Fishmeal Monthly Price - Czech Koruna per Metric Ton

Data as of March 2026

Range
May 2006 - Mar 2026: 22,816.290 (142.51%)
Chart

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

Unit: Czech Koruna 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 200616,010.80-
Jun 200616,457.462.79%
Jul 200617,048.423.59%
Aug 200617,103.100.32%
Sep 200617,887.004.58%
Oct 200619,292.257.86%
Nov 200618,488.10-4.17%
Dec 200618,350.18-0.75%
Jan 200719,484.936.18%
Feb 200719,795.291.59%
Mar 200719,849.300.27%
Apr 200720,278.582.16%
May 200725,072.6923.64%
Jun 200728,810.1814.91%
Jul 200728,539.69-0.94%
Aug 200727,818.45-2.53%
Sep 200724,256.04-12.81%
Oct 200723,359.36-3.70%
Nov 200722,646.18-3.05%
Dec 200723,142.862.19%
Jan 200821,772.06-5.92%
Feb 200821,606.81-0.76%
Mar 200820,659.82-4.38%
Apr 200820,511.05-0.72%
May 200820,413.58-0.48%
Jun 200819,283.40-5.54%
Jul 200817,136.62-11.13%
Aug 200817,916.544.55%
Sep 200819,142.596.84%
Oct 200821,439.2812.00%
Nov 200823,481.729.53%
Dec 200823,000.21-2.05%
Jan 200924,481.836.44%
Feb 200926,536.318.39%
Mar 200926,185.23-1.32%
Apr 200925,857.34-1.25%
May 200924,634.61-4.73%
Jun 200923,931.69-2.85%
Jul 200923,388.23-2.27%
Aug 200921,876.29-6.46%
Sep 200920,216.81-7.59%
Oct 200918,819.30-6.91%
Nov 200917,815.90-5.33%
Dec 200919,500.329.45%
Jan 201019,696.321.01%
Feb 201019,628.15-0.35%
Mar 201019,976.351.77%
Apr 201020,238.841.31%
May 201022,632.7111.83%
Jun 201024,006.546.07%
Jul 201022,596.51-5.87%
Aug 201022,242.46-1.57%
Sep 201022,326.900.38%
Oct 201021,136.71-5.33%
Nov 201021,533.141.88%
Dec 201024,775.4015.06%
Jan 201124,256.25-2.10%
Feb 201122,799.30-6.01%
Mar 201122,960.760.71%
Apr 201124,856.048.25%
May 201124,384.49-1.90%
Jun 201123,240.68-4.69%
Jul 201123,110.67-0.56%
Aug 201121,724.14-6.00%
Sep 201129,606.1336.28%
Oct 201130,597.603.35%
Nov 201129,875.10-2.36%
Dec 201129,348.41-1.76%
Jan 201231,949.438.86%
Feb 201233,355.854.40%
Mar 201233,021.72-1.00%
Apr 201232,684.62-1.02%
May 201231,757.51-2.84%
Jun 201231,902.310.46%
Jul 201231,170.96-2.29%
Aug 201228,878.34-7.36%
Sep 201226,031.65-9.86%
Oct 201226,118.890.34%
Nov 201226,517.481.53%
Dec 201225,071.61-5.45%
Jan 201337,061.9847.82%
Feb 201336,217.82-2.28%
Mar 201335,672.71-1.51%
Apr 201336,711.762.91%
May 201336,375.83-0.92%
Jun 201334,881.58-4.11%
Jul 201334,083.33-2.29%
Aug 201333,256.48-2.43%
Sep 201332,251.46-3.02%
Oct 201331,079.17-3.63%
Nov 201332,193.333.58%
Dec 201331,194.11-3.10%
Jan 201431,009.42-0.59%
Feb 201431,325.151.02%
Mar 201432,721.654.46%
Apr 201432,382.47-1.04%
May 201432,644.030.81%
Jun 201434,758.226.48%
Jul 201435,175.411.20%
Aug 201436,123.602.70%
Sep 201435,937.78-0.51%
Oct 201436,933.922.77%
Nov 201440,077.598.51%
Dec 201440,210.110.33%
Jan 201541,217.272.50%
Feb 201540,820.30-0.96%
Mar 201539,685.58-2.78%
Apr 201539,938.610.64%
May 201539,789.84-0.37%
Jun 201537,682.28-5.30%
Jul 201535,502.71-5.78%
Aug 201535,590.880.25%
Sep 201535,494.00-0.27%
Oct 201536,681.973.35%
Nov 201538,169.794.06%
Dec 201538,192.180.06%
Jan 201637,302.84-2.33%
Feb 201636,873.96-1.15%
Mar 201635,230.64-4.46%
Apr 201635,142.13-0.25%
May 201635,835.551.97%
Jun 201636,508.281.88%
Jul 201636,503.67-0.01%
Aug 201637,107.531.65%
Sep 201637,020.95-0.23%
Oct 201636,456.25-1.53%
Nov 201636,457.600.00%
Dec 201636,524.860.18%
Jan 201735,577.65-2.59%
Feb 201734,268.31-3.68%
Mar 201733,015.92-3.65%
Apr 201732,465.88-1.67%
May 201731,975.42-1.51%
Jun 201731,199.83-2.43%
Jul 201730,625.01-1.84%
Aug 201730,646.580.07%
Sep 201730,750.740.34%
Oct 201730,210.68-1.76%
Nov 201730,202.21-0.03%
Dec 201731,997.605.94%
Jan 201833,368.484.28%
Feb 201832,938.16-1.29%
Mar 201833,062.410.38%
Apr 201832,605.83-1.38%
May 201832,837.040.71%
Jun 201832,989.520.46%
Jul 201833,081.570.28%
Aug 201832,814.44-0.81%
Sep 201832,757.66-0.17%
Oct 201833,401.901.97%
Nov 201833,747.741.04%
Dec 201833,597.09-0.45%
Jan 201933,391.98-0.61%
Feb 201933,365.35-0.08%
Mar 201933,528.920.49%
Apr 201934,395.302.58%
May 201934,827.911.26%
Jun 201934,507.12-0.92%
Jul 201934,085.20-1.22%
Aug 201933,323.85-2.23%
Sep 201932,557.19-2.30%
Oct 201931,646.39-2.80%
Nov 201931,420.87-0.71%
Dec 201931,382.36-0.12%
Jan 202031,340.54-0.13%
Feb 202031,353.930.04%
Mar 202033,661.937.36%
Apr 202034,913.023.72%
May 202034,878.72-0.10%
Jun 202034,406.60-1.35%
Jul 202034,328.10-0.23%
Aug 202032,739.35-4.63%
Sep 202033,318.321.77%
Oct 202033,224.82-0.28%
Nov 202032,323.42-2.71%
Dec 202032,457.850.42%
Jan 202132,114.44-1.06%
Feb 202131,653.98-1.43%
Mar 202132,482.502.62%
Apr 202132,189.22-0.90%
May 202131,887.20-0.94%
Jun 202131,745.22-0.45%
Jul 202132,635.272.80%
Aug 202132,544.49-0.28%
Sep 202131,983.01-1.73%
Oct 202132,111.290.40%
Nov 202131,970.61-0.44%
Dec 202131,896.50-0.23%
Jan 202230,909.25-3.10%
Feb 202231,150.080.78%
Mar 202234,401.7710.44%
Apr 202237,129.297.93%
May 202238,273.593.08%
Jun 202237,588.56-1.79%
Jul 202238,221.031.68%
Aug 202239,382.883.04%
Sep 202240,214.542.11%
Oct 202240,521.590.76%
Nov 202240,186.66-0.83%
Dec 202240,093.71-0.23%
Jan 202339,601.54-1.23%
Feb 202338,990.25-1.54%
Mar 202338,100.75-2.28%
Apr 202337,510.84-1.55%
May 202338,819.033.49%
Jun 202339,574.071.95%
Jul 202340,520.182.39%
Aug 202341,614.002.70%
Sep 202342,360.711.79%
Oct 202342,660.950.71%
Nov 202342,496.06-0.39%
Dec 202341,540.38-2.25%
Jan 202440,516.39-2.47%
Feb 202440,449.16-0.17%
Mar 202440,130.92-0.79%
Apr 202440,101.03-0.07%
May 202439,427.63-1.68%
Jun 202439,834.801.03%
Jul 202440,605.441.93%
Aug 202439,637.76-2.38%
Sep 202438,073.58-3.95%
Oct 202437,972.74-0.26%
Nov 202438,121.220.39%
Dec 202438,253.300.35%
Jan 202538,403.330.39%
Feb 202538,339.82-0.17%
Mar 202538,053.98-0.75%
Apr 202537,555.21-1.31%
May 202536,801.02-2.01%
Jun 202536,354.66-1.21%
Jul 202536,331.91-0.06%
Aug 202536,741.951.13%
Sep 202536,700.46-0.11%
Oct 202536,949.640.68%
Nov 202537,641.911.87%
Dec 202537,828.010.49%
Jan 202637,830.960.01%
Feb 202637,757.34-0.19%
Mar 202638,827.092.83%

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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