Fishmeal Monthly Price - Australian Dollar per Metric Ton

Data as of March 2026

Range
Apr 1996 - Mar 2026: 1,873.865 (252.99%)
Chart

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

Unit: Australian 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 1996740.69-
May 1996707.75-4.45%
Jun 1996711.300.50%
Jul 1996692.80-2.60%
Aug 1996688.40-0.63%
Sep 1996713.823.69%
Oct 1996733.752.79%
Nov 1996753.762.73%
Dec 1996730.75-3.05%
Jan 1997739.441.19%
Feb 1997727.53-1.61%
Mar 1997702.34-3.46%
Apr 1997702.23-0.02%
May 1997706.910.67%
Jun 1997740.444.74%
Jul 1997782.525.68%
Aug 1997837.737.05%
Sep 1997880.255.08%
Oct 1997913.153.74%
Nov 19971,029.7712.77%
Dec 19971,087.345.59%
Jan 19981,074.95-1.14%
Feb 19981,038.19-3.42%
Mar 19981,018.13-1.93%
Apr 19981,048.512.98%
May 19981,085.373.51%
Jun 19981,119.813.17%
Jul 19981,067.75-4.65%
Aug 19981,137.076.49%
Sep 19981,156.571.71%
Oct 19981,070.35-7.45%
Nov 1998947.69-11.46%
Dec 1998873.81-7.80%
Jan 1999703.44-19.50%
Feb 1999667.30-5.14%
Mar 1999646.67-3.09%
Apr 1999609.31-5.78%
May 1999566.30-7.06%
Jun 1999647.0914.27%
Jul 1999653.380.97%
Aug 1999631.61-3.33%
Sep 1999609.14-3.56%
Oct 1999582.09-4.44%
Nov 1999588.511.10%
Dec 1999684.4316.30%
Jan 2000675.30-1.33%
Feb 2000678.770.51%
Mar 2000668.31-1.54%
Apr 2000653.76-2.18%
May 2000648.23-0.85%
Jun 2000714.2910.19%
Jul 2000730.022.20%
Aug 2000700.28-4.07%
Sep 2000713.781.93%
Oct 2000718.710.69%
Nov 2000720.670.27%
Dec 2000802.9411.42%
Jan 2001873.348.77%
Feb 2001860.51-1.47%
Mar 2001856.58-0.46%
Apr 2001839.77-1.96%
May 2001782.99-6.76%
Jun 2001803.042.56%
Jul 2001869.148.23%
Aug 2001937.447.86%
Sep 2001986.385.22%
Oct 2001973.52-1.30%
Nov 2001974.260.08%
Dec 20011,036.246.36%
Jan 20021,136.859.71%
Feb 20021,212.326.64%
Mar 20021,188.94-1.93%
Apr 20021,199.530.89%
May 20021,232.232.73%
Jun 20021,184.08-3.91%
Jul 20021,186.970.24%
Aug 20021,198.670.99%
Sep 20021,181.58-1.43%
Oct 20021,159.58-1.86%
Nov 20021,117.23-3.65%
Dec 20021,105.63-1.04%
Jan 20031,099.12-0.59%
Feb 20031,059.57-3.60%
Mar 20031,030.27-2.77%
Apr 2003988.50-4.05%
May 2003974.09-1.46%
Jun 2003989.451.58%
Jul 2003972.35-1.73%
Aug 2003956.48-1.63%
Sep 2003949.11-0.77%
Oct 2003937.99-1.17%
Nov 2003944.380.68%
Dec 2003926.92-1.85%
Jan 2004886.40-4.37%
Feb 2004880.99-0.61%
Mar 2004884.440.39%
Apr 2004876.46-0.90%
May 2004912.414.10%
Jun 2004929.281.85%
Jul 2004890.77-4.14%
Aug 2004878.43-1.38%
Sep 2004891.271.46%
Oct 2004858.08-3.72%
Nov 2004835.29-2.66%
Dec 2004853.002.12%
Jan 2005930.409.07%
Feb 2005915.36-1.62%
Mar 2005880.18-3.84%
Apr 2005880.580.05%
May 2005875.59-0.57%
Jun 2005877.660.24%
Jul 2005884.760.81%
Aug 2005855.04-3.36%
Sep 2005852.01-0.36%
Oct 2005870.882.21%
Nov 2005912.714.80%
Dec 2005918.490.63%
Jan 2006873.91-4.85%
Feb 2006902.343.25%
Mar 2006936.353.77%
Apr 2006929.50-0.73%
May 2006947.611.95%
Jun 2006990.764.55%
Jul 20061,011.462.09%
Aug 20061,018.510.70%
Sep 20061,060.344.11%
Oct 20061,140.407.55%
Nov 20061,099.89-3.55%
Dec 20061,110.430.96%
Jan 20071,158.854.36%
Feb 20071,171.981.13%
Mar 20071,183.160.95%
Apr 20071,185.290.18%
May 20071,454.0222.67%
Jun 20071,608.7410.64%
Jul 20071,594.08-0.91%
Aug 20071,643.853.12%
Sep 20071,443.46-12.19%
Oct 20071,351.52-6.37%
Nov 20071,382.072.26%
Dec 20071,469.956.36%
Jan 20081,395.43-5.07%
Feb 20081,375.02-1.46%
Mar 20081,373.16-0.13%
Apr 20081,384.740.84%
May 20081,333.52-3.70%
Jun 20081,297.29-2.72%
Jul 20081,193.38-8.01%
Aug 20081,254.165.09%
Sep 20081,368.879.15%
Oct 20081,688.5723.36%
Nov 20081,812.697.35%
Dec 20081,768.47-2.44%
Jan 20091,759.40-0.51%
Feb 20091,837.114.42%
Mar 20091,889.032.83%
Apr 20091,789.50-5.27%
May 20091,651.48-7.71%
Jun 20091,575.38-4.61%
Jul 20091,590.960.99%
Aug 20091,458.66-8.32%
Sep 20091,349.32-7.50%
Oct 20091,187.86-11.97%
Nov 20091,118.27-5.86%
Dec 20091,211.248.31%
Jan 20101,175.86-2.92%
Feb 20101,166.97-0.76%
Mar 20101,163.79-0.27%
Apr 20101,157.48-0.54%
May 20101,271.519.85%
Jun 20101,333.424.87%
Jul 20101,303.60-2.24%
Aug 20101,284.40-1.47%
Sep 20101,262.62-1.70%
Oct 20101,221.42-3.26%
Nov 20101,211.21-0.84%
Dec 20101,316.008.65%
Jan 20111,332.311.24%
Feb 20111,271.59-4.56%
Mar 20111,304.612.60%
Apr 20111,399.787.29%
May 20111,342.88-4.07%
Jun 20111,298.65-3.29%
Jul 20111,255.47-3.33%
Aug 20111,224.80-2.44%
Sep 20111,623.3732.54%
Oct 20111,661.632.36%
Nov 20111,575.54-5.18%
Dec 20111,498.31-4.90%
Jan 20121,555.043.79%
Feb 20121,641.915.59%
Mar 20121,675.722.06%
Apr 20121,675.41-0.02%
May 20121,605.83-4.15%
Jun 20121,560.96-2.79%
Jul 20121,460.39-6.44%
Aug 20121,367.15-6.38%
Sep 20121,302.20-4.75%
Oct 20121,321.131.45%
Nov 20121,286.22-2.64%
Dec 20121,243.07-3.36%
Jan 20131,834.3047.56%
Feb 20131,841.620.40%
Mar 20131,743.05-5.35%
Apr 20131,781.852.23%
May 20131,836.923.09%
Jun 20131,893.863.10%
Jul 20131,874.42-1.03%
Aug 20131,895.971.15%
Sep 20131,796.00-5.27%
Oct 20131,734.49-3.42%
Nov 20131,726.51-0.46%
Dec 20131,727.850.08%
Jan 20141,732.070.24%
Feb 20141,737.630.32%
Mar 20141,820.174.75%
Apr 20141,749.31-3.89%
May 20141,753.300.23%
Jun 20141,837.314.79%
Jul 20141,846.170.48%
Aug 20141,858.730.68%
Sep 20141,852.61-0.33%
Oct 20141,930.804.22%
Nov 20142,085.478.01%
Dec 20142,174.824.28%
Jan 20152,119.38-2.55%
Feb 20152,153.521.61%
Mar 20152,031.70-5.66%
Apr 20152,028.53-0.16%
May 20152,049.181.02%
Jun 20152,003.28-2.24%
Jul 20151,942.79-3.02%
Aug 20152,010.153.47%
Sep 20152,085.073.73%
Oct 20152,110.751.23%
Nov 20152,124.140.63%
Dec 20152,119.95-0.20%
Jan 20162,135.000.71%
Feb 20162,121.77-0.62%
Mar 20161,931.96-8.95%
Apr 20161,924.41-0.39%
May 20162,048.036.42%
Jun 20162,051.840.19%
Jul 20161,984.02-3.31%
Aug 20162,017.071.67%
Sep 20162,024.230.35%
Oct 20161,953.46-3.50%
Nov 20161,934.20-0.99%
Dec 20161,933.95-0.01%
Jan 20171,881.24-2.73%
Feb 20171,762.18-6.33%
Mar 20171,711.69-2.87%
Apr 20171,722.570.64%
May 20171,789.673.90%
Jun 20171,764.88-1.39%
Jul 20171,738.32-1.50%
Aug 20171,751.050.73%
Sep 20171,763.830.73%
Oct 20171,769.250.31%
Nov 20171,817.242.71%
Dec 20171,933.656.41%
Jan 20182,011.994.05%
Feb 20182,038.721.33%
Mar 20182,064.821.28%
Apr 20182,050.03-0.72%
May 20182,011.16-1.90%
Jun 20181,994.68-0.82%
Jul 20182,020.491.29%
Aug 20182,014.12-0.32%
Sep 20182,072.402.89%
Oct 20182,090.670.88%
Nov 20182,041.53-2.35%
Dec 20182,055.680.69%
Jan 20192,081.121.24%
Feb 20192,061.07-0.96%
Mar 20192,084.581.14%
Apr 20192,115.801.50%
May 20192,175.152.81%
Jun 20192,192.950.82%
Jul 20192,141.19-2.36%
Aug 20192,122.02-0.90%
Sep 20192,033.82-4.16%
Oct 20192,003.22-1.50%
Nov 20191,991.06-0.61%
Dec 20191,995.220.21%
Jan 20202,008.270.65%
Feb 20202,045.761.87%
Mar 20202,258.5110.40%
Apr 20202,209.86-2.15%
May 20202,143.06-3.02%
Jun 20202,103.70-1.84%
Jul 20202,113.740.48%
Aug 20202,055.78-2.74%
Sep 20202,033.80-1.07%
Oct 20202,019.41-0.71%
Nov 20201,989.39-1.49%
Dec 20201,998.800.47%
Jan 20211,935.83-3.15%
Feb 20211,908.22-1.43%
Mar 20211,914.690.34%
Apr 20211,931.740.89%
May 20211,950.710.98%
Jun 20211,965.280.75%
Jul 20212,027.773.18%
Aug 20212,061.101.64%
Sep 20212,030.46-1.49%
Oct 20211,973.64-2.80%
Nov 20211,965.21-0.43%
Dec 20211,996.271.58%
Jan 20221,990.46-0.29%
Feb 20222,020.091.49%
Mar 20222,054.481.70%
Apr 20222,222.388.17%
May 20222,319.844.39%
Jun 20222,287.03-1.41%
Jul 20222,304.530.77%
Aug 20222,332.531.21%
Sep 20222,430.054.18%
Oct 20222,550.954.98%
Nov 20222,551.460.02%
Dec 20222,586.311.37%
Jan 20232,560.22-1.01%
Feb 20232,549.92-0.40%
Mar 20232,572.810.90%
Apr 20232,622.121.92%
May 20232,685.822.43%
Jun 20232,702.560.62%
Jul 20232,785.733.08%
Aug 20232,901.954.17%
Sep 20232,883.75-0.63%
Oct 20232,886.250.09%
Nov 20232,885.72-0.02%
Dec 20232,777.17-3.76%
Jan 20242,688.00-3.21%
Feb 20242,651.87-1.34%
Mar 20242,631.55-0.77%
Apr 20242,613.78-0.68%
May 20242,597.32-0.63%
Jun 20242,602.910.21%
Jul 20242,608.550.22%
Aug 20242,602.78-0.22%
Sep 20242,489.63-4.35%
Oct 20242,442.90-1.88%
Nov 20242,448.660.24%
Dec 20242,508.202.43%
Jan 20252,538.861.22%
Feb 20252,530.11-0.34%
Mar 20252,612.233.25%
Apr 20252,678.902.55%
May 20252,584.25-3.53%
Jun 20252,597.900.53%
Jul 20252,632.621.34%
Aug 20252,685.172.00%
Sep 20252,682.12-0.11%
Oct 20252,702.540.76%
Nov 20252,758.582.07%
Dec 20252,756.19-0.09%
Jan 20262,713.00-1.57%
Feb 20262,609.55-3.81%
Mar 20262,614.560.19%

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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