Rapeseed Oil Monthly Price - Pakistan Rupee per Metric Ton

Data as of March 2026

Range
Feb 2002 - Jan 2019: 93,844.030 (368.14%)
Chart

Description: Rapeseed Oil; Crude, fob Rotterdam, Pakistan Rupee per Metric Ton

Unit: Pakistan Rupee per Metric Ton



Source: International Monetary Fund

See also: Rapeseed Oil production statistics

See also: Top commodity suppliers

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

Overview

Rapeseed oil is a vegetable oil pressed or extracted from the seeds of rapeseed and canola varieties of Brassica napus and related oilseed crops. On commodity markets it is typically priced as crude rapeseed oil, with the benchmark often quoted on an FOB Hamburg basis in US dollars per metric ton. The oil is used primarily in food applications such as cooking oil, margarine, mayonnaise, and processed foods, and it also serves as a feedstock for industrial uses including biodiesel, lubricants, and oleochemicals. Its market position reflects the fact that rapeseed is one of the main temperate-climate oilseeds, linking the oil market to the companion protein meal market produced from crushing the seed. Because the oil is traded alongside soybean oil, sunflower oil, and palm oil, its price is shaped by both crop-specific supply conditions and broader vegetable oil substitution patterns.

Supply Drivers

Rapeseed oil supply depends first on rapeseed seed production, which is concentrated in temperate regions with suitable growing seasons and winter or spring planting windows. Europe, Canada, China, India, and parts of Australia have long-standing roles in production because the crop fits their climate and rotation systems. Output is shaped by acreage decisions, crop rotation constraints, and yield variability tied to rainfall, frost, heat stress, and flowering-period weather. Rapeseed is also sensitive to pest and disease pressure, including fungal diseases and insect damage, which can reduce yields or raise production costs.

After harvest, supply depends on crushing capacity, transport links, and access to export terminals. Oil availability is linked to the economics of the whole seed crush: crushers respond to the relative value of oil and meal, so rapeseed oil supply is partly a by-product of meal demand. Seasonal harvest timing creates periods of tighter or looser nearby availability, while storage and logistics influence the flow from inland farms to coastal export hubs. Because planting and crushing decisions are made months before delivery, supply adjusts with a lag to price signals and weather outcomes.

Demand Drivers

Rapeseed oil demand comes from both food and industrial uses. In food markets it is valued for its relatively neutral flavor, liquid form at room temperature, and favorable fatty-acid profile compared with some other edible oils. It is widely used in household cooking, packaged foods, frying, and blended edible-oil products. Industrial demand is important because rapeseed oil is a common feedstock for biodiesel and other oleochemical applications, where its chemical properties make it suitable for conversion into fuels, surfactants, and lubricants.

Demand is also shaped by substitution. Buyers can switch among rapeseed oil, soybean oil, sunflower oil, palm oil, and, in some applications, animal fats or used cooking oil. Relative prices therefore matter, especially for large food manufacturers and fuel blenders that optimize ingredient costs. Seasonal food consumption patterns and the timing of biodiesel blending programs can affect demand flows, while income growth tends to support higher consumption of processed foods and edible oils more broadly. Because rapeseed meal is produced alongside the oil, crush margins and meal demand indirectly influence oil availability and pricing.

Macro and Financial Drivers

Rapeseed oil prices are influenced by the US dollar because the benchmark is quoted in dollars while production and consumption are spread across multiple currency zones. A stronger dollar can make the oil more expensive for non-dollar buyers and can weigh on import demand. Interest rates matter through inventory financing: higher carrying costs discourage storage and can narrow the willingness to hold stocks, while lower rates make inventories easier to finance. Like other storable agricultural commodities, rapeseed oil can move between contango and backwardation depending on nearby supply tightness, storage costs, and expectations about future crush availability. It also tends to trade in relation to broader vegetable oil complexes, so fund flows and cross-commodity substitution can transmit price changes across related markets.

MonthPriceChange
Feb 200225,491.20-
Mar 200225,008.05-1.90%
Apr 200224,695.30-1.25%
May 200224,938.880.99%
Jun 200227,122.888.76%
Jul 200228,621.885.53%
Aug 200231,038.748.44%
Sep 200231,132.070.30%
Oct 200231,919.652.53%
Nov 200234,822.559.09%
Dec 200236,085.543.63%
Jan 200336,349.270.73%
Feb 200334,020.27-6.41%
Mar 200331,946.83-6.09%
Apr 200332,203.650.80%
May 200335,052.828.85%
Jun 200335,342.010.82%
Jul 200333,647.58-4.79%
Aug 200331,983.59-4.95%
Sep 200332,597.211.92%
Oct 200335,494.578.89%
Nov 200335,566.940.20%
Dec 200337,113.654.35%
Jan 200438,783.274.50%
Feb 200440,431.024.25%
Mar 200439,495.63-2.31%
Apr 200437,062.64-6.16%
May 200440,382.828.96%
Jun 200440,528.970.36%
Jul 200437,910.20-6.46%
Aug 200439,070.093.06%
Sep 200438,801.22-0.69%
Oct 200439,607.392.08%
Nov 200440,667.092.68%
Dec 200442,231.663.85%
Jan 200540,433.72-4.26%
Feb 200538,267.42-5.36%
Mar 200539,237.052.53%
Apr 200538,531.11-1.80%
May 200538,824.750.76%
Jun 200538,319.85-1.30%
Jul 200538,490.320.44%
Aug 200539,033.991.41%
Sep 200541,163.435.46%
Oct 200543,858.306.55%
Nov 200543,489.27-0.84%
Dec 200542,578.89-2.09%
Jan 200643,624.962.46%
Feb 200642,886.39-1.69%
Mar 200644,314.313.33%
Apr 200646,411.454.73%
May 200649,760.667.22%
Jun 200649,948.520.38%
Jul 200649,471.57-0.95%
Aug 200648,811.76-1.33%
Sep 200647,527.36-2.63%
Oct 200647,523.91-0.01%
Nov 200649,927.135.06%
Dec 200652,020.054.19%
Jan 200750,121.69-3.65%
Feb 200748,041.59-4.15%
Mar 200746,835.38-2.51%
Apr 200749,095.784.83%
May 200751,242.884.37%
Jun 200752,623.722.69%
Jul 200755,941.786.31%
Aug 200757,969.793.63%
Sep 200763,338.649.26%
Oct 200769,604.319.89%
Nov 200776,372.409.72%
Dec 200781,836.777.15%
Jan 200885,122.484.01%
Feb 200887,518.052.81%
Mar 200892,624.445.83%
Apr 200893,787.991.26%
May 2008103,398.7010.25%
Jun 2008107,238.903.71%
Jul 2008109,778.102.37%
Aug 2008100,861.50-8.12%
Sep 200895,767.89-5.05%
Oct 200883,607.18-12.70%
Nov 200877,987.99-6.72%
Dec 200866,276.69-15.02%
Jan 200965,922.50-0.53%
Feb 200963,864.15-3.12%
Mar 200962,463.53-2.19%
Apr 200966,862.637.04%
May 200976,399.0214.26%
Jun 200974,396.45-2.62%
Jul 200970,047.41-5.85%
Aug 200973,305.474.65%
Sep 200970,948.98-3.21%
Oct 200974,483.644.98%
Nov 200978,026.404.76%
Dec 200978,938.731.17%
Jan 201077,370.98-1.99%
Feb 201076,560.47-1.05%
Mar 201076,859.600.39%
Apr 201076,357.47-0.65%
May 201072,776.74-4.69%
Jun 201074,787.552.76%
Jul 201081,039.488.36%
Aug 201086,785.927.09%
Sep 201088,656.722.16%
Oct 201098,871.3011.52%
Nov 2010106,345.007.56%
Dec 2010118,628.8011.55%
Jan 2011123,554.004.15%
Feb 2011119,806.80-3.03%
Mar 2011120,568.400.64%
Apr 2011122,573.501.66%
May 2011119,887.90-2.19%
Jun 2011120,343.600.38%
Jul 2011119,925.00-0.35%
Aug 2011117,074.60-2.38%
Sep 2011114,651.10-2.07%
Oct 2011110,461.30-3.65%
Nov 2011110,732.400.25%
Dec 2011111,286.500.50%
Jan 2012113,120.801.65%
Feb 2012116,848.503.30%
Mar 2012117,063.100.18%
Apr 2012118,264.801.03%
May 2012112,686.40-4.72%
Jun 2012111,562.70-1.00%
Jul 2012114,742.802.85%
Aug 2012116,348.501.40%
Sep 2012120,077.703.21%
Oct 2012115,865.60-3.51%
Nov 2012113,810.30-1.77%
Dec 2012115,590.901.56%
Jan 2013118,138.202.20%
Feb 2013119,313.100.99%
Mar 2013114,013.70-4.44%
Apr 2013111,361.30-2.33%
May 2013109,946.40-1.27%
Jun 2013113,218.202.98%
Jul 2013101,587.50-10.27%
Aug 2013102,463.000.86%
Sep 2013103,732.301.24%
Oct 2013107,494.803.63%
Nov 2013109,885.102.22%
Dec 2013107,869.40-1.83%
Jan 2014100,017.80-7.28%
Feb 2014102,207.702.19%
Mar 2014100,868.20-1.31%
Apr 201498,797.01-2.05%
May 201494,280.36-4.57%
Jun 201493,488.05-0.84%
Jul 201488,124.29-5.74%
Aug 201485,478.36-3.00%
Sep 201485,771.340.34%
Oct 201488,411.673.08%
Nov 201485,766.52-2.99%
Dec 201482,258.44-4.09%
Jan 201578,431.50-4.65%
Feb 201577,416.58-1.29%
Mar 201576,521.73-1.16%
Apr 201576,100.16-0.55%
May 201578,440.193.07%
Jun 201585,724.649.29%
Jul 201582,438.80-3.83%
Aug 201577,204.94-6.35%
Sep 201580,536.724.32%
Oct 201584,643.975.10%
Nov 201584,362.61-0.33%
Dec 201586,027.401.97%
Jan 201681,991.05-4.69%
Feb 201681,669.97-0.39%
Mar 201680,258.18-1.73%
Apr 201684,699.805.53%
May 201684,400.21-0.35%
Jun 201683,062.91-1.58%
Jul 201680,509.53-3.07%
Aug 201685,625.006.35%
Sep 201688,923.453.85%
Oct 201695,738.837.66%
Nov 201696,243.030.53%
Dec 201697,544.731.35%
Jan 201793,405.08-4.24%
Feb 201791,665.06-1.86%
Mar 201788,845.67-3.08%
Apr 201788,007.94-0.94%
May 201788,290.190.32%
Jun 201788,882.540.67%
Jul 201795,690.007.66%
Aug 201792,259.91-3.58%
Sep 201792,010.91-0.27%
Oct 201794,594.862.81%
Nov 2017101,543.907.35%
Dec 201798,370.07-3.13%
Jan 201893,788.88-4.66%
Feb 201891,486.44-2.45%
Mar 201889,739.38-1.91%
Apr 201891,709.772.20%
May 201893,820.412.30%
Jun 2018100,076.806.67%
Jul 2018106,110.606.03%
Aug 2018105,922.80-0.18%
Sep 2018102,066.50-3.64%
Oct 2018111,580.509.32%
Nov 2018112,529.900.85%
Dec 2018114,714.501.94%
Jan 2019119,335.204.03%

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

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