Fishmeal Monthly Price - Mexican Peso per Metric Ton

Data as of March 2026

Range
May 2011 - Mar 2026: 15,913.870 (95.14%)
Chart

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

Unit: Mexican Peso 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
May 201116,727.26-
Jun 201116,248.80-2.86%
Jul 201115,777.44-2.90%
Aug 201115,686.38-0.58%
Sep 201121,704.5438.37%
Oct 201122,673.154.46%
Nov 201121,786.71-3.91%
Dec 201120,848.35-4.31%
Jan 201221,664.213.91%
Feb 201222,513.593.92%
Mar 201222,516.540.01%
Apr 201222,671.000.69%
May 201221,898.48-3.41%
Jun 201221,712.42-0.85%
Jul 201220,090.30-7.47%
Aug 201218,864.04-6.10%
Sep 201217,514.90-7.15%
Oct 201217,492.85-0.13%
Nov 201217,546.880.31%
Dec 201216,767.61-4.44%
Jan 201324,473.4745.96%
Feb 201324,180.32-1.20%
Mar 201322,557.70-6.71%
Apr 201322,590.540.15%
May 201322,432.55-0.70%
Jun 201323,137.443.14%
Jul 201321,922.25-5.25%
Aug 201322,112.100.87%
Sep 201321,788.27-1.46%
Oct 201321,455.49-1.53%
Nov 201321,116.98-1.58%
Dec 201320,197.30-4.36%
Jan 201420,296.700.49%
Feb 201420,695.171.96%
Mar 201421,784.385.26%
Apr 201421,301.44-2.22%
May 201421,107.75-0.91%
Jun 201422,351.935.89%
Jul 201422,535.170.82%
Aug 201422,724.370.84%
Sep 201422,215.87-2.24%
Oct 201422,859.552.90%
Nov 201424,560.637.44%
Dec 201426,013.695.92%
Jan 201525,154.58-3.30%
Feb 201525,029.60-0.50%
Mar 201523,913.71-4.46%
Apr 201523,886.87-0.11%
May 201524,726.083.51%
Jun 201523,939.83-3.18%
Jul 201522,959.39-4.10%
Aug 201524,246.425.61%
Sep 201524,798.832.28%
Oct 201525,193.701.59%
Nov 201525,270.040.30%
Dec 201526,223.213.77%
Jan 201627,071.253.23%
Feb 201627,961.813.29%
Mar 201625,509.12-8.77%
Apr 201625,789.951.10%
May 201627,263.065.71%
Jun 201628,293.483.78%
Jul 201627,793.26-1.77%
Aug 201628,435.442.31%
Sep 201629,531.223.85%
Oct 201628,126.38-4.76%
Nov 201629,278.654.10%
Dec 201629,191.28-0.30%
Jan 201729,952.802.61%
Feb 201727,421.49-8.45%
Mar 201725,178.81-8.18%
Apr 201724,356.93-3.26%
May 201724,966.092.50%
Jun 201724,171.05-3.18%
Jul 201724,101.87-0.29%
Aug 201724,682.032.41%
Sep 201725,076.421.60%
Oct 201725,937.603.43%
Nov 201726,290.171.36%
Dec 201728,324.917.74%
Jan 201830,256.826.82%
Feb 201829,934.23-1.07%
Mar 201829,888.10-0.15%
Apr 201829,012.96-2.93%
May 201829,651.892.20%
Jun 201830,342.932.33%
Jul 201828,414.67-6.35%
Aug 201827,822.37-2.08%
Sep 201828,377.391.99%
Oct 201828,515.640.49%
Nov 201829,956.795.05%
Dec 201829,818.60-0.46%
Jan 201928,484.27-4.47%
Feb 201928,270.63-0.75%
Mar 201928,410.050.49%
Apr 201928,581.670.60%
May 201928,904.601.13%
Jun 201929,341.141.51%
Jul 201928,515.74-2.81%
Aug 201928,286.42-0.80%
Sep 201927,095.47-4.21%
Oct 201926,294.05-2.96%
Nov 201926,289.66-0.02%
Dec 201926,147.53-0.54%
Jan 202025,941.28-0.79%
Feb 202025,661.32-1.08%
Mar 202031,254.1121.79%
Apr 202033,725.457.91%
May 202032,730.04-2.95%
Jun 202032,340.94-1.19%
Jul 202033,319.753.03%
Aug 202032,864.82-1.37%
Sep 202031,904.16-2.92%
Oct 202030,595.23-4.10%
Nov 202029,460.68-3.71%
Dec 202029,925.991.58%
Jan 202129,815.08-0.37%
Feb 202130,071.160.86%
Mar 202130,642.101.90%
Apr 202129,767.73-2.85%
May 202130,242.951.60%
Jun 202130,081.27-0.53%
Jul 202130,056.24-0.08%
Aug 202130,224.400.56%
Sep 202129,760.68-1.53%
Oct 202129,848.850.30%
Nov 202129,963.180.38%
Dec 202129,884.62-0.26%
Jan 202229,286.82-2.00%
Feb 202229,542.670.87%
Mar 202231,134.855.39%
Apr 202233,029.236.08%
May 202232,767.10-0.79%
Jun 202232,145.28-1.90%
Jul 202232,506.331.12%
Aug 202232,662.310.48%
Sep 202232,593.94-0.21%
Oct 202232,425.19-0.52%
Nov 202232,630.100.63%
Dec 202234,329.905.21%
Jan 202333,781.93-1.60%
Feb 202332,794.13-2.92%
Mar 202331,637.07-3.53%
Apr 202331,754.090.37%
May 202331,717.45-0.12%
Jun 202331,232.56-1.53%
Jul 202331,738.231.62%
Aug 202331,960.570.70%
Sep 202332,064.470.33%
Oct 202333,117.013.28%
Nov 202332,562.45-1.67%
Dec 202331,877.77-2.10%
Jan 202430,557.28-4.14%
Feb 202429,593.89-3.15%
Mar 202428,950.31-2.17%
Apr 202428,608.51-1.18%
May 202428,871.940.92%
Jun 202431,473.819.01%
Jul 202431,501.240.09%
Aug 202433,141.695.21%
Sep 202433,061.98-0.24%
Oct 202432,253.48-2.45%
Nov 202432,560.770.95%
Dec 202432,324.30-0.73%
Jan 202532,490.480.51%
Feb 202532,587.080.30%
Mar 202533,274.412.11%
Apr 202533,717.741.33%
May 202532,366.28-4.01%
Jun 202532,138.39-0.70%
Jul 202532,200.730.19%
Aug 202532,576.901.17%
Sep 202532,710.270.41%
Oct 202532,587.54-0.38%
Nov 202533,077.851.50%
Dec 202532,989.20-0.27%
Jan 202632,413.51-1.75%
Feb 202631,700.56-2.20%
Mar 202632,641.132.97%

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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