Fishmeal Monthly Price - Pakistan Rupee per Metric Ton

Data as of March 2026

Range
Apr 2006 - Jan 2019: 165,342.100 (403.55%)
Chart

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

Unit: Pakistan Rupee 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 200640,971.42-
May 200643,424.205.99%
Jun 200644,137.611.64%
Jul 200645,785.543.73%
Aug 200646,884.922.40%
Sep 200648,524.213.50%
Oct 200652,079.397.33%
Nov 200651,532.30-1.05%
Dec 200653,152.633.14%
Jan 200755,318.874.08%
Feb 200755,722.020.73%
Mar 200756,867.062.05%
Apr 200759,403.454.46%
May 200772,806.2622.56%
Jun 200782,141.4812.82%
Jul 200783,546.201.71%
Aug 200782,290.37-1.50%
Sep 200774,021.49-10.05%
Oct 200773,740.02-0.38%
Nov 200775,699.802.66%
Dec 200778,536.363.75%
Jan 200875,297.79-4.12%
Feb 200876,861.372.08%
Mar 200877,984.801.46%
Apr 200882,138.195.33%
May 200885,809.524.47%
Jun 200883,092.80-3.17%
Jul 200881,374.98-2.07%
Aug 200882,325.451.17%
Sep 200886,821.345.46%
Oct 200892,712.806.79%
Nov 200895,010.122.48%
Dec 200893,388.58-1.71%
Jan 200994,492.031.18%
Feb 200994,878.530.41%
Mar 2009100,798.706.24%
Apr 2009102,625.101.81%
May 2009101,538.60-1.06%
Jun 2009102,502.600.95%
Jul 2009105,171.502.60%
Aug 2009100,895.30-4.07%
Sep 200996,353.77-4.50%
Oct 200989,917.52-6.68%
Nov 200985,977.19-4.38%
Dec 200991,964.646.96%
Jan 201091,034.84-1.01%
Feb 201087,877.17-3.47%
Mar 201089,633.222.00%
Apr 201090,067.930.48%
May 201093,496.203.81%
Jun 201097,037.633.79%
Jul 201097,545.080.52%
Aug 201099,031.771.52%
Sep 2010101,498.802.49%
Oct 2010103,041.101.52%
Nov 2010102,950.90-0.09%
Dec 2010111,611.308.41%
Jan 2011113,613.101.79%
Feb 2011109,486.30-3.63%
Mar 2011112,535.602.79%
Apr 2011125,073.3011.14%
May 2011122,309.10-2.21%
Jun 2011118,199.10-3.36%
Jul 2011116,366.70-1.55%
Aug 2011111,296.70-4.36%
Sep 2011145,084.7030.36%
Oct 2011146,487.600.97%
Nov 2011138,873.30-5.20%
Dec 2011135,516.90-2.42%
Jan 2012145,921.707.68%
Feb 2012159,760.209.48%
Mar 2012160,417.800.41%
Apr 2012157,318.90-1.93%
May 2012146,650.80-6.78%
Jun 2012146,926.400.19%
Jul 2012141,976.80-3.37%
Aug 2012135,293.60-4.71%
Sep 2012128,186.10-5.25%
Oct 2012129,760.501.23%
Nov 2012128,653.80-0.85%
Dec 2012126,769.80-1.46%
Jan 2013187,947.8048.26%
Feb 2013186,384.90-0.83%
Mar 2013176,809.30-5.14%
Apr 2013182,094.802.99%
May 2013179,532.00-1.41%
Jun 2013176,225.60-1.84%
Jul 2013173,201.70-1.72%
Aug 2013176,749.702.05%
Sep 2013175,991.20-0.43%
Oct 2013175,548.80-0.25%
Nov 2013173,667.30-1.07%
Dec 2013166,258.30-4.27%
Jan 2014162,102.00-2.50%
Feb 2014163,787.701.04%
Mar 2014164,912.700.69%
Apr 2014159,142.70-3.50%
May 2014161,198.001.29%
Jun 2014169,626.705.23%
Jul 2014171,306.400.99%
Aug 2014173,547.901.31%
Sep 2014172,150.80-0.81%
Oct 2014174,581.901.41%
Nov 2014184,141.205.48%
Dec 2014181,225.80-1.58%
Jan 2015172,717.30-4.69%
Feb 2015170,298.00-1.40%
Mar 2015159,992.10-6.05%
Apr 2015159,745.00-0.15%
May 2015165,024.403.30%
Jun 2015157,556.80-4.53%
Jul 2015146,605.30-6.95%
Aug 2015150,198.002.45%
Sep 2015153,611.402.27%
Oct 2015159,047.603.54%
Nov 2015160,145.700.69%
Dec 2015161,014.000.54%
Jan 2016157,255.80-2.33%
Feb 2016158,337.400.69%
Mar 2016151,200.80-4.51%
Apr 2016154,451.302.15%
May 2016157,237.201.80%
Jun 2016158,814.801.00%
Jul 2016156,575.40-1.41%
Aug 2016161,294.703.01%
Sep 2016160,839.80-0.28%
Oct 2016155,837.70-3.11%
Nov 2016153,003.00-1.82%
Dec 2016149,221.70-2.47%
Jan 2017146,534.00-1.80%
Feb 2017141,617.60-3.36%
Mar 2017136,905.90-3.33%
Apr 2017136,057.70-0.62%
May 2017139,483.902.52%
Jun 2017139,780.800.21%
Jul 2017143,137.302.40%
Aug 2017146,091.202.06%
Sep 2017148,219.701.46%
Oct 2017145,399.30-1.90%
Nov 2017146,110.200.49%
Dec 2017161,050.9010.23%
Jan 2018176,498.409.59%
Feb 2018177,547.700.59%
Mar 2018179,882.501.32%
Apr 2018182,410.301.41%
May 2018174,957.80-4.09%
Jun 2018178,472.802.01%
Jul 2018187,101.804.83%
Aug 2018183,066.60-2.16%
Sep 2018185,464.601.31%
Oct 2018194,858.805.07%
Nov 2018198,070.501.65%
Dec 2018205,296.603.65%
Jan 2019206,313.500.50%

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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