Fishmeal Monthly Price - Iranian Rial per Metric Ton

Data as of March 2026

Range
Apr 2006 - Jan 2019: 56,179,200.000 (899.23%)
Chart

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

Unit: Iranian Rial 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 20066,247,505.00-
May 20066,618,063.005.93%
Jun 20066,726,011.001.63%
Jul 20066,974,270.003.69%
Aug 20067,138,450.002.35%
Sep 20067,378,441.003.36%
Oct 20067,921,736.007.36%
Nov 20067,824,834.00-1.22%
Dec 20068,047,067.002.84%
Jan 20078,380,724.004.15%
Feb 20078,465,073.001.01%
Mar 20078,657,451.002.27%
Apr 20079,043,788.004.46%
May 200711,109,370.0022.84%
Jun 200712,557,810.0013.04%
Jul 200712,838,480.002.23%
Aug 200712,653,340.00-1.44%
Sep 200711,377,170.00-10.09%
Oct 200711,330,860.00-0.41%
Nov 200711,544,190.001.88%
Dec 200712,017,810.004.10%
Jan 200811,414,800.00-5.02%
Feb 200811,704,670.002.54%
Mar 200811,505,080.00-1.71%
Apr 200811,636,860.001.15%
May 200811,645,820.000.08%
Jun 200811,413,030.00-2.00%
Jul 200810,558,260.00-7.49%
Aug 200810,481,710.00-0.73%
Sep 200810,866,550.003.67%
Oct 200811,409,800.005.00%
Nov 200811,703,210.002.57%
Dec 200811,685,940.00-0.15%
Jan 200911,773,370.000.75%
Feb 200911,379,680.00-3.34%
Mar 200912,249,650.007.64%
Apr 200912,706,420.003.73%
May 200912,300,200.00-3.20%
Jun 200912,361,870.000.50%
Jul 200912,702,650.002.76%
Aug 200912,096,520.00-4.77%
Sep 200911,482,550.00-5.08%
Oct 200910,685,860.00-6.94%
Nov 200910,198,050.00-4.57%
Dec 200910,898,350.006.87%
Jan 201010,751,970.00-1.34%
Feb 201010,302,100.00-4.18%
Mar 201010,569,080.002.59%
Apr 201010,779,330.001.99%
May 201011,397,740.005.74%
Jun 201011,859,740.004.05%
Jul 201011,846,800.00-0.11%
Aug 201012,053,030.001.74%
Sep 201012,250,000.001.63%
Oct 201012,511,070.002.13%
Nov 201012,465,270.00-0.37%
Dec 201013,486,270.008.19%
Jan 201113,697,330.001.57%
Feb 201113,239,990.00-3.34%
Mar 201113,622,800.002.89%
Apr 201115,391,190.0012.98%
May 201115,127,860.00-1.71%
Jun 201115,246,850.000.79%
Jul 201114,259,590.00-6.48%
Aug 201113,572,030.00-4.82%
Sep 201117,747,880.0030.77%
Oct 201117,965,990.001.23%
Nov 201117,345,160.00-3.46%
Dec 201116,683,300.00-3.82%
Jan 201218,180,880.008.98%
Feb 201221,584,590.0018.72%
Mar 201221,657,900.000.34%
Apr 201221,259,700.00-1.84%
May 201219,702,800.00-7.32%
Jun 201219,106,960.00-3.02%
Jul 201218,426,410.00-3.56%
Aug 201217,545,650.00-4.78%
Sep 201216,604,450.00-5.36%
Oct 201216,671,270.000.40%
Nov 201216,417,490.00-1.52%
Dec 201215,975,880.00-2.69%
Jan 201323,618,520.0047.84%
Feb 201323,307,730.00-1.32%
Mar 201322,086,020.00-5.24%
Apr 201322,681,270.002.70%
May 201322,354,880.00-1.44%
Jun 201321,894,520.00-2.06%
Jul 201340,360,550.0084.34%
Aug 201342,506,430.005.32%
Sep 201341,344,870.00-2.73%
Oct 201341,065,760.00-0.68%
Nov 201340,153,740.00-2.22%
Dec 201338,481,720.00-4.16%
Jan 201438,136,520.00-0.90%
Feb 201438,748,520.001.60%
Mar 201441,378,360.006.79%
Apr 201441,542,100.000.40%
May 201441,689,430.000.35%
Jun 201444,063,160.005.69%
Jul 201445,036,480.002.21%
Aug 201445,835,200.001.77%
Sep 201444,720,610.00-2.43%
Oct 201445,274,290.001.24%
Nov 201448,368,200.006.83%
Dec 201448,393,540.000.05%
Jan 201546,878,080.00-3.13%
Feb 201546,294,460.00-1.24%
Mar 201543,879,390.00-5.22%
Apr 201544,351,240.001.08%
May 201546,265,160.004.32%
Jun 201545,031,930.00-2.67%
Jul 201542,505,140.00-5.61%
Aug 201543,684,620.002.77%
Sep 201544,091,050.000.93%
Oct 201545,541,160.003.29%
Nov 201545,498,420.00-0.09%
Dec 201546,268,560.001.69%
Jan 201645,216,860.00-2.27%
Feb 201645,641,030.000.94%
Mar 201643,632,500.00-4.40%
Apr 201644,657,820.002.35%
May 201645,587,010.002.08%
Jun 201646,328,860.001.63%
Jul 201646,133,050.00-0.42%
Aug 201647,845,780.003.71%
Sep 201648,202,390.000.75%
Oct 201647,079,690.00-2.33%
Nov 201646,643,070.00-0.93%
Dec 201645,893,080.00-1.61%
Jan 201745,233,880.00-1.44%
Feb 201743,745,740.00-3.29%
Mar 201742,325,600.00-3.25%
Apr 201742,074,810.00-0.59%
May 201743,161,290.002.58%
Jun 201743,273,200.000.26%
Jul 201744,222,080.002.19%
Aug 201745,653,260.003.24%
Sep 201747,106,220.003.18%
Oct 201747,198,220.000.20%
Nov 201748,746,720.003.28%
Dec 201752,673,260.008.05%
Jan 201858,233,500.0010.56%
Feb 201859,547,430.002.26%
Mar 201860,280,360.001.23%
Apr 201864,600,400.007.17%
May 201863,621,230.00-1.52%
Jun 201863,375,000.00-0.39%
Jul 201864,978,600.002.53%
Aug 201862,549,580.00-3.74%
Sep 201862,692,980.000.23%
Oct 201862,385,120.00-0.49%
Nov 201862,127,240.00-0.41%
Dec 201862,162,520.000.06%
Jan 201962,426,700.000.42%

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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