Fishmeal Monthly Price - Trinidad and Tobago Dollar per Metric Ton

Data as of March 2026

Range
Apr 2006 - Mar 2026: 8,085.254 (187.91%)
Chart

Description: Fishmeal, Peru Fish meal/pellets 65% protein, CIF, Trinidad and Tobago Dollar per Metric Ton

Unit: Trinidad and Tobago Dollar 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 20064,302.67-
May 20064,545.125.64%
Jun 20064,611.961.47%
Jul 20064,774.623.53%
Aug 20064,857.691.74%
Sep 20065,025.583.46%
Oct 20065,393.647.32%
Nov 20065,336.35-1.06%
Dec 20065,492.482.93%
Jan 20075,718.854.12%
Feb 20075,763.960.79%
Mar 20075,906.732.48%
Apr 20076,163.094.34%
May 20077,548.6722.48%
Jun 20078,528.1212.98%
Jul 20078,722.242.28%
Aug 20078,577.33-1.66%
Sep 20077,699.85-10.23%
Oct 20077,666.24-0.44%
Nov 20077,827.402.10%
Dec 20078,088.763.34%
Jan 20087,758.16-4.09%
Feb 20087,910.511.96%
Mar 20088,022.181.41%
Apr 20088,127.031.31%
May 20087,911.44-2.65%
Jun 20087,615.31-3.74%
Jul 20087,140.21-6.24%
Aug 20086,873.66-3.73%
Sep 20086,994.331.76%
Oct 20087,199.042.93%
Nov 20087,439.363.34%
Dec 20087,391.95-0.64%
Jan 20097,472.181.09%
Feb 20097,446.69-0.34%
Mar 20097,852.325.45%
Apr 20097,991.611.77%
May 20097,905.07-1.08%
Jun 20097,948.320.55%
Jul 20098,060.351.41%
Aug 20097,684.84-4.66%
Sep 20097,341.28-4.47%
Oct 20096,839.90-6.83%
Nov 20096,516.42-4.73%
Dec 20096,944.076.56%
Jan 20106,828.75-1.66%
Feb 20106,555.73-4.00%
Mar 20106,739.522.80%
Apr 20106,806.831.00%
May 20107,025.723.22%
Jun 20107,209.542.62%
Jul 20107,236.170.37%
Aug 20107,324.791.22%
Sep 20107,501.102.41%
Oct 20107,603.461.36%
Nov 20107,631.900.37%
Dec 20108,292.288.65%
Jan 20118,473.742.19%
Feb 20118,195.05-3.29%
Mar 20118,432.652.90%
Apr 20119,456.1112.14%
May 20119,186.08-2.86%
Jun 20118,821.13-3.97%
Jul 20118,657.61-1.85%
Aug 201111,512.5332.98%
Sep 201110,606.61-7.87%
Oct 201110,775.121.59%
Nov 201110,220.08-5.15%
Dec 20119,709.75-4.99%
Jan 201210,339.306.48%
Feb 201211,257.458.88%
Mar 201211,316.720.53%
Apr 201211,097.52-1.94%
May 201210,286.13-7.31%
Jun 20129,978.96-2.99%
Jul 20129,643.67-3.36%
Aug 20129,154.51-5.07%
Sep 20128,678.31-5.20%
Oct 20128,704.340.30%
Nov 20128,567.65-1.57%
Dec 20128,363.02-2.39%
Jan 201312,336.0847.51%
Feb 201312,170.51-1.34%
Mar 201311,548.75-5.11%
Apr 201311,864.482.73%
May 201311,693.10-1.44%
Jun 201311,454.72-2.04%
Jul 201311,025.56-3.75%
Aug 201311,005.66-0.18%
Sep 201310,719.31-2.60%
Oct 201310,597.52-1.14%
Nov 201310,377.96-2.07%
Dec 20139,977.32-3.86%
Jan 20149,863.60-1.14%
Feb 20149,997.211.35%
Mar 201410,615.676.19%
Apr 201410,503.48-1.06%
May 201410,506.170.03%
Jun 201410,995.374.66%
Jul 201411,024.780.27%
Aug 201410,967.19-0.52%
Sep 201410,654.80-2.85%
Oct 201410,760.820.99%
Nov 201411,444.086.35%
Dec 201411,419.15-0.22%
Jan 201510,878.48-4.73%
Feb 201510,637.99-2.21%
Mar 20159,969.73-6.28%
Apr 20159,963.35-0.06%
May 201510,276.633.14%
Jun 20159,808.03-4.56%
Jul 20159,135.08-6.86%
Aug 20159,290.031.70%
Sep 20159,331.780.45%
Oct 20159,638.763.29%
Nov 20159,714.700.79%
Dec 20159,841.311.30%
Jan 20169,637.36-2.07%
Feb 20169,803.311.72%
Mar 20169,473.44-3.36%
Apr 20169,731.952.73%
May 20169,964.612.39%
Jun 201610,073.751.10%
Jul 20169,963.78-1.09%
Aug 201610,334.493.72%
Sep 201610,323.14-0.11%
Oct 20169,997.17-3.16%
Nov 20169,849.35-1.48%
Dec 20169,613.63-2.39%
Jan 20179,437.07-1.84%
Feb 20179,125.68-3.30%
Mar 20178,808.50-3.48%
Apr 20178,762.19-0.53%
May 20178,984.062.53%
Jun 20178,995.120.12%
Jul 20179,153.541.76%
Aug 20179,362.122.28%
Sep 20179,502.311.50%
Oct 20179,320.50-1.91%
Nov 20179,355.060.37%
Dec 20179,985.716.74%
Jan 201810,788.138.04%
Feb 201810,841.360.49%
Mar 201810,842.920.01%
Apr 201810,659.25-1.69%
May 201810,219.06-4.13%
Jun 201810,109.85-1.07%
Jul 201810,108.97-0.01%
Aug 20189,966.71-1.41%
Sep 201810,080.331.14%
Oct 201810,035.63-0.44%
Nov 20189,991.59-0.44%
Dec 201810,014.560.23%
Jan 201910,048.370.34%
Feb 20199,938.23-1.10%
Mar 20199,975.580.38%
Apr 201910,173.571.98%
May 201910,209.440.35%
Jun 201910,282.220.71%
Jul 201910,108.81-1.69%
Aug 20199,702.33-4.02%
Sep 20199,357.23-3.56%
Oct 20199,183.33-1.86%
Nov 20199,185.330.02%
Dec 20199,229.720.48%
Jan 20209,320.460.98%
Feb 20209,212.89-1.15%
Mar 20209,457.272.65%
Apr 20209,385.23-0.76%
May 20209,411.240.28%
Jun 20209,804.704.18%
Jul 202010,039.382.39%
Aug 20209,984.61-0.55%
Sep 20209,924.09-0.61%
Oct 20209,705.32-2.20%
Nov 20209,735.670.31%
Dec 202010,124.924.00%
Jan 202110,117.26-0.08%
Feb 20219,984.51-1.31%
Mar 20219,983.68-0.01%
Apr 202110,052.030.68%
May 202110,237.991.85%
Jun 202110,142.83-0.93%
Jul 202110,161.630.19%
Aug 202110,168.950.07%
Sep 202110,030.64-1.36%
Oct 20219,877.03-1.53%
Nov 20219,724.86-1.54%
Dec 20219,625.38-1.02%
Jan 20229,665.680.42%
Feb 20229,763.781.02%
Mar 202210,236.354.84%
Apr 202211,101.168.45%
May 202211,028.85-0.65%
Jun 202210,868.06-1.46%
Jul 202210,683.70-1.70%
Aug 202210,953.562.53%
Sep 202210,971.230.16%
Oct 202210,936.25-0.32%
Nov 202211,328.113.58%
Dec 202211,790.954.09%
Jan 202312,027.152.00%
Feb 202311,890.43-1.14%
Mar 202311,616.21-2.31%
Apr 202311,853.892.05%
May 202312,071.351.83%
Jun 202312,217.201.21%
Jul 202312,686.063.84%
Aug 202312,699.670.11%
Sep 202312,480.43-1.73%
Oct 202312,371.18-0.88%
Nov 202312,616.051.98%
Dec 202312,483.06-1.05%
Jan 202412,054.00-3.44%
Feb 202411,688.22-3.03%
Mar 202411,653.44-0.30%
Apr 202411,485.86-1.44%
May 202411,593.260.94%
Jun 202411,673.000.69%
Jul 202411,729.730.49%
Aug 202411,701.90-0.24%
Sep 202411,384.87-2.71%
Oct 202411,060.37-2.85%
Nov 202410,815.33-2.22%
Dec 202410,789.44-0.24%
Jan 202510,675.26-1.06%
Feb 202510,741.220.62%
Mar 202511,114.163.47%
Apr 202511,343.762.07%
May 202511,240.27-0.91%
Jun 202511,384.731.29%
Jul 202511,629.362.15%
Aug 202511,760.881.13%
Sep 202511,935.041.48%
Oct 202511,930.57-0.04%
Nov 202512,099.171.41%
Dec 202512,315.121.78%
Jan 202612,287.05-0.23%
Feb 202612,388.860.83%
Mar 202612,387.92-0.01%

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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