Fishmeal Monthly Price - Brazilian Real per Metric Ton

Data as of March 2026

Range
Mar 2006 - Mar 2026: 8,138.625 (555.45%)
Chart

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

Unit: Brazilian Real 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
Mar 20061,465.24-
Apr 20061,455.83-0.64%
May 20061,528.284.98%
Jun 20061,652.398.12%
Jul 20061,661.580.56%
Aug 20061,675.160.82%
Sep 20061,737.723.73%
Oct 20061,846.936.28%
Nov 20061,828.83-0.98%
Dec 20061,877.182.64%
Jan 20071,942.333.47%
Feb 20071,919.82-1.16%
Mar 20071,958.802.03%
Apr 20071,987.971.49%
May 20072,435.8122.53%
Jun 20072,602.876.86%
Jul 20072,604.310.06%
Aug 20072,660.402.15%
Sep 20072,316.71-12.92%
Oct 20072,193.56-5.32%
Nov 20072,197.400.17%
Dec 20072,292.644.33%
Jan 20082,182.61-4.80%
Feb 20082,167.52-0.69%
Mar 20082,163.43-0.19%
Apr 20082,185.301.01%
May 20082,104.38-3.70%
Jun 20081,995.74-5.16%
Jul 20081,828.16-8.40%
Aug 20081,775.89-2.86%
Sep 20082,019.1813.70%
Oct 20082,474.5022.55%
Nov 20082,704.479.29%
Dec 20082,810.913.94%
Jan 20092,749.46-2.19%
Feb 20092,751.750.08%
Mar 20092,920.556.13%
Apr 20092,802.69-4.04%
May 20092,608.86-6.92%
Jun 20092,474.00-5.17%
Jul 20092,475.490.06%
Aug 20092,243.89-9.36%
Sep 20092,115.78-5.71%
Oct 20091,875.29-11.37%
Nov 20091,774.04-5.40%
Dec 20091,909.467.63%
Jan 20101,906.02-0.18%
Feb 20101,909.530.18%
Mar 20101,895.91-0.71%
Apr 20101,885.57-0.55%
May 20101,997.515.94%
Jun 20102,054.912.87%
Jul 20102,018.07-1.79%
Aug 20102,033.340.76%
Sep 20102,034.210.04%
Oct 20102,009.11-1.23%
Nov 20102,058.122.44%
Dec 20102,208.047.28%
Jan 20112,216.940.40%
Feb 20112,138.63-3.53%
Mar 20112,185.592.20%
Apr 20112,351.777.60%
May 20112,313.89-1.61%
Jun 20112,185.22-5.56%
Jul 20112,113.42-3.29%
Aug 20112,048.60-3.07%
Sep 20112,881.4440.65%
Oct 20112,998.724.07%
Nov 20112,833.44-5.51%
Dec 20112,775.35-2.05%
Jan 20122,895.404.33%
Feb 20123,027.564.56%
Mar 20123,162.444.45%
Apr 20123,208.621.46%
May 20123,171.47-1.16%
Jun 20123,191.410.63%
Jul 20123,049.94-4.43%
Aug 20122,905.19-4.75%
Sep 20122,747.28-5.44%
Oct 20122,761.250.51%
Nov 20122,756.46-0.17%
Dec 20122,714.87-1.51%
Jan 20133,915.6844.23%
Feb 20133,751.32-4.20%
Mar 20133,569.67-4.84%
Apr 20133,706.933.85%
May 20133,700.10-0.18%
Jun 20133,873.104.68%
Jul 20133,865.91-0.19%
Aug 20134,009.053.70%
Sep 20133,793.38-5.38%
Oct 20133,622.31-4.51%
Nov 20133,695.802.03%
Dec 20133,641.45-1.47%
Jan 20143,659.200.49%
Feb 20143,722.761.74%
Mar 20143,850.543.43%
Apr 20143,640.92-5.44%
May 20143,627.21-0.38%
Jun 20143,853.256.23%
Jul 20143,852.44-0.02%
Aug 20143,924.441.87%
Sep 20143,907.09-0.44%
Oct 20144,156.996.40%
Nov 20144,599.6010.65%
Dec 20144,726.042.75%
Jan 20154,510.33-4.56%
Feb 20154,704.034.29%
Mar 20154,888.493.92%
Apr 20154,799.70-1.82%
May 20154,943.392.99%
Jun 20154,820.18-2.49%
Jul 20154,630.55-3.93%
Aug 20155,134.3710.88%
Sep 20155,726.9711.54%
Oct 20155,907.503.15%
Nov 20155,745.08-2.75%
Dec 20155,944.293.47%
Jan 20166,062.932.00%
Feb 20166,000.35-1.03%
Mar 20165,379.44-10.35%
Apr 20165,262.84-2.17%
May 20165,297.980.67%
Jun 20165,235.34-1.18%
Jul 20164,891.68-6.56%
Aug 20164,938.830.96%
Sep 20165,003.191.30%
Oct 20164,745.04-5.16%
Nov 20164,860.922.44%
Dec 20164,785.53-1.55%
Jan 20174,478.79-6.41%
Feb 20174,194.95-6.34%
Mar 20174,077.54-2.80%
Apr 20174,066.70-0.27%
May 20174,261.994.80%
Jun 20174,386.342.92%
Jul 20174,347.26-0.89%
Aug 20174,364.840.40%
Sep 20174,404.110.90%
Oct 20174,388.39-0.36%
Nov 20174,520.853.02%
Dec 20174,856.857.43%
Jan 20185,139.315.82%
Feb 20185,203.821.26%
Mar 20185,258.131.04%
Apr 20185,375.712.24%
May 20185,495.562.23%
Jun 20185,634.042.52%
Jul 20185,722.661.57%
Aug 20185,797.081.30%
Sep 20186,142.895.97%
Oct 20185,581.67-9.14%
Nov 20185,597.280.28%
Dec 20185,752.602.77%
Jan 20195,558.48-3.37%
Feb 20195,480.72-1.40%
Mar 20195,676.603.57%
Apr 20195,864.293.31%
May 20196,046.073.10%
Jun 20195,873.30-2.86%
Jul 20195,651.47-3.78%
Aug 20195,775.652.20%
Sep 20195,706.48-1.20%
Oct 20195,560.67-2.56%
Nov 20195,642.091.46%
Dec 20195,628.64-0.24%
Jan 20205,721.001.64%
Feb 20205,924.783.56%
Mar 20206,836.9015.39%
Apr 20207,406.588.33%
May 20207,882.006.42%
Jun 20207,562.37-4.06%
Jul 20207,844.283.73%
Aug 20208,081.303.02%
Sep 20207,949.92-1.63%
Oct 20208,090.261.77%
Nov 20207,837.24-3.13%
Dec 20207,681.04-1.99%
Jan 20218,017.974.39%
Feb 20218,011.08-0.09%
Mar 20218,334.754.04%
Apr 20218,271.39-0.76%
May 20218,019.11-3.05%
Jun 20217,550.92-5.84%
Jul 20217,771.062.92%
Aug 20217,897.981.63%
Sep 20217,866.16-0.40%
Oct 20218,098.522.95%
Nov 20217,995.38-1.27%
Dec 20218,045.200.62%
Jan 20227,914.72-1.62%
Feb 20227,517.27-5.02%
Mar 20227,566.980.66%
Apr 20227,828.313.45%
May 20228,153.014.15%
Jun 20228,090.34-0.77%
Jul 20228,490.064.94%
Aug 20228,348.14-1.67%
Sep 20228,491.001.71%
Oct 20228,518.360.32%
Nov 20228,834.853.72%
Dec 20229,155.393.63%
Jan 20239,259.781.14%
Feb 20239,112.49-1.59%
Mar 20238,977.64-1.48%
Apr 20238,810.29-1.86%
May 20238,893.580.95%
Jun 20238,784.87-1.22%
Jul 20239,020.572.68%
Aug 20239,230.382.33%
Sep 20239,151.48-0.85%
Oct 20239,272.121.32%
Nov 20239,158.75-1.22%
Dec 20239,073.84-0.93%
Jan 20248,785.95-3.17%
Feb 20248,595.17-2.17%
Mar 20248,593.81-0.02%
Apr 20248,727.811.56%
May 20248,816.551.02%
Jun 20249,314.995.65%
Jul 20249,645.903.55%
Aug 20249,623.69-0.23%
Sep 20249,337.43-2.97%
Oct 20249,219.20-1.27%
Nov 20249,253.660.37%
Dec 20249,699.844.82%
Jan 20259,510.75-1.95%
Feb 20259,177.01-3.51%
Mar 20259,450.742.98%
Apr 20259,722.232.87%
May 20259,424.67-3.06%
Jun 20259,363.47-0.65%
Jul 20259,525.001.73%
Aug 20259,475.08-0.52%
Sep 20259,493.180.19%
Oct 20259,519.280.27%
Nov 20259,580.620.64%
Dec 20259,952.093.88%
Jan 20269,801.27-1.52%
Feb 20269,569.69-2.36%
Mar 20269,603.860.36%

Top Companies

Tecnologica de Alimentos (TASA)
Website: http://www.tasa.com.pe/
Location: San Isidro, Peru
Estimated Production: 230000 tonnes per year

Commodities Market

  • Buyers: Request price quotes
  • Sellers: List your products
Sign up to get an email when we update our commodities data

 


Your email will never be shared, sold, nor rented. We hate SPAM as much you do.
Coming Soon