Fishmeal Monthly Price - Baht per Metric Ton

Data as of March 2026

Range
Apr 2011 - Mar 2026: 14,942.160 (33.68%)
Chart

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

Unit: Baht 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 201144,367.55-
May 201143,400.81-2.18%
Jun 201142,017.46-3.19%
Jul 201140,618.96-3.33%
Aug 201138,365.99-5.55%
Sep 201150,483.4531.58%
Oct 201152,054.723.11%
Nov 201149,390.86-5.12%
Dec 201147,336.08-4.16%
Jan 201251,003.337.75%
Feb 201254,096.956.07%
Mar 201254,282.660.34%
Apr 201253,603.53-1.25%
May 201250,309.19-6.15%
Jun 201249,334.85-1.94%
Jul 201247,591.62-3.53%
Aug 201244,988.39-5.47%
Sep 201241,966.77-6.72%
Oct 201241,735.29-0.55%
Nov 201241,122.87-1.47%
Dec 201239,923.26-2.92%
Jan 201357,959.4145.18%
Feb 201356,696.54-2.18%
Mar 201353,178.07-6.21%
Apr 201353,805.981.18%
May 201354,296.820.91%
Jun 201355,073.831.43%
Jul 201353,545.27-2.78%
Aug 201354,197.821.22%
Sep 201352,912.79-2.37%
Oct 201351,526.65-2.62%
Nov 201351,005.73-1.01%
Dec 201350,186.25-1.61%
Jan 201450,629.760.88%
Feb 201450,878.710.49%
Mar 201453,480.905.11%
Apr 201452,657.10-1.54%
May 201453,108.170.86%
Jun 201455,958.825.37%
Jul 201455,642.51-0.57%
Aug 201455,353.62-0.52%
Sep 201454,057.85-2.34%
Oct 201455,065.151.86%
Nov 201459,233.607.57%
Dec 201459,074.94-0.27%
Jan 201556,085.68-5.06%
Feb 201554,630.59-2.59%
Mar 201551,270.34-6.15%
Apr 201551,036.57-0.46%
May 201554,362.886.52%
Jun 201552,188.21-4.00%
Jul 201549,461.56-5.22%
Aug 201551,937.585.01%
Sep 201552,999.532.04%
Oct 201554,319.022.49%
Nov 201554,319.090.00%
Dec 201555,326.671.85%
Jan 201654,179.52-2.07%
Feb 201653,829.63-0.65%
Mar 201650,867.04-5.50%
Apr 201651,741.181.72%
May 201653,179.082.78%
Jun 201653,569.000.73%
Jul 201652,372.05-2.23%
Aug 201653,472.122.10%
Sep 201653,389.36-0.15%
Oct 201652,175.61-2.27%
Nov 201651,519.39-1.26%
Dec 201650,973.33-1.06%
Jan 201749,562.43-2.77%
Feb 201747,313.35-4.54%
Mar 201745,546.40-3.73%
Apr 201744,705.75-1.85%
May 201745,854.782.57%
Jun 201745,314.12-1.18%
Jul 201745,730.970.92%
Aug 201746,107.100.82%
Sep 201746,611.371.09%
Oct 201745,852.75-1.63%
Nov 201745,655.28-0.43%
Dec 201748,231.655.64%
Jan 201850,937.115.61%
Feb 201850,560.35-0.74%
Mar 201850,145.87-0.82%
Apr 201849,411.36-1.46%
May 201848,383.27-2.08%
Jun 201848,526.380.30%
Jul 201849,795.182.61%
Aug 201848,724.82-2.15%
Sep 201848,679.05-0.09%
Oct 201848,665.45-0.03%
Nov 201848,768.110.21%
Dec 201848,421.25-0.71%
Jan 201947,290.70-2.33%
Feb 201946,093.37-2.53%
Mar 201946,831.941.60%
Apr 201947,960.772.41%
May 201948,061.160.21%
Jun 201947,381.05-1.42%
Jul 201946,093.30-2.72%
Aug 201944,212.01-4.08%
Sep 201942,348.57-4.21%
Oct 201941,312.61-2.45%
Nov 201941,161.69-0.37%
Dec 201941,328.830.41%
Jan 202041,993.981.61%
Feb 202042,776.151.86%
Mar 202044,953.455.09%
Apr 202045,376.820.94%
May 202044,688.61-1.52%
Jun 202045,218.711.19%
Jul 202046,738.433.36%
Aug 202046,198.29-1.16%
Sep 202046,123.77-0.16%
Oct 202044,985.33-2.47%
Nov 202043,996.74-2.20%
Dec 202045,071.272.44%
Jan 202144,879.87-0.42%
Feb 202144,364.79-1.15%
Mar 202145,455.682.46%
Apr 202146,611.242.54%
May 202147,401.161.69%
Jun 202147,228.86-0.36%
Jul 202149,124.054.01%
Aug 202149,768.481.31%
Sep 202149,171.01-1.20%
Oct 202148,938.36-0.47%
Nov 202147,597.61-2.74%
Dec 202147,812.430.45%
Jan 202247,486.61-0.68%
Feb 202247,265.62-0.47%
Mar 202250,363.556.55%
Apr 202255,581.0010.36%
May 202256,274.201.25%
Jun 202256,212.79-0.11%
Jul 202257,504.932.30%
Aug 202258,242.531.28%
Sep 202260,152.393.28%
Oct 202261,501.622.24%
Nov 202261,194.52-0.50%
Dec 202260,835.88-0.59%
Jan 202359,169.18-2.74%
Feb 202359,913.041.26%
Mar 202359,390.50-0.87%
Apr 202360,181.521.33%
May 202361,172.941.65%
Jun 202363,196.603.31%
Jul 202364,967.852.80%
Aug 202365,979.201.56%
Sep 202366,447.490.71%
Oct 202366,880.640.65%
Nov 202366,356.13-0.78%
Dec 202364,885.79-2.22%
Jan 202462,917.29-3.03%
Feb 202462,091.34-1.31%
Mar 202462,029.66-0.10%
Apr 202462,607.770.93%
May 202462,964.420.57%
Jun 202463,498.690.85%
Jul 202463,066.25-0.68%
Aug 202460,242.70-4.48%
Sep 202456,228.96-6.66%
Oct 202454,651.39-2.81%
Nov 202455,204.781.01%
Dec 202454,645.67-1.01%
Jan 202554,121.88-0.96%
Feb 202553,795.11-0.60%
Mar 202555,626.233.40%
Apr 202556,732.441.99%
May 202554,827.41-3.36%
Jun 202555,054.310.41%
Jul 202555,876.551.49%
Aug 202556,567.051.24%
Sep 202556,589.350.04%
Oct 202557,580.791.75%
Nov 202558,163.231.01%
Dec 202557,619.37-0.94%
Jan 202657,017.17-1.05%
Feb 202657,557.750.95%
Mar 202659,309.723.04%

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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