Fishmeal Monthly Price - New Zealand Dollar per Metric Ton

Data as of March 2026

Range
Apr 2006 - Mar 2026: 2,034.729 (184.76%)
Chart

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

Unit: New Zealand 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 20061,101.29-
May 20061,145.043.97%
Jun 20061,185.113.50%
Jul 20061,231.313.90%
Aug 20061,228.12-0.26%
Sep 20061,225.47-0.22%
Oct 20061,301.836.23%
Nov 20061,269.20-2.51%
Dec 20061,261.96-0.57%
Jan 20071,306.573.53%
Feb 20071,321.361.13%
Mar 20071,342.071.57%
Apr 20071,331.61-0.78%
May 20071,637.7222.99%
Jun 20071,791.599.40%
Jul 20071,759.81-1.77%
Aug 20071,870.236.27%
Sep 20071,704.12-8.88%
Oct 20071,598.82-6.18%
Nov 20071,628.961.88%
Dec 20071,669.352.48%
Jan 20081,595.72-4.41%
Feb 20081,576.01-1.24%
Mar 20081,584.070.51%
Apr 20081,631.322.98%
May 20081,629.21-0.13%
Jun 20081,621.72-0.46%
Jul 20081,520.82-6.22%
Aug 20081,555.172.26%
Sep 20081,664.257.01%
Oct 20081,885.1213.27%
Nov 20082,104.8011.65%
Dec 20082,122.940.86%
Jan 20092,163.011.89%
Feb 20092,315.007.03%
Mar 20092,368.872.33%
Apr 20092,232.61-5.75%
May 20092,103.00-5.81%
Jun 20091,982.99-5.71%
Jul 20091,986.910.20%
Aug 20091,802.01-9.31%
Sep 20091,654.41-8.19%
Oct 20091,462.44-11.60%
Nov 20091,408.10-3.72%
Dec 20091,526.168.38%
Jan 20101,478.47-3.12%
Feb 20101,482.920.30%
Mar 20101,510.341.85%
Apr 20101,505.46-0.32%
May 20101,583.815.20%
Jun 20101,641.593.65%
Jul 20101,601.97-2.41%
Aug 20101,616.030.88%
Sep 20101,627.940.74%
Oct 20101,597.92-1.84%
Nov 20101,551.10-2.93%
Dec 20101,739.4812.14%
Jan 20111,730.62-0.51%
Feb 20111,683.45-2.73%
Mar 20111,779.235.69%
Apr 20111,879.825.65%
May 20111,805.63-3.95%
Jun 20111,689.39-6.44%
Jul 20111,596.27-5.51%
Aug 20111,532.00-4.03%
Sep 20112,041.1233.23%
Oct 20112,136.934.69%
Nov 20112,059.46-3.63%
Dec 20111,970.17-4.34%
Jan 20122,018.662.46%
Feb 20122,110.974.57%
Mar 20122,152.491.97%
Apr 20122,117.30-1.63%
May 20122,066.58-2.40%
Jun 20121,998.43-3.30%
Jul 20121,883.77-5.74%
Aug 20121,767.24-6.19%
Sep 20121,655.59-6.32%
Oct 20121,658.770.19%
Nov 20121,634.32-1.47%
Dec 20121,564.63-4.26%
Jan 20132,300.1847.01%
Feb 20132,265.40-1.51%
Mar 20132,176.77-3.91%
Apr 20132,184.530.36%
May 20132,204.640.92%
Jun 20132,258.792.46%
Jul 20132,179.45-3.51%
Aug 20132,164.31-0.70%
Sep 20132,051.83-5.20%
Oct 20131,976.99-3.65%
Nov 20131,950.53-1.34%
Dec 20131,887.03-3.26%
Jan 20141,855.36-1.68%
Feb 20141,881.401.40%
Mar 20141,939.053.06%
Apr 20141,890.02-2.53%
May 20141,895.830.31%
Jun 20141,998.075.39%
Jul 20141,994.89-0.16%
Aug 20142,050.282.78%
Sep 20142,058.800.42%
Oct 20142,155.024.67%
Nov 20142,307.837.09%
Dec 20142,312.120.19%
Jan 20152,245.10-2.90%
Feb 20152,255.390.46%
Mar 20152,102.09-6.80%
Apr 20152,070.48-1.50%
May 20152,189.955.77%
Jun 20152,213.951.10%
Jul 20152,166.66-2.14%
Aug 20152,238.473.31%
Sep 20152,322.313.75%
Oct 20152,280.57-1.80%
Nov 20152,312.171.39%
Dec 20152,280.99-1.35%
Jan 20162,296.030.66%
Feb 20162,279.57-0.72%
Mar 20162,147.10-5.81%
Apr 20162,139.39-0.36%
May 20162,204.433.04%
Jun 20162,158.51-2.08%
Jul 20162,097.64-2.82%
Aug 20162,130.521.57%
Sep 20162,101.56-1.36%
Oct 20162,078.72-1.09%
Nov 20162,036.99-2.01%
Dec 20162,019.80-0.84%
Jan 20171,969.16-2.51%
Feb 20171,869.85-5.04%
Mar 20171,861.57-0.44%
Apr 20171,860.47-0.06%
May 20171,919.143.15%
Jun 20171,845.94-3.81%
Jul 20171,845.20-0.04%
Aug 20171,894.602.68%
Sep 20171,939.442.37%
Oct 20171,950.550.57%
Nov 20172,011.383.12%
Dec 20172,124.175.61%
Jan 20182,202.973.71%
Feb 20182,197.78-0.24%
Mar 20182,209.350.53%
Apr 20182,174.34-1.58%
May 20182,176.580.10%
Jun 20182,153.53-1.06%
Jul 20182,204.142.35%
Aug 20182,211.990.36%
Sep 20182,263.572.33%
Oct 20182,273.180.42%
Nov 20182,188.47-3.73%
Dec 20182,165.40-1.05%
Jan 20192,192.921.27%
Feb 20192,154.98-1.73%
Mar 20192,160.570.26%
Apr 20192,236.803.53%
May 20192,302.992.96%
Jun 20192,307.670.20%
Jul 20192,237.49-3.04%
Aug 20192,232.77-0.21%
Sep 20192,183.12-2.22%
Oct 20192,148.17-1.60%
Nov 20192,127.71-0.95%
Dec 20192,079.24-2.28%
Jan 20202,088.090.43%
Feb 20202,134.462.22%
Mar 20202,318.208.61%
Apr 20202,320.770.11%
May 20202,292.48-1.22%
Jun 20202,251.61-1.78%
Jul 20202,256.260.21%
Aug 20202,243.92-0.55%
Sep 20202,206.17-1.68%
Oct 20202,169.01-1.68%
Nov 20202,110.07-2.72%
Dec 20202,118.330.39%
Jan 20212,078.30-1.89%
Feb 20212,041.77-1.76%
Mar 20212,066.921.23%
Apr 20212,087.450.99%
May 20212,098.320.52%
Jun 20212,112.270.66%
Jul 20212,154.361.99%
Aug 20212,159.860.26%
Sep 20212,104.94-2.54%
Oct 20212,075.16-1.41%
Nov 20212,044.81-1.46%
Dec 20212,099.302.66%
Jan 20222,119.600.97%
Feb 20222,167.772.27%
Mar 20222,208.291.87%
Apr 20222,423.999.77%
May 20222,555.245.41%
Jun 20222,527.37-1.09%
Jul 20222,549.410.87%
Aug 20222,591.771.66%
Sep 20222,732.155.42%
Oct 20222,854.204.47%
Nov 20222,783.61-2.47%
Dec 20222,745.93-1.35%
Jan 20232,780.381.25%
Feb 20232,796.930.60%
Mar 20232,774.55-0.80%
Apr 20232,825.541.84%
May 20232,872.071.65%
Jun 20232,953.672.84%
Jul 20233,016.332.12%
Aug 20233,137.984.03%
Sep 20233,125.97-0.38%
Oct 20233,103.84-0.71%
Nov 20233,129.330.82%
Dec 20232,983.58-4.66%
Jan 20242,897.24-2.89%
Feb 20242,825.85-2.46%
Mar 20242,833.680.28%
Apr 20242,854.160.72%
May 20242,838.09-0.56%
Jun 20242,816.84-0.75%
Jul 20242,886.862.49%
Aug 20242,851.85-1.21%
Sep 20242,709.82-4.98%
Oct 20242,688.50-0.79%
Nov 20242,706.900.68%
Dec 20242,760.621.98%
Jan 20252,805.721.63%
Feb 20252,805.42-0.01%
Mar 20252,873.642.43%
Apr 20252,897.680.84%
May 20252,804.59-3.21%
Jun 20252,800.24-0.16%
Jul 20252,870.992.53%
Aug 20252,953.642.88%
Sep 20253,003.431.69%
Oct 20253,067.752.14%
Nov 20253,178.233.60%
Dec 20253,158.83-0.61%
Jan 20263,156.09-0.09%
Feb 20263,060.61-3.03%
Mar 20263,136.022.46%

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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