Fishmeal Monthly Price - Mauritius Rupee per Metric Ton

Data as of March 2026

Range
Jun 2002 - Mar 2026: 65,781.720 (323.07%)
Chart

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

Unit: Mauritius Rupee 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
Jun 200220,361.18-
Jul 200219,662.98-3.43%
Aug 200219,273.98-1.98%
Sep 200219,163.44-0.57%
Oct 200218,891.81-1.42%
Mar 200316,876.21-10.67%
Apr 200316,210.13-3.95%
May 200317,014.664.96%
Jun 200318,342.827.81%
Jul 200318,758.722.27%
Aug 200317,953.79-4.29%
Sep 200318,020.130.37%
Oct 200318,440.742.33%
Nov 200318,938.412.70%
Dec 200318,232.88-3.73%
Jan 200417,519.63-3.91%
Feb 200417,319.77-1.14%
Mar 200417,154.93-0.95%
Apr 200417,556.102.34%
May 200417,875.771.82%
Jun 200418,063.861.05%
Jul 200417,978.08-0.47%
Aug 200417,675.26-1.68%
Sep 200417,818.210.81%
Oct 200417,964.630.82%
Nov 200418,314.251.95%
Dec 200418,524.581.15%
Jan 200520,203.149.06%
Feb 200520,509.421.52%
Mar 200519,943.12-2.76%
Apr 200519,740.98-1.01%
May 200519,532.83-1.05%
Jun 200519,702.420.87%
Jul 200519,606.52-0.49%
Aug 200519,337.23-1.37%
Sep 200519,554.151.12%
Oct 200519,897.721.76%
Nov 200520,436.002.71%
Dec 200520,889.712.22%
Jan 200620,086.14-3.85%
Feb 200620,532.742.22%
Mar 200620,945.972.01%
Apr 200621,064.620.57%
May 200622,274.985.75%
Jun 200622,616.531.53%
Jul 200623,616.444.42%
Aug 200624,741.494.76%
Sep 200626,106.805.52%
Oct 200628,166.447.89%
Nov 200628,394.970.81%
Dec 200629,779.884.88%
Jan 200730,521.692.49%
Feb 200730,460.76-0.20%
Mar 200730,484.660.08%
Apr 200731,352.642.85%
May 200737,356.8019.15%
Jun 200742,712.9514.34%
Jul 200743,098.910.90%
Aug 200741,798.80-3.02%
Sep 200737,544.34-10.18%
Oct 200736,679.39-2.30%
Nov 200737,207.591.44%
Dec 200737,268.290.16%
Jan 200835,041.03-5.98%
Feb 200835,168.070.36%
Mar 200833,767.90-3.98%
Apr 200833,270.79-1.47%
May 200834,442.603.52%
Jun 200833,711.87-2.12%
Jul 200830,686.23-8.97%
Aug 200830,625.81-0.20%
Sep 200832,564.016.33%
Oct 200835,055.097.65%
Nov 200838,265.029.16%
Dec 200837,877.22-1.01%
Jan 200938,663.372.08%
Feb 200939,921.813.25%
Mar 200942,587.716.68%
Apr 200942,980.800.92%
May 200941,656.25-3.08%
Jun 200940,867.29-1.89%
Jul 200940,913.960.11%
Aug 200938,621.05-5.60%
Sep 200935,995.13-6.80%
Oct 200932,800.41-8.88%
Nov 200930,769.73-6.19%
Dec 200932,128.074.41%
Jan 201032,198.820.22%
Feb 201031,488.51-2.21%
Mar 201032,481.133.15%
Apr 201032,899.481.29%
May 201036,022.689.49%
Jun 201037,206.533.29%
Jul 201035,322.80-5.06%
Aug 201035,226.27-0.27%
Sep 201036,269.262.96%
Oct 201035,627.41-1.77%
Nov 201035,877.930.70%
Dec 201039,750.9510.80%
Jan 201140,414.711.67%
Feb 201137,858.59-6.32%
Mar 201137,779.50-0.21%
Apr 201141,226.529.12%
May 201139,904.48-3.21%
Jun 201138,720.65-2.97%
Jul 201138,131.42-1.52%
Aug 201135,925.39-5.79%
Sep 201147,565.0032.40%
Oct 201148,947.552.91%
Nov 201146,452.50-5.10%
Dec 201144,358.12-4.51%
Jan 201247,505.637.10%
Feb 201251,016.737.39%
Mar 201251,241.990.44%
Apr 201250,442.60-1.56%
May 201247,174.84-6.48%
Jun 201247,402.930.48%
Jul 201246,616.88-1.66%
Aug 201243,812.87-6.02%
Sep 201241,017.82-6.38%
Oct 201241,932.382.23%
Nov 201241,361.86-1.36%
Dec 201239,957.82-3.39%
Jan 201358,799.4047.15%
Feb 201357,986.26-1.38%
Mar 201355,763.03-3.83%
Apr 201357,421.142.97%
May 201356,635.71-1.37%
Jun 201355,106.93-2.70%
Jul 201353,307.34-3.27%
Aug 201352,757.99-1.03%
Sep 201351,381.26-2.61%
Oct 201349,993.88-2.70%
Nov 201349,180.95-1.63%
Dec 201346,846.52-4.75%
Jan 201446,442.23-0.86%
Feb 201447,085.061.38%
Mar 201449,588.915.32%
Apr 201448,951.43-1.29%
May 201449,130.560.37%
Jun 201452,163.956.17%
Jul 201452,564.160.77%
Aug 201452,972.800.78%
Sep 201452,336.64-1.20%
Oct 201453,192.911.64%
Nov 201456,898.946.97%
Dec 201456,656.82-0.43%
Jan 201555,304.98-2.39%
Feb 201555,280.82-0.04%
Mar 201555,545.220.48%
Apr 201556,663.002.01%
May 201556,657.23-0.01%
Jun 201554,294.70-4.17%
Jul 201551,032.88-6.01%
Aug 201551,828.111.56%
Sep 201552,005.520.34%
Oct 201553,990.953.82%
Nov 201554,743.411.39%
Dec 201555,462.481.31%
Jan 201654,078.87-2.49%
Feb 201654,012.98-0.12%
Mar 201651,409.48-4.82%
Apr 201651,760.680.68%
May 201652,740.501.89%
Jun 201653,720.451.86%
Jul 201653,004.77-1.33%
Aug 201654,259.222.37%
Sep 201654,296.140.07%
Oct 201652,969.21-2.44%
Nov 201652,236.79-1.38%
Dec 201651,162.99-2.06%
Jan 201750,118.59-2.04%
Feb 201748,012.37-4.20%
Mar 201746,268.28-3.63%
Apr 201745,770.42-1.08%
May 201746,301.851.16%
Jun 201746,260.06-0.09%
Jul 201746,237.13-0.05%
Aug 201745,926.17-0.67%
Sep 201746,760.211.82%
Oct 201746,849.060.19%
Nov 201747,219.040.79%
Dec 201749,796.185.46%
Jan 201852,684.365.80%
Feb 201852,330.46-0.67%
Mar 201853,014.811.31%
Apr 201853,222.000.39%
May 201852,197.14-1.93%
Jun 201851,463.21-1.41%
Jul 201851,242.22-0.43%
Aug 201850,622.01-1.21%
Sep 201851,155.951.05%
Oct 201851,108.45-0.09%
Nov 201850,909.36-0.39%
Dec 201850,707.36-0.40%
Jan 201950,751.410.09%
Feb 201950,270.90-0.95%
Mar 201950,954.091.36%
Apr 201952,353.712.75%
May 201953,026.701.29%
Jun 201954,053.091.94%
Jul 201953,508.32-1.01%
Aug 201951,640.09-3.49%
Sep 201950,227.65-2.74%
Oct 201949,532.15-1.38%
Nov 201949,688.460.32%
Dec 201950,046.700.72%
Jan 202050,527.050.96%
Feb 202050,836.740.61%
Mar 202053,762.955.76%
Apr 202055,407.533.06%
May 202056,028.741.12%
Jun 202058,208.883.89%
Jul 202059,728.742.61%
Aug 202059,006.98-1.21%
Sep 202058,653.57-0.60%
Oct 202057,575.28-1.84%
Nov 202057,872.610.52%
Dec 202059,563.202.92%
Jan 202159,244.14-0.54%
Feb 202159,107.04-0.23%
Mar 202159,584.600.81%
Apr 202160,416.531.40%
May 202161,577.981.92%
Jun 202161,843.850.43%
Jul 202164,469.494.25%
Aug 202164,379.18-0.14%
Sep 202163,389.93-1.54%
Oct 202162,697.58-1.09%
Nov 202162,176.59-0.83%
Dec 202161,803.98-0.60%
Jan 202262,304.810.81%
Feb 202263,261.951.54%
Mar 202266,829.135.64%
Apr 202271,751.597.37%
May 202270,760.16-1.38%
Jun 202271,150.820.55%
Jul 202271,524.380.53%
Aug 202273,177.732.31%
Sep 202272,470.88-0.97%
Oct 202272,359.66-0.15%
Nov 202273,924.032.16%
Dec 202276,607.453.63%
Jan 202378,757.072.81%
Feb 202380,593.522.33%
Mar 202380,386.67-0.26%
Apr 202379,554.30-1.04%
May 202381,389.182.31%
Jun 202382,906.341.86%
Jul 202385,946.783.67%
Aug 202385,863.99-0.10%
Sep 202383,588.02-2.65%
Oct 202381,715.61-2.24%
Nov 202383,067.811.65%
Dec 202381,966.12-1.33%
Jan 202480,065.87-2.32%
Feb 202479,296.72-0.96%
Mar 202479,853.400.70%
Apr 202479,401.70-0.57%
May 202479,803.130.51%
Jun 202481,147.171.68%
Jul 202481,693.790.67%
Aug 202480,697.22-1.22%
Sep 202477,893.84-3.47%
Oct 202476,086.20-2.32%
Nov 202475,030.88-1.39%
Dec 202475,111.320.11%
Jan 202574,257.05-1.14%
Feb 202574,657.930.54%
Mar 202575,128.840.63%
Apr 202575,988.131.14%
May 202576,528.520.71%
Jun 202577,235.050.92%
Jul 202578,672.591.86%
Aug 202580,037.651.74%
Sep 202581,027.021.24%
Oct 202580,747.72-0.34%
Nov 202582,881.402.64%
Dec 202584,450.691.89%
Jan 202684,832.230.45%
Feb 202685,158.380.38%
Mar 202686,142.901.16%

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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