Cocoa rose to 8,275.30 USD/T on July 14, 2025, up 1.20% from the previous day. Over the past month, Cocoa's price has fallen 18.06%, and is down 3.20% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cocoa - values, historical data, forecasts and news - updated on July of 2025.

Cocoa beans stock price is determined by factors such as supply and demand, weather conditions, political stability, and global economic conditions. This article explores how these factors influence the stock price of cocoa beans and discusses their significance for investors and traders in the commodities market.

Between 2016 and 2024, the monthly price of cocoa worldwide peaked in April 2024 at about ***** U.S. dollars per metric ton. Global cocoa industry Global cocoa production is expected to reach about *** million tons in the 2023/2024 crop year. Most of the world’s cocoa beans are grown in Africa; in 2023/2024, about *** million tons of cocoa beans were produced there, while about *** million tons were grown in the Americas. Within Africa, Côte d'Ivoire and Ghana were the countries with the highest production of cocoa beans. Chocolate retail worldwide In 2016, Mars controlled a **** percent share of the chocolate market worldwide, making it the single biggest player in the chocolate industry. Mars owns such chocolate brands as M&Ms, Snickers, and Dove. The countries with the highest per capita chocolate consumption are Switzerland, Austria, and Germany.

Graph and download economic data for Global price of Cocoa (PCOCOUSDM) from Jan 1990 to Apr 2025 about cocoa, World, and price.

The closure of the HoReCa segment caused the demand for cocoa beans to collapse in 2020, while the production remained stable. This led to a surge in unsold cocoa bean stocks in exporter-countries. EU chocolate producers are now trying to enlist a range of measures to ensure stable demand and secure supply chains on the cocoa bean market.

Gain extensive data on cocoa including production, prices, stocks, consumption, and more, with LSEG's International Cocoa Organization (ICCO) dataset.

This statistic depicts the average annual prices for cocoa from 2014 through 2026*. In 2023, the average price for cocoa stood at 3.28 nominal U.S. dollars per kilogram.

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Cocoa Beans Market Size 2025-2029

The cocoa beans market size is forecast to increase by USD 3.58 billion, at a CAGR of 4.5% between 2024 and 2029.

The market is experiencing significant growth, driven by the escalating popularity of chocolate-flavored beverages. This trend is fueled by consumers' increasing preference for indulgent and convenient food and beverage options, particularly in the rapidly expanding coffee shop and quick-service restaurant sectors. Furthermore, the expanding global middle class, particularly in emerging economies, is fueling a surge in demand for chocolate products. However, the market is not without challenges. The volatility in prices of cocoa beans poses a significant risk for market participants. Cocoa bean prices are influenced by various factors, including weather conditions, supply and demand dynamics, and geopolitical tensions. These price fluctuations can impact the profitability of cocoa bean producers and processors, as well as manufacturers of chocolate and chocolate-flavored products. Additionally, the increasing number of mergers and acquisitions in the industry is intensifying competition and reshaping the market landscape. Companies must navigate these challenges to capitalize on the market's growth opportunities and maintain a competitive edge.

What will be the Size of the Cocoa Beans Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by various factors that shape its dynamics. Price fluctuations are a persistent feature, influenced by supply chain management, global trade, and international standards. The demand for cocoa powder supplements in the health and wellness sector and the antioxidant properties of cocoa have fueled growth. Farming practices, from organic certification to sustainable agriculture, impact bean quality and consumer preferences. Retail distribution channels have expanded, with e-commerce and digital marketing playing increasingly significant roles. The cosmetic industry and chocolate truffles have emerged as new applications for cocoa, while food safety remains a critical concern. Chocolate making, from chocolate bars to chocolate confectionery, requires precise ingredient cost management and quality control. Cocoa nibs and cocoa butter extract are gaining popularity due to their unique flavor profiles and nutritional value. The food industry's evolving trends, such as consumer education and demand forecasting, influence pricing strategies. Theobroma cacao, the source of cocoa beans, is subject to market volatility, affecting the entire supply chain. Fair trade and brand building initiatives are shaping the market, with consumers increasingly aware of the social and environmental implications of their choices. The ongoing unfolding of these market activities highlights the continuous nature of the market and the need for adaptive strategies.

How is this Cocoa Beans Industry segmented?

The cocoa beans industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ApplicationConfectioneryFunctional food and beverageCosmeticsOthersProductCocoa butterCocoa powderCocoa beveragesOthersTypeForasteroTrinitarioCriolloNatureOrganicConventionalSale ChannelB2BB2CGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKMiddle East and AfricaEgyptKSAOmanUAEAPACChinaIndiaJapanSouth AmericaArgentinaBrazilRest of World (ROW).

By Application Insights

The confectionery segment is estimated to witness significant growth during the forecast period.The market is experiencing significant growth due to the increasing demand for low-fat alkalized and natural cocoa powders in various confectionery products, such as toffee, hard candy, boiled sweets, marshmallows, count lines, and fondants. The confectionery segment is anticipated to dominate the market during the forecast period, driven by the popularity of cocoa-based chocolate and confectionery drops/chunks. Companies like Mars and Nestle are innovating by producing chocolate liquor with high cocoa mass, enhancing the chocolate flavor. For instance, Prodigy Snacks Ltd, a UK confectionery company, introduced Phenomenoms, a new chocolate biscuit range, on May 30, 2022. International standards, certification schemes, and fair trade practices are essential in maintaining quality control and consumer trust. Supply chain management and global trade play crucial roles in ensuring a steady supply of cocoa beans. Consumer education, demand forecasting, and flavor profiles influence purchasing decisions. Cocoa nibs, sustainable agriculture, and health benefits are emerging trends. Market volatility and pri

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Cocoa Futures Show Bullish Trend, DJ Commodity Cocoa Index Forecasts Rise

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This table contains 11 series, with data for years 1946 - 1994 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Production and stocks (11 items: Cereals ready to serve; Macaroni, et cetera, dry; Prepared cake mixes; Mixes, all other flour based; ...).

The study was conducted at 15 sites across Côte d’Ivoire, covering a South-North climate and vegetation gradient from evergreen to semi-deciduous forests. These sites were selected to represent varying cocoa field characteristics, including structural complexity (ranging from monocultures to agroforests), cocoa field age (young to mature), and cocoa tree productivity (low to high). Each site had 10 cocoa plots, ranging from 0.3 to 5 hectares. The carbon stocks of all trees, including remnant, spontaneous, and planted trees, have been estimated using the BIOMASS R package. This tool provides a robust and widely accepted methodology for calculating tree biomass and carbon stocks, ensuring accurate and reliable estimates for this dataset., Study Sites Study plots have been selected from 15 locations throughout the cocoa production area (the forest zone) of Côte d’Ivoire (Fig. 1). These sites are situated along a South-North climate gradient, with mean annual temperatures ranging from 22.6°C to 26.2°C and annual rainfall varying between 1,900 mm and 1,100 mm. This climate gradient corresponds to a South-North vegetation gradient, transitioning from evergreen forests to semi-deciduous forests. To capture the diversity of cocoa fields, we identified 10 cocoa fields at each site, focusing on three key criteria: (i) structural complexity, ranging from nearly full-sun cocoa monocultures to complex cocoa agroforests; (ii) age of the cocoa fields, encompassing both young (< 20 years) and mature (> 20 years) plots; and (iii) cocoa tree yield, varying from low productivity (< 300 kg) to high productivity (> 300 kg). The study plots vary in size from 0.3 to 5 hectares and serve as the sampling units, corresponding to the..., , # Tree carbon fluxes and stocks in West African cocoa plantations

https://doi.org/10.5061/dryad.qfttdz0sm

Description of the data and file structure

• Two Response Variables were calculated: Carbon Stocks per plot, Carbon Stocks per tree
• Four Explanatory Variables were gathered through interviews and included characteristics related to the farmers (e.g., land ownership, botanical knowledge) and cocoa fields (previous land use, Cocoa plant density).

Files and variables

File: bd_plot.csv

Description: Geographical coordinates of the sampled plots

Variables

• plot_ID: Unique identifier of the plot
• lat: Latitude
• lon: Longitude

File: table_stock.csv

Description: Carbon stocks per cohort per plot

Variables

• plot_ID: Unique identifier of the plot
• origin: 1 planted, 2 spontaneous, 3 remnant
• c_ha: Carbon stock per hectare (Mg.ha-1)
• owner: ownership status of the cocoa farmer (1 own...

Lindt & Spruengli AG enjoys a 28% rise in shares by passing costs to consumers, while Barry Callebaut AG struggles with a 30% decline amid soaring cocoa prices.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Cocoa Index Forecast: Mixed Outlook

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This dataset is about stocks. It has 1 row and is filtered where the company is Rocky Mountain Chocolate Factory. It features 8 columns including stock name, company, exchange, and exchange symbol.

Cocoa Market set to hit USD 165.2 Billion by 2034, expanding at a CAGR of 7.5%, driven by rising demand in food, beverage, and cosmetic industries

In 2024, the U.S. cocoa butter market increased by 25% to $1.4B, rising for the fourth year in a row after three years of decline. The market value increased at an average annual rate of +5.7% from 2012 to 2024; however, the trend pattern indicated some noticeable fluctuations being recorded in certain years. As a result, consumption reached the peak level and is likely to continue growth in the immediate term.

The global cocoa butter market is estimated to be worth USD 8,859.1 million in 2025 and is projected to reach a value of USD 10,589.3 million by 2035, expanding at a CAGR of 1.8% over the assessment period of 2025 to 2035.

Attributes	Description
Estimated Global Cocoa Butter Business Size (2025E)	USD 8,859.1 million
Projected Global Cocoa Butter Business Value (2035F)	USD 10,589.3 million
Value-based CAGR (2025 to 2035)	1.8%

Semi-Annual Market Update

Particular	Value CAGR
H1 (2024 to 2034)	1.6%
H2 (2024 to 2034)	1.8%
H1 (2025 to 2035)	1.7%
H2 (2025 to 2035)	1.9%

Country-wise Insights

Country	United States
Market Volume (USD Million)	1,010.00
CAGR (2025 to 2035)	3.70%

Country	Germany
Market Volume (USD Million)	735.8
CAGR (2025 to 2035)	2.70%

Country	China
Market Volume (USD Million)	857.4
CAGR (2025 to 2035)	5.60%

Country	Japan
Market Volume (USD Million)	402.7
CAGR (2025 to 2035)	6.80%

Country	United Kingdom
Market Volume (USD Million)	735.8
CAGR (2025 to 2035)	2.70%

Category-Wise Insights

Segment	Value Share (2025)
Natural Cocoa Butter (By Product Type)	54.3%

Segment	Value Share (2025)
Food & Beverage (By End Use)	62.1%

This statistic shows the consequences of out of stock hot chocolate or cocoa products among consumers in the United States, United Kingdom and Germany as of February 2017. During the survey, approximately ** percent of respondents in the United States reported purchasing a different hot chocolate or cocoa brand when their usual brand is unavailable.

Outsmart competitors: Analyze Cocoa Powder sales cycles on WooCommerce. Compare your growth trajectory against category averages (presented as logarithmic values) to identify underutilized promotion windows and stock positioning gaps.

Poland Product Stocks: PKWiU: Chocolate incl White data was reported at 10.800 Ton th in Mar 2018. This records an increase from the previous number of 10.200 Ton th for Dec 2017. Poland Product Stocks: PKWiU: Chocolate incl White data is updated quarterly, averaging 6.900 Ton th from Sep 2002 (Median) to Mar 2018, with 63 observations. The data reached an all-time high of 14.300 Ton th in Dec 2013 and a record low of 2.600 Ton th in Jun 2003. Poland Product Stocks: PKWiU: Chocolate incl White data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.C006: Product Deliveries and Stocks: Polish Classification of Products and Services.