Fishmeal Monthly Price - Brunei Dollar per Metric Ton

Data as of March 2026

Range
Sep 1998 - Mar 2026: 1,214.382 (107.00%)
Chart

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

Unit: Brunei 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
Sep 19981,134.89-
Oct 19981,078.90-4.93%
Nov 1998978.55-9.30%
Dec 1998886.98-9.36%
Jan 1999741.86-16.36%
Feb 1999720.84-2.83%
Mar 1999699.93-2.90%
Apr 1999666.40-4.79%
May 1999637.80-4.29%
Jun 1999726.2313.87%
Jul 1999729.040.39%
Aug 1999684.16-6.16%
Sep 1999670.23-2.04%
Oct 1999635.74-5.15%
Nov 1999628.71-1.11%
Dec 1999733.6216.69%
Jan 2000743.361.33%
Feb 2000726.12-2.32%
Mar 2000698.80-3.76%
Apr 2000668.48-4.34%
May 2000647.91-3.08%
Jun 2000732.7713.10%
Jul 2000747.892.06%
Aug 2000700.44-6.34%
Sep 2000686.87-1.94%
Oct 2000664.03-3.33%
Nov 2000657.82-0.93%
Dec 2000761.1015.70%
Jan 2001843.5010.83%
Feb 2001802.31-4.88%
Mar 2001763.76-4.81%
Apr 2001760.70-0.40%
May 2001738.42-2.93%
Jun 2001755.082.26%
Jul 2001808.547.08%
Aug 2001867.047.24%
Sep 2001872.420.62%
Oct 2001889.952.01%
Nov 2001921.843.58%
Dec 2001979.696.27%
Jan 20021,080.5810.30%
Feb 20021,139.035.41%
Mar 20021,139.960.08%
Apr 20021,174.072.99%
May 20021,217.383.69%
Jun 20021,202.14-1.25%
Jul 20021,152.72-4.11%
Aug 20021,139.31-1.16%
Sep 20021,140.820.13%
Oct 20021,138.71-0.18%
Nov 20021,106.47-2.83%
Dec 20021,091.55-1.35%
Jan 20031,110.291.72%
Feb 20031,098.75-1.04%
Mar 20031,087.46-1.03%
Apr 20031,069.14-1.69%
May 20031,092.672.20%
Jun 20031,139.734.31%
Jul 20031,129.87-0.87%
Aug 20031,092.02-3.35%
Sep 20031,095.700.34%
Oct 20031,128.222.97%
Nov 20031,168.693.59%
Dec 20031,170.670.17%
Jan 20041,158.54-1.04%
Feb 20041,155.00-0.31%
Mar 20041,126.94-2.43%
Apr 20041,097.98-2.57%
May 20041,099.990.18%
Jun 20041,103.870.35%
Jul 20041,092.29-1.05%
Aug 20041,069.78-2.06%
Sep 20041,059.75-0.94%
Oct 20041,055.34-0.42%
Nov 20041,061.620.60%
Dec 20041,073.421.11%
Jan 20051,165.448.57%
Feb 20051,170.470.43%
Mar 20051,127.93-3.64%
Apr 20051,124.47-0.31%
May 20051,107.81-1.48%
Jun 20051,124.751.53%
Jul 20051,119.53-0.46%
Aug 20051,082.23-3.33%
Sep 20051,095.881.26%
Oct 20051,109.441.24%
Nov 20051,139.872.74%
Dec 20051,142.280.21%
Jan 20061,069.80-6.35%
Feb 20061,089.131.81%
Mar 20061,104.681.43%
Apr 20061,093.81-0.98%
May 20061,140.314.25%
Jun 20061,166.412.29%
Jul 20061,202.403.09%
Aug 20061,224.621.85%
Sep 20061,266.623.43%
Oct 20061,357.137.15%
Nov 20061,321.83-2.60%
Dec 20061,344.691.73%
Jan 20071,396.973.89%
Feb 20071,406.260.66%
Mar 20071,428.421.58%
Apr 20071,481.833.74%
May 20071,826.5923.27%
Jun 20072,080.9913.93%
Jul 20072,096.250.73%
Aug 20072,072.55-1.13%
Sep 20071,846.77-10.89%
Oct 20071,782.13-3.50%
Nov 20071,796.940.83%
Dec 20071,858.763.44%
Jan 20081,760.66-5.28%
Feb 20081,771.180.60%
Mar 20081,761.58-0.54%
Apr 20081,758.81-0.16%
May 20081,729.62-1.66%
Jun 20081,686.90-2.47%
Jul 20081,560.67-7.48%
Aug 20081,549.05-0.74%
Sep 20081,603.833.54%
Oct 20081,703.676.23%
Nov 20081,789.375.03%
Dec 20081,749.77-2.21%
Jan 20091,773.981.38%
Feb 20091,809.321.99%
Mar 20091,918.566.04%
Apr 20091,917.09-0.08%
May 20091,839.72-4.04%
Jun 20091,835.23-0.24%
Jul 20091,854.031.02%
Aug 20091,755.08-5.34%
Sep 20091,655.02-5.70%
Oct 20091,509.22-8.81%
Nov 20091,429.24-5.30%
Dec 20091,526.156.78%
Jan 20101,501.50-1.62%
Feb 20101,461.05-2.69%
Mar 20101,486.071.71%
Apr 20101,481.80-0.29%
May 20101,543.144.14%
Jun 20101,589.523.01%
Jul 20101,570.40-1.20%
Aug 20101,566.91-0.22%
Sep 20101,578.800.76%
Oct 20101,562.84-1.01%
Nov 20101,557.19-0.36%
Dec 20101,703.029.37%
Jan 20111,706.380.20%
Feb 20111,639.06-3.95%
Mar 20111,672.622.05%
Apr 20111,843.1510.20%
May 20111,776.20-3.63%
Jun 20111,699.97-4.29%
Jul 20111,643.22-3.34%
Aug 20111,551.50-5.58%
Sep 20112,076.6733.85%
Oct 20112,157.613.90%
Nov 20112,056.40-4.69%
Dec 20111,963.81-4.50%
Jan 20122,068.205.32%
Feb 20122,207.276.72%
Mar 20122,223.110.72%
Apr 20122,170.27-2.38%
May 20122,029.26-6.50%
Jun 20121,992.19-1.83%
Jul 20121,896.30-4.81%
Aug 20121,786.74-5.78%
Sep 20121,667.17-6.69%
Oct 20121,665.32-0.11%
Nov 20121,638.20-1.63%
Dec 20121,590.91-2.89%
Jan 20132,366.5948.76%
Feb 20132,353.32-0.56%
Mar 20132,245.88-4.57%
Apr 20132,291.162.02%
May 20132,274.17-0.74%
Jun 20132,252.19-0.97%
Jul 20132,180.39-3.19%
Aug 20132,184.090.17%
Sep 20132,109.44-3.42%
Oct 20132,054.00-2.63%
Nov 20132,012.95-2.00%
Dec 20131,954.25-2.92%
Jan 20141,954.980.04%
Feb 20141,973.090.93%
Mar 20142,093.576.11%
Apr 20142,045.83-2.28%
May 20142,043.32-0.12%
Jun 20142,154.075.42%
Jul 20142,155.330.06%
Aug 20142,159.050.17%
Sep 20142,121.15-1.76%
Oct 20142,161.191.89%
Nov 20142,339.408.25%
Dec 20142,360.370.90%
Jan 20152,292.36-2.88%
Feb 20152,271.82-0.90%
Mar 20152,163.02-4.79%
Apr 20152,118.23-2.07%
May 20152,161.682.05%
Jun 20152,082.31-3.67%
Jul 20151,960.02-5.87%
Aug 20152,052.304.71%
Sep 20152,081.451.42%
Oct 20152,131.452.40%
Nov 20152,144.860.63%
Dec 20152,164.200.90%
Jan 20162,147.90-0.75%
Feb 20162,126.56-0.99%
Mar 20161,986.24-6.60%
Apr 20161,991.640.27%
May 20162,056.233.24%
Jun 20162,057.090.04%
Jul 20162,017.73-1.91%
Aug 20162,073.902.78%
Sep 20162,088.410.70%
Oct 20162,057.02-1.50%
Nov 20162,055.22-0.09%
Dec 20162,044.52-0.52%
Jan 20171,997.81-2.28%
Feb 20171,912.10-4.29%
Mar 20171,835.27-4.02%
Apr 20171,814.08-1.15%
May 20171,855.902.31%
Jun 20171,844.63-0.61%
Jul 20171,858.750.77%
Aug 20171,886.191.48%
Sep 20171,897.300.59%
Oct 20171,875.93-1.13%
Nov 20171,880.250.23%
Dec 20171,988.655.77%
Jan 20182,111.666.19%
Feb 20182,120.260.41%
Mar 20182,108.80-0.54%
Apr 20182,074.77-1.61%
May 20182,025.89-2.36%
Jun 20182,013.74-0.60%
Jul 20182,039.831.30%
Aug 20182,019.74-0.98%
Sep 20182,047.211.36%
Oct 20182,048.220.05%
Nov 20182,035.02-0.64%
Dec 20182,028.65-0.31%
Jan 20192,015.89-0.63%
Feb 20191,992.98-1.14%
Mar 20191,998.600.28%
Apr 20192,041.452.14%
May 20192,071.721.48%
Jun 20192,074.830.15%
Jul 20192,035.82-1.88%
Aug 20191,990.23-2.24%
Sep 20191,911.46-3.96%
Oct 20191,866.00-2.38%
Nov 20191,852.51-0.72%
Dec 20191,856.800.23%
Jan 20201,863.740.37%
Feb 20201,895.411.70%
Mar 20201,980.484.49%
Apr 20201,981.300.04%
May 20201,977.91-0.17%
Jun 20202,022.442.25%
Jul 20202,063.222.02%
Aug 20202,027.08-1.75%
Sep 20202,008.77-0.90%
Oct 20201,955.53-2.65%
Nov 20201,945.99-0.49%
Dec 20201,998.292.69%
Jan 20211,982.84-0.77%
Feb 20211,964.55-0.92%
Mar 20211,981.770.88%
Apr 20211,984.170.12%
May 20212,015.041.56%
Jun 20212,002.59-0.62%
Jul 20212,038.131.77%
Aug 20212,038.100.00%
Sep 20212,000.28-1.86%
Oct 20211,975.01-1.26%
Nov 20211,952.38-1.15%
Dec 20211,943.12-0.47%
Jan 20221,929.59-0.70%
Feb 20221,944.800.79%
Mar 20222,058.905.87%
Apr 20222,245.209.05%
May 20222,260.000.66%
Jun 20222,224.97-1.55%
Jul 20222,205.68-0.87%
Aug 20222,247.151.88%
Sep 20222,295.272.14%
Oct 20222,310.170.65%
Nov 20222,329.570.84%
Dec 20222,362.441.41%
Jan 20232,362.01-0.02%
Feb 20232,344.91-0.72%
Mar 20232,309.06-1.53%
Apr 20232,337.901.25%
May 20232,392.672.34%
Jun 20232,436.351.83%
Jul 20232,505.552.84%
Aug 20232,542.561.48%
Sep 20232,525.71-0.66%
Oct 20232,509.21-0.65%
Nov 20232,523.240.56%
Dec 20232,467.19-2.22%
Jan 20242,387.42-3.23%
Feb 20242,328.04-2.49%
Mar 20242,312.03-0.69%
Apr 20242,309.34-0.12%
May 20242,322.280.56%
Jun 20242,338.450.70%
Jul 20242,342.070.15%
Aug 20242,280.91-2.61%
Sep 20242,184.98-4.21%
Oct 20242,145.12-1.82%
Nov 20242,139.58-0.26%
Dec 20242,153.430.65%
Jan 20252,153.22-0.01%
Feb 20252,145.43-0.36%
Mar 20252,197.732.44%
Apr 20252,226.961.33%
May 20252,153.42-3.30%
Jun 20252,167.950.67%
Jul 20252,206.721.79%
Aug 20252,240.801.54%
Sep 20252,272.691.42%
Oct 20252,290.550.79%
Nov 20252,339.232.13%
Dec 20252,357.440.78%
Jan 20262,339.08-0.78%
Feb 20262,332.93-0.26%
Mar 20262,349.270.70%

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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