Fishmeal Monthly Price - Philippine Peso per Metric Ton

Data as of March 2026

Range
Apr 1996 - Mar 2026: 94,014.480 (616.20%)
Chart

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

Unit: Philippine 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
Apr 199615,257.11-
Jun 199614,744.97-3.36%
Jul 199614,334.13-2.79%
Aug 199614,100.24-1.63%
Sep 199614,829.205.17%
Oct 199615,245.442.81%
Nov 199615,750.003.31%
Dec 199615,309.58-2.80%
Jan 199715,160.32-0.97%
Feb 199714,675.40-3.20%
Mar 199714,607.32-0.46%
Apr 199714,413.45-1.33%
May 199714,437.060.16%
Jun 199714,703.301.84%
Jul 199716,790.9014.20%
Aug 199718,692.1011.32%
Sep 199721,721.7016.21%
Oct 199722,964.205.72%
Nov 199725,024.208.97%
Jan 199829,947.8019.68%
Feb 199827,680.40-7.57%
Mar 199825,745.50-6.99%
Apr 199827,394.206.40%
May 199826,612.25-2.85%
Jun 199828,012.505.26%
Jul 199827,654.00-1.28%
Aug 199829,212.005.63%
Sep 199829,827.802.11%
Sep 201052,042.1474.48%
Oct 201052,069.440.05%
Nov 201051,906.18-0.31%
Dec 201057,079.569.97%
Jan 201158,519.202.52%
Feb 201156,065.67-4.19%
Mar 201157,342.002.28%
Apr 201163,848.1211.35%
May 201161,892.86-3.06%
Jun 201159,699.30-3.54%
Jul 201157,804.66-3.17%
Aug 201154,462.08-5.78%
Sep 201171,448.8431.19%
Oct 201173,217.212.48%
Nov 201169,095.84-5.63%
Dec 201166,170.45-4.23%
Jan 201270,448.296.46%
Feb 201275,110.836.62%
Mar 201275,703.900.79%
Apr 201274,044.41-2.19%
May 201268,774.65-7.12%
Jun 201266,666.24-3.07%
Jul 201262,990.90-5.51%
Aug 201260,172.16-4.47%
Sep 201256,512.52-6.08%
Oct 201256,397.19-0.20%
Nov 201255,086.63-2.32%
Dec 201253,435.45-3.00%
Jan 201378,477.8846.86%
Feb 201377,322.67-1.47%
Mar 201373,342.55-5.15%
Apr 201376,142.773.82%
May 201375,274.23-1.14%
Jun 201376,527.451.66%
Jul 201374,558.53-2.57%
Aug 201375,200.340.86%
Sep 201373,117.52-2.77%
Oct 201371,291.80-2.50%
Nov 201370,319.17-1.36%
Dec 201368,466.73-2.63%
Jan 201469,001.170.78%
Feb 201469,944.681.37%
Mar 201473,963.585.75%
Apr 201472,730.06-1.67%
May 201471,740.20-1.36%
Jun 201475,401.675.10%
Jul 201475,361.91-0.05%
Aug 201475,687.700.43%
Sep 201474,030.40-2.19%
Oct 201476,001.002.66%
Nov 201481,204.626.85%
Dec 201480,220.34-1.21%
Jan 201576,391.74-4.77%
Feb 201574,171.70-2.91%
Mar 201569,803.35-5.89%
Apr 201569,714.35-0.13%
May 201572,270.353.67%
Jun 201569,596.12-3.70%
Jul 201565,207.92-6.31%
Aug 201567,644.633.74%
Sep 201568,798.461.71%
Oct 201570,517.222.50%
Nov 201571,354.201.19%
Dec 201572,570.331.70%
Jan 201671,183.50-1.91%
Feb 201672,031.121.19%
Mar 201667,494.22-6.30%
Apr 201668,238.661.10%
May 201670,279.722.99%
Jun 201670,449.370.24%
Jul 201670,278.00-0.24%
Aug 201671,903.752.31%
Sep 201672,885.411.37%
Oct 201671,941.56-1.29%
Nov 201671,683.28-0.36%
Dec 201670,900.38-1.09%
Jan 201769,480.59-2.00%
Feb 201767,468.17-2.90%
Mar 201765,646.48-2.70%
Apr 201764,688.98-1.46%
May 201766,330.532.54%
Jun 201766,395.520.10%
Jul 201768,653.483.40%
Aug 201770,497.772.69%
Sep 201771,711.731.72%
Oct 201770,816.23-1.25%
Nov 201770,784.02-0.05%
Dec 201774,417.915.13%
Jan 201880,579.908.28%
Feb 201883,142.453.18%
Mar 201883,516.840.45%
Apr 201882,205.86-1.57%
May 201878,955.77-3.95%
Jun 201879,279.160.41%
Jul 201879,953.330.85%
Aug 201878,599.76-1.69%
Sep 201880,555.222.49%
Oct 201880,203.77-0.44%
Nov 201878,188.09-2.51%
Dec 201878,122.38-0.08%
Jan 201977,986.59-0.17%
Feb 201976,807.05-1.51%
Mar 201977,363.270.72%
Apr 201978,448.701.40%
May 201978,987.800.69%
Jun 201978,858.59-0.16%
Jul 201976,525.72-2.96%
Aug 201974,800.05-2.26%
Sep 201972,183.84-3.50%
Oct 201970,076.64-2.92%
Nov 201969,020.32-1.51%
Dec 201969,389.490.53%
Jan 202070,125.681.06%
Feb 202069,263.63-1.23%
Mar 202071,269.072.90%
Apr 202070,567.68-0.98%
May 202070,507.34-0.09%
Jun 202072,709.133.12%
Jul 202073,519.131.11%
Aug 202072,284.20-1.68%
Sep 202071,341.52-1.30%
Oct 202069,727.49-2.26%
Nov 202069,642.80-0.12%
Dec 202071,987.673.37%
Jan 202171,898.38-0.12%
Feb 202171,317.62-0.81%
Mar 202171,712.190.55%
Apr 202172,073.530.50%
May 202172,604.430.74%
Jun 202172,296.34-0.42%
Jul 202175,247.784.08%
Aug 202175,520.360.36%
Sep 202174,465.30-1.40%
Oct 202174,197.15-0.36%
Nov 202172,458.17-2.34%
Dec 202171,433.59-1.41%
Jan 202273,204.482.48%
Feb 202274,113.771.24%
Mar 202278,872.266.42%
Apr 202285,416.848.30%
May 202285,571.870.18%
Jun 202286,186.600.72%
Jul 202288,432.162.61%
Aug 202290,499.132.34%
Sep 202293,372.953.18%
Oct 202295,385.222.16%
Nov 202296,785.381.47%
Dec 202297,251.060.48%
Jan 202397,915.740.68%
Feb 202396,492.79-1.45%
Mar 202394,296.22-2.28%
Apr 202397,097.512.97%
May 202399,594.022.57%
Jun 2023101,172.101.58%
Jul 2023103,124.401.93%
Aug 2023105,727.702.52%
Sep 2023105,169.00-0.53%
Oct 2023104,095.00-1.02%
Nov 2023104,420.300.31%
Dec 2023102,679.90-1.67%
Jan 2024100,041.60-2.57%
Feb 202497,084.42-2.96%
Mar 202496,352.83-0.75%
Apr 202496,963.200.63%
May 202499,232.112.34%
Jun 2024101,558.602.34%
Jul 2024101,674.600.11%
Aug 202499,193.28-2.44%
Sep 202494,461.20-4.77%
Oct 202493,745.05-0.76%
Nov 202493,934.770.20%
Dec 202493,426.79-0.54%
Jan 202592,292.52-1.21%
Feb 202592,543.550.27%
Mar 202594,445.622.06%
Apr 202595,578.231.20%
May 202592,544.59-3.17%
Jun 202595,099.212.76%
Jul 202597,796.072.84%
Aug 202599,726.541.97%
Sep 2025101,200.101.48%
Oct 2025103,127.601.90%
Nov 2025105,694.402.49%
Dec 2025107,388.801.60%
Jan 2026107,742.800.33%
Feb 2026107,338.80-0.37%
Mar 2026109,271.601.80%

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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