Copra Monthly Price - Swiss Franc per Metric Ton

Data as of March 2026

Range
Feb 1997 - Jan 2021: 133.536 (18.52%)
Chart

Description: Copra (Philippines/Indonesia), bulk, c.i.f. N.W. Europe

Unit: Swiss Franc 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

Copra is the dried kernel of the coconut, produced by splitting mature coconuts and removing moisture so that the flesh can be pressed for oil. In commodity markets, it is typically priced per metric ton, with quotations often reflecting standard export grades and moisture content. Copra is a traditional oilseed raw material rather than a consumer food in bulk trade, and its market value is closely linked to the value of coconut oil and, indirectly, to other vegetable oils. The main commercial uses are crushing into coconut oil and production of coconut meal or cake, which is used in animal feed in some markets. Coconut oil derived from copra is also used in food processing, soaps, detergents, cosmetics, and industrial applications. Because copra is a processed agricultural product, its pricing depends not only on coconut harvests but also on drying quality, storage conditions, and transport from tropical producing areas to crushing and export centers.

Supply Drivers

Copra supply is shaped by the biology of the coconut palm, which grows in humid tropical climates and requires long maturation periods before bearing fruit. Production is concentrated in tropical coastal and island regions of South and Southeast Asia, the Pacific, and parts of East Africa and Latin America, where rainfall, temperature, and soil conditions support coconut cultivation. Output depends on the age profile of palm stands, because coconut trees are perennial and replacement takes many years. This creates slow adjustment to price signals compared with annual crops. Weather is a persistent supply factor: drought, excessive rainfall, cyclones, and saltwater intrusion can reduce nut set, harvest quality, and drying efficiency. Pests and diseases also matter because they can damage palms over long periods and reduce yields.

Copra is highly sensitive to post-harvest handling. Drying methods, humidity, and storage conditions affect oil content, mold risk, and quality discounts. Transport bottlenecks are common in dispersed island production areas, where collection from smallholders and shipment to crushers or ports adds cost. Because copra is bulky and relatively low in value per unit weight, freight and logistics materially influence export competitiveness. Supply is also tied to competing uses for coconuts, including fresh consumption and desiccated coconut processing, which can divert nuts away from copra production.

Demand Drivers

Demand for copra is driven primarily by the crushing industry, which converts it into coconut oil and coconut meal. Coconut oil is used in food manufacturing, confectionery, frying applications in some markets, and non-food uses such as soaps, surfactants, and personal-care products. Coconut meal or cake is a byproduct used in livestock feed, although its use depends on local feed formulations and relative prices of other protein meals. Because copra is an input rather than a final consumer good, its demand is derived from downstream demand for coconut oil and meal.

Substitution is important. Coconut oil competes with palm oil, soybean oil, rapeseed oil, and other vegetable oils in food and industrial applications, so relative prices among oils influence crushing demand for copra. In soap and detergent manufacturing, coconut oil is valued for its lauric acid content, which gives it functional properties not fully matched by many other oils. Consumer demand for coconut-based foods and ingredients also supports the market, especially in regions where coconut products are traditional. Seasonal patterns can appear in harvesting and shipping, but end-use demand is more persistent than seasonal. Income growth can raise demand for processed foods, cosmetics, and packaged consumer goods that use coconut derivatives, while health and labeling preferences can shift product formulations over long periods.

Macro and Financial Drivers

Copra prices are influenced by the value of the U.S. dollar because the commodity is commonly quoted in dollars while production costs are incurred in local currencies. Exchange-rate changes can alter export competitiveness and producer margins. As with other storable agricultural commodities, financing costs matter: higher interest rates raise the cost of holding inventories, which can affect the relationship between nearby and deferred prices. Storage conditions are also important because copra can deteriorate if moisture is not controlled, so quality risk limits long-term warehousing and can steepen nearby price sensitivity.

Copra often moves with broader vegetable-oil markets because crushers and buyers compare feedstock economics across oils. It can also show sensitivity to freight costs, since tropical origin-to-port logistics are a meaningful part of delivered value. Inflation affects nominal prices through input costs such as labor, fuel, packaging, and transport, but the main price mechanism remains the balance between coconut oil demand and the availability of dried coconut kernel.

MonthPriceChange
Feb 1997720.93-
Mar 1997716.37-0.63%
Apr 1997681.25-4.90%
May 1997612.96-10.02%
Jun 1997598.49-2.36%
Jul 1997591.20-1.22%
Aug 1997583.07-1.38%
Sep 1997593.711.82%
Oct 1997598.450.80%
Nov 1997579.82-3.11%
Dec 1997566.31-2.33%
Jan 1998557.82-1.50%
Feb 1998543.06-2.65%
Mar 1998562.683.61%
Apr 1998572.431.73%
May 1998621.268.53%
Jun 1998618.46-0.45%
Jul 1998608.47-1.61%
Aug 1998602.52-0.98%
Sep 1998573.69-4.78%
Oct 1998586.332.20%
Nov 1998643.669.78%
Dec 1998644.220.09%
Jan 1999652.291.25%
Feb 1999653.170.13%
Mar 1999660.311.09%
Apr 1999732.4910.93%
May 1999827.9213.03%
Jun 1999791.99-4.34%
Jul 1999675.26-14.74%
Aug 1999673.94-0.20%
Sep 1999704.784.58%
Oct 1999671.50-4.72%
Nov 1999714.646.42%
Dec 1999737.073.14%
Jan 2000685.53-6.99%
Feb 2000661.11-3.56%
Mar 2000622.72-5.81%
Apr 2000608.65-2.26%
May 2000548.94-9.81%
Jun 2000475.63-13.36%
Jul 2000433.57-8.84%
Aug 2000442.882.15%
Sep 2000390.05-11.93%
Oct 2000398.912.27%
Nov 2000432.688.46%
Dec 2000369.27-14.65%
Jan 2001349.45-5.37%
Feb 2001314.12-10.11%
Mar 2001321.392.31%
Apr 2001329.732.60%
May 2001332.990.99%
Jun 2001365.989.91%
Jul 2001407.2911.29%
Aug 2001401.32-1.47%
Sep 2001348.98-13.04%
Oct 2001328.08-5.99%
Nov 2001353.037.60%
Dec 2001342.42-3.01%
Jan 2002361.605.60%
Feb 2002390.357.95%
Mar 2002371.28-4.89%
Apr 2002414.7111.70%
May 2002413.21-0.36%
Jun 2002421.061.90%
Jul 2002406.23-3.52%
Aug 2002410.641.08%
Sep 2002373.39-9.07%
Oct 2002394.685.70%
Nov 2002415.915.38%
Dec 2002429.283.22%
Jan 2003413.07-3.78%
Feb 2003401.60-2.78%
Mar 2003366.74-8.68%
Apr 2003359.20-2.06%
May 2003352.23-1.94%
Jun 2003375.826.70%
Jul 2003370.16-1.51%
Aug 2003362.95-1.95%
Sep 2003360.18-0.76%
Oct 2003374.513.98%
Nov 2003425.2913.56%
Dec 2003482.6713.49%
Jan 2004459.01-4.90%
Feb 2004492.277.24%
Mar 2004547.4011.20%
Apr 2004618.5012.99%
May 2004609.04-1.53%
Jun 2004508.61-16.49%
Jul 2004523.402.91%
Aug 2004507.76-2.99%
Sep 2004528.174.02%
Oct 2004505.66-4.26%
Nov 2004484.76-4.13%
Dec 2004469.30-3.19%
Jan 2005473.670.93%
Feb 2005496.774.88%
Mar 2005523.045.29%
Apr 2005511.80-2.15%
May 2005494.44-3.39%
Jun 2005508.092.76%
Jul 2005488.47-3.86%
Aug 2005429.86-12.00%
Sep 2005441.062.61%
Oct 2005471.306.86%
Nov 2005475.360.86%
Dec 2005448.95-5.55%
Jan 2006452.490.79%
Feb 2006482.246.57%
Mar 2006466.02-3.36%
Apr 2006461.60-0.95%
May 2006440.95-4.47%
Jun 2006440.65-0.07%
Jul 2006450.752.29%
Aug 2006464.653.08%
Sep 2006473.281.86%
Oct 2006493.524.28%
Nov 2006508.142.96%
Dec 2006551.918.61%
Jan 2007572.143.67%
Feb 2007593.313.70%
Mar 2007588.30-0.84%
Apr 2007627.696.69%
May 2007690.409.99%
Jun 2007758.839.91%
Jul 2007705.19-7.07%
Aug 2007688.15-2.42%
Sep 2007691.980.56%
Oct 2007746.237.84%
Nov 2007798.126.95%
Dec 2007832.514.31%
Jan 2008887.796.64%
Feb 2008953.887.45%
Mar 2008943.02-1.14%
Apr 2008922.27-2.20%
May 2008991.347.49%
Jun 20081,017.512.64%
Jul 2008932.64-8.34%
Aug 2008823.22-11.73%
Sep 2008773.41-6.05%
Oct 2008624.12-19.30%
Nov 2008534.73-14.32%
Dec 2008529.40-1.00%
Jan 2009516.47-2.44%
Feb 2009488.55-5.41%
Mar 2009451.32-7.62%
Apr 2009537.9519.20%
May 2009588.169.33%
Jun 2009509.77-13.33%
Jul 2009463.11-9.15%
Aug 2009500.127.99%
Sep 2009458.33-8.36%
Oct 2009451.27-1.54%
Nov 2009462.402.47%
Dec 2009491.406.27%
Jan 2010508.383.45%
Feb 2010537.075.64%
Mar 2010615.3414.57%
Apr 2010633.692.98%
May 2010659.454.06%
Jun 2010704.396.81%
Jul 2010686.04-2.60%
Aug 2010767.2611.84%
Sep 2010801.014.40%
Oct 2010861.967.61%
Nov 2010936.438.64%
Dec 20101,060.2713.22%
Jan 20111,229.5115.96%
Feb 20111,351.099.89%
Mar 20111,130.90-16.30%
Apr 20111,201.816.27%
May 20111,165.54-3.02%
Jun 2011968.13-16.94%
Jul 2011866.91-10.46%
Aug 2011717.53-17.23%
Sep 2011723.830.88%
Oct 2011681.54-5.84%
Nov 2011844.8323.96%
Dec 2011855.001.20%
Jan 2012863.140.95%
Feb 2012813.33-5.77%
Mar 2012770.71-5.24%
Apr 2012778.150.97%
May 2012679.60-12.66%
Jun 2012638.71-6.02%
Jul 2012657.582.95%
Aug 2012609.16-7.36%
Sep 2012568.97-6.60%
Oct 2012531.83-6.53%
Nov 2012498.69-6.23%
Dec 2012451.20-9.52%
Jan 2013481.316.67%
Feb 2013494.562.75%
Mar 2013487.00-1.53%
Apr 2013465.67-4.38%
May 2013495.786.47%
Jun 2013525.195.93%
Jul 2013512.15-2.48%
Aug 2013518.411.22%
Sep 2013569.979.94%
Oct 2013559.17-1.89%
Nov 2013733.1731.12%
Dec 2013717.14-2.19%
Jan 2014724.080.97%
Feb 2014769.806.31%
Mar 2014773.820.52%
Apr 2014752.88-2.71%
May 2014783.434.06%
Jun 2014775.64-0.99%
Jul 2014709.99-8.46%
Aug 2014688.75-2.99%
Sep 2014697.961.34%
Oct 2014688.78-1.32%
Nov 2014724.035.12%
Dec 2014739.812.18%
Jan 2015687.65-7.05%
Feb 2015702.692.19%
Mar 2015677.63-3.57%
Apr 2015652.06-3.77%
May 2015662.821.65%
Jun 2015662.27-0.08%
Jul 2015657.76-0.68%
Aug 2015628.42-4.46%
Sep 2015634.650.99%
Oct 2015651.312.62%
Nov 2015666.542.34%
Dec 2015683.252.51%
Jan 2016691.201.16%
Feb 2016703.721.81%
Mar 2016762.498.35%
Apr 2016794.534.20%
May 2016760.61-4.27%
Jun 2016775.701.98%
Jul 2016782.850.92%
Aug 2016787.710.62%
Sep 2016790.950.41%
Oct 2016776.39-1.84%
Nov 2016807.043.95%
Dec 2016875.758.51%
Jan 2017900.282.80%
Feb 2017863.79-4.05%
Mar 2017804.95-6.81%
Apr 2017816.391.42%
May 2017816.01-0.05%
Jun 2017822.660.81%
Jul 2017789.09-4.08%
Aug 2017788.44-0.08%
Sep 2017776.32-1.54%
Oct 2017776.300.00%
Nov 2017805.303.74%
Dec 2017772.18-4.11%
Jan 2018735.46-4.75%
Feb 2018670.56-8.83%
Mar 2018640.42-4.49%
Apr 2018659.532.98%
May 2018645.59-2.11%
Jun 2018610.84-5.38%
Jul 2018608.47-0.39%
Aug 2018606.17-0.38%
Sep 2018548.12-9.58%
Oct 2018520.84-4.98%
Nov 2018478.34-8.16%
Dec 2018500.834.70%
Jan 2019487.34-2.69%
Feb 2019451.07-7.44%
Mar 2019428.73-4.95%
Apr 2019427.12-0.37%
May 2019424.50-0.61%
Jun 2019396.83-6.52%
Jul 2019415.244.64%
Aug 2019441.806.40%
Sep 2019450.682.01%
Oct 2019448.70-0.44%
Nov 2019510.6113.80%
Dec 2019601.7917.86%
Jan 2020585.10-2.77%
Feb 2020521.83-10.81%
Mar 2020505.55-3.12%
Apr 2020513.511.58%
May 2020503.50-1.95%
Jun 2020548.738.98%
Jul 2020525.13-4.30%
Aug 2020559.876.62%
Sep 2020593.846.07%
Oct 2020635.707.05%
Nov 2020773.7121.71%
Dec 2020786.451.65%
Jan 2021854.478.65%

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