Fishmeal Monthly Price - Forint per Metric Ton

Data as of March 2026

Range
Apr 2006 - Jan 2019: 270,063.400 (182.78%)
Chart

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

Unit: Forint 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
Apr 2006147,753.00-
May 2006148,563.800.55%
Jun 2006157,594.506.08%
Jul 2006166,170.905.44%
Aug 2006166,305.000.08%
Sep 2006173,041.304.05%
Oct 2006182,087.005.23%
Nov 2006170,614.40-6.30%
Dec 2006167,829.40-1.63%
Jan 2007177,584.405.81%
Feb 2007177,728.000.08%
Mar 2007176,806.40-0.52%
Apr 2007178,102.900.73%
May 2007220,640.4023.88%
Jun 2007252,854.4014.60%
Jul 2007248,819.20-1.60%
Aug 2007254,836.202.42%
Sep 2007222,753.80-12.59%
Oct 2007214,215.20-3.83%
Nov 2007214,941.000.34%
Dec 2007223,036.803.77%
Jan 2008214,144.30-3.99%
Feb 2008223,086.204.18%
Mar 2008213,047.60-4.50%
Apr 2008207,519.20-2.59%
May 2008201,067.70-3.11%
Jun 2008192,320.70-4.35%
Jul 2008168,909.80-12.17%
Aug 2008173,862.302.93%
Sep 2008187,961.708.11%
Oct 2008222,990.2018.64%
Nov 2008247,275.2010.89%
Dec 2008232,360.80-6.03%
Jan 2009252,382.208.62%
Feb 2009278,160.6010.21%
Mar 2009292,792.505.26%
Apr 2009285,045.80-2.65%
May 2009260,029.30-8.78%
Jun 2009253,077.80-2.67%
Jul 2009247,111.20-2.36%
Aug 2009230,137.10-6.87%
Sep 2009217,036.10-5.69%
Oct 2009195,805.70-9.78%
Nov 2009186,847.50-4.58%
Dec 2009204,146.909.26%
Jan 2010202,797.40-0.66%
Feb 2010204,971.301.07%
Mar 2010207,672.401.32%
Apr 2010211,960.602.06%
May 2010243,241.0014.76%
Jun 2010261,792.607.63%
Jul 2010253,216.90-3.28%
Aug 2010251,627.60-0.63%
Sep 2010254,864.101.29%
Oct 2010236,686.90-7.13%
Nov 2010240,632.901.67%
Dec 2010272,882.8013.40%
Jan 2011273,229.000.13%
Feb 2011254,757.40-6.76%
Mar 2011254,537.80-0.09%
Apr 2011271,134.406.52%
May 2011266,638.20-1.66%
Jun 2011255,147.50-4.31%
Jul 2011253,612.60-0.60%
Aug 2011243,549.10-3.97%
Sep 2011343,478.8041.03%
Oct 2011364,886.506.23%
Nov 2011364,061.80-0.23%
Dec 2011349,937.00-3.88%
Jan 2012383,719.809.65%
Feb 2012386,711.800.78%
Mar 2012390,334.300.94%
Apr 2012389,633.70-0.18%
May 2012367,616.30-5.65%
Jun 2012365,286.90-0.63%
Jul 2012350,499.00-4.05%
Aug 2012321,683.50-8.22%
Sep 2012298,916.50-7.08%
Oct 2012295,642.30-1.10%
Nov 2012295,788.100.05%
Dec 2012283,457.30-4.17%
Jan 2013425,775.9050.21%
Feb 2013415,750.70-2.35%
Mar 2013421,437.901.37%
Apr 2013424,797.500.80%
May 2013411,019.00-3.24%
Jun 2013400,449.20-2.57%
Jul 2013387,377.60-3.26%
Aug 2013385,561.70-0.47%
Sep 2013374,952.30-2.75%
Oct 2013357,024.60-4.78%
Nov 2013356,377.60-0.18%
Dec 2013341,083.70-4.29%
Jan 2014340,855.90-0.07%
Feb 2014353,772.303.79%
Mar 2014372,373.105.26%
Apr 2014362,510.20-2.65%
May 2014361,791.50-0.20%
Jun 2014387,276.907.04%
Jul 2014396,611.302.41%
Aug 2014407,471.002.74%
Sep 2014407,584.800.03%
Oct 2014411,905.001.06%
Nov 2014444,575.407.93%
Dec 2014451,652.901.59%
Jan 2015466,834.103.36%
Feb 2015453,501.50-2.86%
Mar 2015439,993.30-2.98%
Apr 2015436,398.50-0.82%
May 2015444,389.501.83%
Jun 2015430,680.10-3.08%
Jul 2015407,740.50-5.33%
Aug 2015410,173.400.60%
Sep 2015409,905.30-0.07%
Oct 2015421,290.702.78%
Nov 2015440,905.404.66%
Dec 2015444,045.500.71%
Jan 2016434,230.40-2.21%
Feb 2016422,874.90-2.62%
Mar 2016404,898.30-4.25%
Apr 2016405,058.100.04%
May 2016416,987.302.95%
Jun 2016423,464.301.55%
Jul 2016424,390.200.22%
Aug 2016426,355.300.46%
Sep 2016423,068.00-0.77%
Oct 2016414,309.30-2.07%
Nov 2016416,648.200.56%
Dec 2016420,987.801.04%
Jan 2017406,502.40-3.44%
Feb 2017391,596.90-3.67%
Mar 2017378,281.30-3.40%
Apr 2017376,864.10-0.37%
May 2017373,470.30-0.90%
Jun 2017366,117.90-1.97%
Jul 2017361,142.80-1.36%
Aug 2017357,036.70-1.14%
Sep 2017363,966.201.94%
Oct 2017363,218.30-0.21%
Nov 2017368,328.401.41%
Dec 2017390,897.306.13%
Jan 2018405,342.303.70%
Feb 2018405,108.60-0.06%
Mar 2018406,297.400.29%
Apr 2018400,543.40-1.42%
May 2018404,809.201.07%
Jun 2018413,013.002.03%
Jul 2018415,817.300.68%
Aug 2018412,513.10-0.79%
Sep 2018415,536.600.73%
Oct 2018418,858.900.80%
Nov 2018420,038.500.28%
Dec 2018419,778.30-0.06%
Jan 2019417,816.40-0.47%

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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