Fishmeal Monthly Price - Rand per Metric Ton

Data as of March 2026

Range
Feb 1997 - Jun 2025: 27,606.970 (1,110.30%)
Chart

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

Unit: Rand 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
Feb 19972,486.45-
Mar 19972,457.30-1.17%
Apr 19972,430.50-1.09%
May 19972,448.190.73%
Jun 19972,510.072.53%
Jul 19972,649.115.54%
Aug 19972,907.469.75%
Sep 19972,986.922.73%
Oct 19973,100.613.81%
Nov 19973,464.3711.73%
Dec 19973,510.131.32%
Jan 19983,475.10-1.00%
Feb 19983,448.45-0.77%
Mar 19983,393.11-1.60%
Apr 19983,451.391.72%
May 19983,490.691.14%
Jun 19983,632.374.06%
Jul 19984,108.2713.10%
Aug 19984,216.442.63%
Sep 19984,162.31-1.28%
Oct 19983,837.93-7.79%
Nov 19983,396.32-11.51%
Dec 19983,187.68-6.14%
Jan 19992,658.36-16.60%
Feb 19992,607.74-1.90%
Mar 19992,527.73-3.07%
Apr 19992,392.80-5.34%
May 19992,319.69-3.06%
Jun 19992,578.5011.16%
Jul 19992,625.031.80%
Aug 19992,496.16-4.91%
Sep 19992,393.45-4.11%
Oct 19992,311.97-3.40%
Nov 19992,309.50-0.11%
Dec 19992,692.2416.57%
Jan 20002,720.821.06%
Feb 20002,697.92-0.84%
Mar 20002,633.24-2.40%
Apr 20002,588.09-1.71%
May 20002,637.781.92%
Jun 20002,934.8211.26%
Jul 20002,957.940.79%
Aug 20002,832.41-4.24%
Sep 20002,830.55-0.07%
Oct 20002,835.380.17%
Nov 20002,889.401.91%
Dec 20003,352.5816.03%
Jan 20013,779.9512.75%
Feb 20013,594.22-4.91%
Mar 20013,398.16-5.45%
Apr 20013,393.93-0.12%
May 20013,246.36-4.35%
Jun 20013,349.233.17%
Jul 20013,613.317.88%
Aug 20014,091.5113.23%
Sep 20014,314.755.46%
Oct 20014,567.775.86%
Nov 20014,900.117.28%
Dec 20016,211.9626.77%
Jan 20026,808.579.60%
Feb 20027,139.124.85%
Mar 20027,175.480.51%
Apr 20027,101.92-1.03%
May 20026,853.47-3.50%
Jun 20026,828.12-0.37%
Jul 20026,634.50-2.84%
Aug 20026,872.463.59%
Sep 20026,844.94-0.40%
Oct 20026,585.93-3.78%
Nov 20026,045.04-8.21%
Dec 20025,572.50-7.82%
Jan 20035,560.59-0.21%
Feb 20035,219.48-6.13%
Mar 20034,986.86-4.46%
Apr 20034,649.33-6.77%
May 20034,917.575.77%
Jun 20035,191.555.57%
Jul 20034,859.86-6.39%
Aug 20034,606.08-5.22%
Sep 20034,583.92-0.48%
Oct 20034,528.44-1.21%
Nov 20034,549.020.45%
Dec 20034,452.85-2.11%
Jan 20044,757.126.83%
Feb 20044,635.22-2.56%
Mar 20044,403.02-5.01%
Apr 20044,300.65-2.32%
May 20044,386.612.00%
Jun 20044,125.13-5.96%
Jul 20043,905.02-5.34%
Aug 20044,029.653.19%
Sep 20044,102.541.81%
Oct 20043,999.77-2.51%
Nov 20043,913.67-2.15%
Dec 20043,734.34-4.58%
Jan 20054,255.2613.95%
Feb 20054,319.131.50%
Mar 20054,125.57-4.48%
Apr 20054,191.191.59%
May 20054,260.281.65%
Jun 20054,539.876.56%
Jul 20054,462.73-1.70%
Aug 20054,201.88-5.85%
Sep 20054,141.07-1.45%
Oct 20054,325.804.46%
Nov 20054,478.363.53%
Dec 20054,329.85-3.32%
Jan 20063,993.87-7.76%
Feb 20064,082.262.21%
Mar 20064,242.573.93%
Apr 20064,143.31-2.34%
May 20064,564.1610.16%
Jun 20065,130.8712.42%
Jul 20065,375.234.76%
Aug 20065,409.400.64%
Sep 20065,980.4810.56%
Oct 20066,584.2510.10%
Nov 20066,163.75-6.39%
Dec 20066,145.53-0.30%
Jan 20076,510.165.93%
Feb 20076,577.431.03%
Mar 20076,884.294.67%
Apr 20076,945.240.89%
May 20078,403.8621.00%
Jun 20079,706.8415.50%
Jul 20079,640.53-0.68%
Aug 20079,835.192.02%
Sep 20078,690.18-11.64%
Oct 20078,215.32-5.46%
Nov 20078,310.831.16%
Dec 20078,731.215.06%
Jan 20088,625.69-1.21%
Feb 20089,621.0611.54%
Mar 200810,134.085.33%
Apr 200810,036.60-0.96%
May 20089,644.68-3.90%
Jun 20089,768.921.29%
Jul 20088,758.48-10.34%
Aug 20088,459.83-3.41%
Sep 20089,045.036.92%
Oct 200811,245.6724.33%
Nov 200811,992.886.64%
Dec 200811,777.89-1.79%
Jan 200911,817.540.34%
Feb 200911,928.230.94%
Mar 200912,518.194.95%
Apr 200911,463.40-8.43%
May 200910,546.24-8.00%
Jun 200910,167.88-3.59%
Jul 200910,166.21-0.02%
Aug 20099,657.21-5.01%
Sep 20098,736.92-9.53%
Oct 20098,077.10-7.55%
Nov 20097,734.54-4.24%
Dec 20098,174.985.69%
Jan 20108,018.54-1.91%
Feb 20107,926.64-1.15%
Mar 20107,865.72-0.77%
Apr 20107,884.180.23%
May 20108,477.617.53%
Jun 20108,676.622.35%
Jul 20108,590.52-0.99%
Aug 20108,437.58-1.78%
Sep 20108,424.23-0.16%
Oct 20108,277.17-1.75%
Nov 20108,376.321.20%
Dec 20108,899.656.25%
Jan 20119,171.963.06%
Feb 20119,197.780.28%
Mar 20119,117.23-0.88%
Apr 20119,942.809.06%
May 20119,856.51-0.87%
Jun 20119,358.66-5.05%
Jul 20119,189.14-1.81%
Aug 20119,074.80-1.24%
Sep 201112,549.2438.29%
Oct 201113,426.816.99%
Nov 201112,990.72-3.25%
Dec 201112,392.98-4.60%
Jan 201212,939.094.41%
Feb 201213,484.054.21%
Mar 201213,444.67-0.29%
Apr 201213,583.861.04%
May 201213,070.96-3.78%
Jun 201213,074.010.02%
Jul 201212,397.31-5.18%
Aug 201211,844.20-4.46%
Sep 201211,207.29-5.38%
Oct 201211,733.844.70%
Nov 201211,775.000.35%
Dec 201211,264.52-4.34%
Jan 201316,943.2550.41%
Feb 201316,901.03-0.25%
Mar 201316,559.68-2.02%
Apr 201316,853.491.77%
May 201317,084.491.37%
Jun 201317,896.614.75%
Jul 201317,034.79-4.82%
Aug 201317,304.381.58%
Sep 201316,645.97-3.80%
Oct 201316,371.17-1.65%
Nov 201316,476.120.64%
Dec 201316,116.18-2.18%
Jan 201416,737.653.86%
Feb 201417,123.532.31%
Mar 201417,759.703.72%
Apr 201417,188.27-3.22%
May 201417,002.37-1.08%
Jun 201418,367.818.03%
Jul 201418,491.110.67%
Aug 201418,439.54-0.28%
Sep 201418,430.05-0.05%
Oct 201418,779.761.90%
Nov 201420,059.276.81%
Dec 201420,573.142.56%
Jan 201519,820.32-3.66%
Feb 201519,427.84-1.98%
Mar 201518,953.44-2.44%
Apr 201518,859.54-0.50%
May 201519,386.782.80%
Jun 201519,031.70-1.83%
Jul 201517,947.96-5.69%
Aug 201518,939.945.53%
Sep 201520,036.795.79%
Oct 201520,539.502.51%
Nov 201521,425.724.31%
Dec 201523,033.047.50%
Jan 201624,524.636.48%
Feb 201623,837.55-2.80%
Mar 201622,264.64-6.60%
Apr 201621,558.28-3.17%
May 201623,077.137.05%
Jun 201622,904.19-0.75%
Jul 201621,517.42-6.05%
Aug 201621,131.88-1.79%
Sep 201621,553.802.00%
Oct 201620,792.03-3.53%
Nov 201620,316.86-2.29%
Dec 201619,697.08-3.05%
Jan 201718,934.79-3.87%
Feb 201717,936.21-5.27%
Mar 201716,872.63-5.93%
Apr 201717,533.983.92%
May 201717,673.280.79%
Jun 201717,205.48-2.65%
Jul 201717,807.903.50%
Aug 201718,351.843.05%
Sep 201718,506.820.84%
Oct 201718,879.232.01%
Nov 201719,479.543.18%
Dec 201719,564.160.43%
Jan 201819,507.03-0.29%
Feb 201819,012.74-2.53%
Mar 201818,971.16-0.22%
Apr 201819,110.790.74%
May 201818,979.44-0.69%
Jun 201819,874.564.72%
Jul 201820,013.480.70%
Aug 201820,792.953.89%
Sep 201822,086.106.22%
Oct 201821,515.10-2.59%
Nov 201820,898.40-2.87%
Dec 201821,009.080.53%
Jan 201920,597.26-1.96%
Feb 201920,326.94-1.31%
Mar 201921,234.544.47%
Apr 201921,293.530.28%
May 201921,809.792.42%
Jun 201922,176.331.68%
Jul 201920,978.84-5.40%
Aug 201921,778.913.81%
Sep 201920,540.25-5.69%
Oct 201920,283.12-1.25%
Nov 201920,146.53-0.67%
Dec 201919,787.86-1.78%
Jan 202019,871.050.42%
Feb 202020,438.322.85%
Mar 202023,235.3013.68%
Apr 202025,583.5410.11%
May 202025,290.48-1.15%
Jun 202024,859.20-1.71%
Jul 202024,925.530.27%
Aug 202025,464.272.16%
Sep 202024,566.52-3.53%
Oct 202023,658.75-3.70%
Nov 202022,465.96-5.04%
Dec 202022,543.350.34%
Jan 202122,613.960.31%
Feb 202121,879.16-3.25%
Mar 202122,136.221.17%
Apr 202121,421.82-3.23%
May 202121,331.81-0.42%
Jun 202120,908.40-1.98%
Jul 202121,920.984.84%
Aug 202122,293.391.70%
Sep 202121,605.50-3.09%
Oct 202121,701.970.45%
Nov 202122,286.762.69%
Dec 202122,545.831.16%
Jan 202222,142.41-1.79%
Feb 202222,009.58-0.60%
Mar 202222,718.543.22%
Apr 202224,723.568.83%
May 202225,967.245.03%
Jun 202225,386.70-2.24%
Jul 202226,637.354.93%
Aug 202227,110.761.78%
Sep 202228,427.114.86%
Oct 202229,394.663.40%
Nov 202229,478.140.28%
Dec 202230,247.222.61%
Jan 202330,422.190.58%
Feb 202331,521.643.61%
Mar 202331,470.54-0.16%
Apr 202331,908.411.39%
May 202334,021.236.62%
Jun 202334,025.350.01%
Jul 202334,088.690.19%
Aug 202335,313.383.59%
Sep 202335,160.65-0.43%
Oct 202334,891.77-0.76%
Nov 202334,579.72-0.89%
Dec 202334,562.59-0.05%
Jan 202433,601.55-2.78%
Feb 202432,898.47-2.09%
Mar 202432,556.14-1.04%
Apr 202432,123.98-1.33%
May 202431,660.93-1.44%
Jun 202431,913.980.80%
Jul 202431,750.35-0.51%
Aug 202431,255.56-1.56%
Sep 202429,685.15-5.02%
Oct 202428,768.87-3.09%
Nov 202428,694.47-0.26%
Dec 202428,831.820.48%
Jan 202529,588.422.62%
Feb 202529,461.49-0.43%
Mar 202530,072.612.07%
Apr 202531,747.185.57%
May 202530,133.93-5.08%
Jun 202530,093.42-0.13%

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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