Fishmeal Monthly Price - Uruguayan Peso per Metric Ton

Data as of March 2026

Range
May 2011 - Mar 2026: 46,887.540 (173.51%)
Chart

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

Unit: Uruguayan Peso 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 201127,022.48-
Jun 201125,497.15-5.64%
Jul 201124,956.00-2.12%
Aug 201124,066.20-3.57%
Sep 201132,414.3134.69%
Oct 201133,586.733.62%
Nov 201131,664.95-5.72%
Dec 201130,248.97-4.47%
Jan 201231,705.664.82%
Feb 201234,237.677.99%
Mar 20121,666,248.004,766.71%
Apr 201234,121.41-97.95%
May 201232,411.76-5.01%
Jun 201233,786.374.24%
Jul 201232,747.03-3.08%
Aug 201230,479.10-6.93%
Sep 201228,743.98-5.69%
Oct 201227,414.62-4.62%
Nov 201226,493.58-3.36%
Dec 201225,171.44-4.99%
Jan 201337,254.1848.00%
Feb 201336,343.62-2.44%
Mar 201334,209.70-5.87%
Apr 201335,126.452.68%
May 201334,983.14-0.41%
Jun 201336,900.525.48%
Jul 201336,213.56-1.86%
Aug 201337,381.773.23%
Sep 201336,930.91-1.21%
Oct 201335,685.56-3.37%
Nov 201334,461.58-3.43%
Dec 201333,130.22-3.86%
Jan 201433,241.890.34%
Feb 201434,731.394.48%
Mar 201437,347.907.53%
Apr 201437,148.68-0.53%
May 201437,511.970.98%
Jun 201439,441.205.14%
Jul 201439,766.680.83%
Aug 201440,934.372.94%
Sep 201440,727.31-0.51%
Oct 201441,204.321.17%
Nov 201443,389.675.30%
Dec 201443,224.58-0.38%
Jan 201541,886.95-3.09%
Feb 201541,172.93-1.70%
Mar 201539,645.26-3.71%
Apr 201541,296.464.16%
May 201543,028.624.19%
Jun 201541,434.57-3.70%
Jul 201539,788.84-3.97%
Aug 201541,709.944.83%
Sep 201542,352.981.54%
Oct 201544,584.405.27%
Nov 201544,699.900.26%
Dec 201545,664.972.16%
Jan 201646,116.740.99%
Feb 201647,723.323.48%
Mar 201646,432.24-2.71%
Apr 201646,683.770.54%
May 201647,178.491.06%
Jun 201646,620.59-1.18%
Jul 201644,794.72-3.92%
Aug 201644,467.29-0.73%
Sep 201644,210.86-0.58%
Oct 201641,774.94-5.51%
Nov 201641,784.480.02%
Dec 201640,946.70-2.01%
Jan 201739,891.67-2.58%
Feb 201738,403.16-3.73%
Mar 201737,052.37-3.52%
Apr 201736,851.64-0.54%
May 201737,420.481.54%
Jun 201737,796.621.01%
Jul 201738,852.802.79%
Aug 201739,698.732.18%
Sep 201740,618.872.32%
Oct 201740,531.55-0.21%
Nov 201740,482.71-0.12%
Dec 201742,598.005.23%
Jan 201845,563.926.96%
Feb 201845,751.610.41%
Mar 201845,497.32-0.56%
Apr 201844,639.25-1.89%
May 201846,149.073.38%
Jun 201846,851.161.52%
Jul 201846,623.65-0.49%
Aug 201846,147.00-1.02%
Sep 201849,091.906.38%
Oct 201848,835.96-0.52%
Nov 201848,144.25-1.42%
Dec 201847,646.46-1.03%
Jan 201948,427.131.64%
Feb 201947,985.53-0.91%
Mar 201949,150.462.43%
Apr 201951,376.584.53%
May 201953,155.633.46%
Jun 201953,658.000.95%
Jul 201952,091.82-2.92%
Aug 201951,556.25-1.03%
Sep 201950,813.11-1.44%
Oct 201950,712.71-0.20%
Nov 201951,152.400.87%
Dec 201951,450.480.58%
Jan 202051,545.120.18%
Feb 202051,830.850.55%
Mar 202060,706.0017.12%
Apr 202060,485.11-0.36%
May 202060,585.300.17%
Jun 202061,880.362.14%
Jul 202063,973.583.38%
Aug 202063,128.86-1.32%
Sep 202062,508.48-0.98%
Oct 202061,394.95-1.78%
Nov 202061,668.010.44%
Dec 202063,559.503.07%
Jan 202163,259.59-0.47%
Feb 202163,205.20-0.09%
Mar 202165,420.613.51%
Apr 202165,561.450.22%
May 202166,626.111.62%
Jun 202165,500.90-1.69%
Jul 202165,941.590.67%
Aug 202164,979.32-1.46%
Sep 202163,323.68-2.55%
Oct 202163,747.150.67%
Nov 202163,292.37-0.71%
Dec 202162,969.36-0.51%
Jan 202263,655.461.09%
Feb 202262,384.89-2.00%
Mar 202264,036.392.65%
Apr 202267,623.855.60%
May 202266,668.52-1.41%
Jun 202263,847.36-4.23%
Jul 202264,846.221.56%
Aug 202265,637.591.22%
Sep 202266,415.021.18%
Oct 202266,650.610.35%
Nov 202266,758.960.16%
Dec 202267,864.131.66%
Jan 202370,100.283.30%
Feb 202368,788.20-1.87%
Mar 202367,296.82-2.17%
Apr 202368,076.421.16%
May 202369,470.862.05%
Jun 202369,182.43-0.42%
Jul 202371,278.953.03%
Aug 202371,282.000.00%
Sep 202370,656.77-0.88%
Oct 202372,831.983.08%
Nov 202374,048.881.67%
Dec 202372,717.89-1.80%
Jan 202469,955.48-3.80%
Feb 202467,707.93-3.21%
Mar 202466,284.61-2.10%
Apr 202465,484.80-1.21%
May 202466,165.421.04%
Jun 202467,935.472.68%
Jul 202469,857.412.83%
Aug 202469,913.830.08%
Sep 202469,277.80-0.91%
Oct 202468,098.24-1.70%
Nov 202467,881.82-0.32%
Dec 202470,316.583.59%
Jan 202569,112.83-1.71%
Feb 202568,749.12-0.53%
Mar 202569,536.211.14%
Apr 202571,028.682.15%
May 202569,369.25-2.34%
Jun 202569,085.53-0.41%
Jul 202569,377.700.42%
Aug 202569,784.300.59%
Sep 202570,710.631.33%
Oct 202570,618.57-0.13%
Nov 202571,338.801.02%
Dec 202571,446.550.15%
Jan 202670,267.05-1.65%
Feb 202670,971.531.00%
Mar 202673,910.024.14%

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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