281.871.71%
Jun 201450,389.09-1.74%
Jul 201446,600.93-7.52%
Aug 201446,020.32-1.25%
Sep 201444,110.01-4.15%
Oct 201443,820.43-0.66%
Nov 201445,863.524.66%
Dec 201445,259.76-1.32%
Jan 201543,688.36-3.47%
Feb 201543,002.44-1.57%
Mar 201541,745.89-2.92%
Apr 201540,174.15-3.77%
May 201539,548.65-1.56%
Jun 201539,866.810.80%
Jul 201541,308.973.62%
Aug 201538,807.38-6.06%
Sep 201538,352.76-1.17%
Oct 201539,328.542.54%
Nov 201538,825.24-1.28%
Dec 201538,607.23-0.56%
Jan 201639,149.191.40%
Feb 201639,139.55-0.02%
Mar 201639,902.851.95%
Apr 201641,395.013.74%
May 201644,269.806.94%
Jun 201647,881.458.16%
Jul 201645,200.17-5.60%
Aug 201643,169.65-4.49%
Sep 201642,233.01-2.17%
Oct 201642,088.26-0.34%
Nov 201641,689.31-0.95%
Dec 201643,620.094.63%
Jan 201743,199.40-0.96%
Feb 201741,360.30-4.26%
Mar 201740,230.74-2.73%
Apr 201740,625.020.98%
May 201740,862.720.59%
Jun 201739,706.47-2.83%
Jul 201743,328.199.12%
Aug 201741,407.14-4.43%
Sep 201741,527.030.29%
Oct 201741,804.130.67%
Nov 201741,530.51-0.65%
Dec 201742,223.101.67%
Jan 201843,062.751.99%
Feb 201846,024.046.88%
Mar 201848,232.794.80%
Apr 201850,758.235.24%
May 201849,751.44-1.98%
Jun 201847,104.24-5.32%
Jul 201847,161.520.12%
Aug 201846,749.35-0.87%
Sep 201844,340.58-5.15%
Oct 201848,271.298.86%
Nov 201850,084.703.76%
Dec 201852,782.665.39%
Jan 201953,072.270.55%

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