Fishmeal Monthly Price - Iceland Krona per Metric Ton

Data as of March 2026

Range
May 2006 - Jan 2019: 125,566.000 (242.13%)
Chart

Description: Fishmeal, Peru Fish meal/pellets 65% protein, CIF, Iceland Krona per Metric Ton

Unit: Iceland Krona per Metric Ton



Source: World Bank

See also: Fishmeal production statistics

See also: Top commodity suppliers

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

Overview

Fishmeal is a concentrated protein ingredient made by cooking, pressing, drying, and milling whole fish or fish-processing byproducts. It is typically priced in commodity markets on a delivered basis, with a common benchmark being fishmeal, 65% protein, Peru, CIF, quoted in US dollars per metric ton. The benchmark reflects the trade in standard high-protein meal used in compound feeds. Fishmeal is not usually consumed directly by people; its main role is as an animal-feed input. It is valued for its high digestible protein content, amino acid profile, and palatability, especially in aquaculture, pig feed, and starter diets for poultry and livestock. It also serves as a source of minerals and marine nutrients that are difficult to replicate exactly with plant-based ingredients. Because it is a processed product derived from wild-caught fish or fishery byproducts, its market is shaped by both marine biology and feed-industry economics.

Supply Drivers

Fishmeal supply is dominated by reduction fisheries and fish-processing byproducts. In the South Pacific, anchovy fisheries off Peru and Chile are structurally important because anchovy are abundant, fast-growing, and suitable for reduction into meal and oil. Supply depends heavily on ocean conditions, especially sea-surface temperature and nutrient upwelling, which influence fish distribution and biomass. The anchovy stock is also sensitive to climatic variability such as El Niño and La Niña patterns, which can alter catch availability and processing rates. Because fishmeal is made from a biological resource, supply is seasonal and can be interrupted by fishing closures, quota systems, and weather-related port disruptions.

Processing capacity, cold-chain logistics, and proximity to ports matter because raw fish deteriorates quickly and must be handled rapidly. Fishmeal output also depends on the balance between whole-fish reduction and byproduct recovery from seafood processing. When more fish are diverted to direct human consumption, less raw material is available for meal. Production is constrained by biological regeneration, so supply cannot be expanded quickly in response to price signals. This creates a strong link between harvest conditions, fleet access, and factory utilization.

Demand Drivers

Fishmeal demand is driven primarily by feed formulation in aquaculture, pig production, and specialized poultry and livestock diets. It is especially valued in aquaculture because many farmed species require highly digestible protein and marine-derived nutrients during early growth stages. Demand is also supported by its role as a palatability enhancer and as a source of amino acids that complement plant proteins. In compound feed, fishmeal competes with soybean meal, rapeseed meal, sunflower meal, and other protein meals, but substitution is limited by differences in amino acid balance, digestibility, and inclusion rates.

Seasonal feeding patterns matter because aquaculture and livestock production follow biological growth cycles, hatchery schedules, and regional climate conditions. Demand is also influenced by feed-industry economics: when alternative protein meals become relatively expensive, fishmeal can gain inclusion in rations; when plant meals are cheaper, formulators often reduce fishmeal use to the minimum needed for performance. Long-run demand is shaped by the expansion of aquaculture, which structurally increases the need for high-quality feed ingredients. At the same time, feed efficiency improvements and substitution toward plant and microbial proteins moderate growth in fishmeal use per unit of output.

Macro and Financial Drivers

Fishmeal prices are sensitive to broad feed-commodity cycles because buyers compare it with soybean meal, fish oil, and other protein inputs. The US dollar matters because international trade is commonly denominated in dollars, so currency movements affect local purchasing power and export competitiveness. Freight costs and port logistics also influence delivered prices, especially for long-distance trade from South America to Asia and Europe. Because fishmeal is storable but subject to quality degradation if improperly handled, inventory decisions can create periods of tighter or looser nearby pricing. Like other agricultural and marine commodities, it tends to respond to changes in feed demand, credit conditions, and general inflation in transport, energy, and processing costs.

MonthPriceChange
May 200651,859.55-
Jun 200654,730.665.54%
Jul 200656,478.833.19%
Aug 200654,716.65-3.12%
Sep 200656,274.652.85%
Oct 200658,871.374.61%
Nov 200658,604.50-0.45%
Dec 200660,541.823.31%
Jan 200763,719.395.25%
Feb 200761,758.24-3.08%
Mar 200762,743.761.60%
Apr 200763,840.701.75%
May 200775,753.5318.66%
Jun 200785,042.8112.26%
Jul 200783,704.97-1.57%
Aug 200788,480.815.71%
Sep 200777,824.60-12.04%
Oct 200773,731.90-5.26%
Nov 200775,457.372.34%
Dec 200779,859.645.83%
Jan 200879,089.83-0.96%
Feb 200883,470.885.54%
Mar 200891,040.059.07%
Apr 200895,425.304.82%
May 200895,130.01-0.31%
Jun 200897,601.142.60%
Jul 200890,072.79-7.71%
Aug 200890,151.020.09%
Sep 2008102,407.0013.60%
Oct 2008131,667.7028.57%
Nov 2008160,705.3022.05%
Dec 2008146,417.90-8.89%
Jan 2009147,581.800.79%
Feb 2009135,691.50-8.06%
Mar 2009143,774.305.96%
Apr 2009161,361.4012.23%
May 2009159,038.00-1.44%
Jun 2009160,054.500.64%
Jul 2009162,832.401.74%
Aug 2009154,742.40-4.97%
Sep 2009144,747.70-6.46%
Oct 2009133,728.30-7.61%
Nov 2009127,323.00-4.79%
Dec 2009136,712.407.37%
Jan 2010135,371.40-0.98%
Feb 2010132,573.70-2.07%
Mar 2010135,365.702.11%
Apr 2010136,737.301.01%
May 2010143,656.805.06%
Jun 2010146,167.401.75%
Jul 2010140,757.60-3.70%
Aug 2010138,100.00-1.89%
Sep 2010138,034.00-0.05%
Oct 2010133,867.60-3.02%
Nov 2010134,581.300.53%
Dec 2010150,588.7011.89%
Jan 2011154,734.802.75%
Feb 2011149,414.80-3.44%
Mar 2011151,833.601.62%
Apr 2011166,864.709.90%
May 2011164,270.90-1.55%
Jun 2011158,413.40-3.57%
Jul 2011157,012.30-0.88%
Aug 2011146,930.20-6.42%
Sep 2011193,609.3031.77%
Oct 2011195,322.200.88%
Nov 2011186,825.70-4.35%
Dec 2011183,303.20-1.89%
Jan 2012199,747.408.97%
Feb 2012217,180.408.73%
Mar 2012223,144.202.75%
Apr 2012219,787.30-1.50%
May 2012203,878.40-7.24%
Jun 2012198,746.30-2.52%
Jul 2012189,158.10-4.82%
Aug 2012171,995.80-9.07%
Sep 2012166,402.40-3.25%
Oct 2012168,501.501.26%
Nov 2012170,584.301.24%
Dec 2012164,542.70-3.54%
Jan 2013247,861.5050.64%
Feb 2013242,769.90-2.05%
Mar 2013225,712.20-7.03%
Apr 2013219,943.30-2.56%
May 2013220,642.900.32%
Jun 2013217,548.50-1.40%
Jul 2013210,328.20-3.32%
Aug 2013205,132.00-2.47%
Sep 2013202,043.90-1.51%
Oct 2013199,296.30-1.36%
Nov 2013196,688.10-1.31%
Dec 2013182,394.90-7.27%
Jan 2014177,898.60-2.47%
Feb 2014177,897.100.00%
Mar 2014186,506.704.84%
Apr 2014183,020.70-1.87%
May 2014183,944.200.50%
Jun 2014195,733.906.41%
Jul 2014198,219.701.27%
Aug 2014200,615.001.21%
Sep 2014199,955.80-0.33%
Oct 2014204,946.102.50%
Nov 2014223,275.708.94%
Dec 2014224,327.500.47%
Jan 2015225,617.300.57%
Feb 2015221,547.70-1.80%
Mar 2015214,886.30-3.01%
Apr 2015214,161.40-0.34%
May 2015214,655.800.23%
Jun 2015204,664.20-4.65%
Jul 2015193,115.70-5.64%
Aug 2015193,199.600.04%
Sep 2015188,582.40-2.39%
Oct 2015192,282.601.96%
Nov 2015198,774.003.38%
Dec 2015199,833.200.53%
Jan 2016195,224.20-2.31%
Feb 2016193,985.10-0.63%
Mar 2016183,555.80-5.38%
Apr 2016182,561.10-0.54%
May 2016185,459.001.59%
Jun 2016187,156.500.92%
Jul 2016182,154.80-2.67%
Aug 2016181,582.40-0.31%
Sep 2016176,410.80-2.85%
Oct 2016169,937.50-3.67%
Nov 2016163,784.10-3.62%
Dec 2016160,166.20-2.21%
Jan 2017159,670.00-0.31%
Feb 2017151,022.50-5.42%
Mar 2017142,719.10-5.50%
Apr 2017143,301.500.41%
May 2017137,196.50-4.26%
Jun 2017135,027.60-1.58%
Jul 2017142,174.605.29%
Aug 2017147,067.603.44%
Sep 2017149,569.701.70%
Oct 2017145,556.50-2.68%
Nov 2017144,546.50-0.69%
Dec 2017154,748.107.06%
Jan 2018164,335.106.20%
Feb 2018162,064.70-1.38%
Mar 2018159,800.10-1.40%
Apr 2018157,137.10-1.67%
May 2018157,191.600.03%
Jun 2018159,689.801.59%
Jul 2018159,253.00-0.27%
Aug 2018158,796.00-0.29%
Sep 2018165,219.604.05%
Oct 2018173,813.505.20%
Nov 2018181,816.804.60%
Dec 2018179,853.20-1.08%
Jan 2019177,425.60-1.35%

Top Companies

Tecnologica de Alimentos (TASA)
Website: http://www.tasa.com.pe/
Location: San Isidro, Peru
Estimated Production: 230000 tonnes per year

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