Coffee fell to 408.66 USd/Lbs on December 2, 2025, down 0.95% from the previous day. Over the past month, Coffee's price has risen 0.50%, and is up 38.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on December of 2025.

Coffee growers raise two species of coffee bean: Arabica and robusta. The former is more expensive, selling for 2.93 U.S. dollars per kilogram in 2018 and projected to increase in price to 6.9 U.S. dollars in 2027. Robusta, named because it can grow at a wider range of altitudes and temperatures, sold for 1.87 U.S. dollars in 2018, projected to sell at 4.6 U.S. dollars per kilogram in 2027. Coffee production Coffee originally comes from Ethiopia, where a significant portion of coffee production continues to take place. The more popular bean, Arabica, takes its name from the Arabian Empire, when coffee consumption spread throughout the Middle East. After overcoming its ban by the Catholic Church, who saw coffee as an intoxicant from the Muslim world, coffee sales per capita are highest in European countries. Major players Starbucks has shaped the modern coffee culture, capitalizing on the Seattle coffee shop scene. This opened gourmet coffee to a wider market, shifting the global demand from cheaper robusta to better-tasting Arabica varieties. This shift has influenced the world coffee market, prompting companies such as McDonalds to open McCafé stores to cater to the evolving tastes of global consumers.

Global prices for coffee have skyrocketed to a seven-year high, driven by fears of a significant reduction in production in Brazil due to freezes and the depletion of global stocks. Further growth in prices for the product will be stimulated by the reduction in production in other leading supplying countries such as Honduras and Indonesia, coupled with increased freight costs. A decrease in coffee production will lead to a fall in global exports by -4% y-o-y, which could lead to local imbalances in supply and demand and drive up consumer prices in key European and American markets.

View monthly updates and historical trends for Coffee Arabica Price. Source: World Bank. Track economic data with YCharts analytics.

View monthly updates and historical trends for New York Arabica Coffee Price. Source: International Monetary Fund. Track economic data with YCharts analyt…

View monthly updates and historical trends for Coffee Robusta Price. Source: World Bank. Track economic data with YCharts analytics.

Overview This comprehensive dataset offers an in-depth look at the financial performance of five major entities within the coffee industry from 2014 to 2024 (up to May 8, 2024). Included are stock prices of Keurig Dr Pepper, Starbucks, J.M. Smucker, Luckin Coffee, and Nestlé, paired with the corresponding periodical commodity prices for coffee. This data facilitates robust analyses including time series analysis, correlation studies, volatility analysis, and Vector Autoregression (VAR) analysis.

Key Companies Profiled Keurig Dr Pepper (KDP) and J.M. Smucker: These companies are leaders in the North American coffee market, known for their extensive portfolios of coffee products. Their data can provide insights into market strategies and financial health in response to fluctuating coffee prices. Starbucks: As a global leader in coffee retail, Starbucks' data reflects trends in consumer coffee consumption worldwide, offering a unique view of the retail sector's dynamics. Luckin Coffee: Representing a rapidly growing market, Luckin Coffee's data highlights the expansion and consumer trends within the Chinese coffee market. Nestlé: This global giant provides a broader perspective on how multinational food and beverage companies adapt to global commodity price changes, with a particular focus on coffee.

Applications of the Dataset This dataset is ideal for researchers, economists, and data scientists interested in: Market Trend Analysis: Understand how global events and market forces influence coffee prices and, in turn, affect company stocks. Consumer Behaviour Studies: Analyse consumption patterns across different regions, especially with a focus on the burgeoning Asian markets. Risk Management and Forecasting: Develop models to predict future trends and prepare risk management strategies for companies within the food and beverage sector. Sustainability Studies: Explore how price volatility relates to environmental factors and sustainability initiatives.

After three years of decline, the Ugandan green coffee market increased by 85% to $87M in 2024. Overall, consumption recorded a prominent expansion. Over the period under review, the market hit record highs at $284M in 2020; however, from 2021 to 2024, consumption failed to regain momentum.

Data Collecting

Historical Data on the Global Coffee Trade https://www.ico.org/new_historical.asp

International Coffee Organization(ICO) provides data on the coffee industry over 30 years between 1990-2019. I select 9 .xlsx files: production, domestic consumption, gross opening stocks, exports, imports, re-exports, price to growers, retail price, and consumption recorded for different countries and years. 5 of them --production, domestic consumption, gross opening stocks, exports, and price to growers-- includes data from the exporting countries and 4 of them have data from importing countries.

Data Cleaning

Each excel file should be a feature in the data frame in pandas. Our goal is to combine the tables into one, using 'pd.melt'and 'pd.merge'. At the same time, we deal with missing values and redundant values. Also, messy string data is cleaned.

Structure: assign a proper data type Quality: drop empty rows, unified format, remove unnessarily aggregated rows

Refer to https://github.com/mathjkim/coffee-crew

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Raw Coffee Beans Market Size 2025-2029

The raw coffee beans market size is forecast to increase by USD 8.06 billion at a CAGR of 3.7% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing number of cafes worldwide and the rising demand for sustainable and ethically sourced coffee beans. Furthermore, consumers are increasingly conscious of the environmental and social impact of their coffee consumption, leading to a preference for beans that are ethically sourced and grown sustainably. However, the market faces challenges, primarily in the form of price volatility for raw coffee beans.
The prices of raw coffee beans have been notoriously unstable, with fluctuations influenced by various factors such as weather conditions, political instability, and economic factors. This volatility can pose significant challenges for coffee roasters and retailers, requiring them to manage their inventory and pricing strategies effectively to mitigate the impact of price fluctuations on their profitability. Companies seeking to capitalize on market opportunities and navigate challenges effectively must stay informed of market trends, build strong relationships with coffee bean suppliers, and adopt flexible pricing strategies to respond to price fluctuations.

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

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The market continues to evolve, shaped by dynamic market forces and shifting consumer preferences. Shade-grown coffee, specialty coffee, and Organic Coffee are gaining traction, with a focus on sustainability and traceability becoming increasingly important. Coffee capsules and ground coffee are popular formats in the convenience-driven consumer landscape. Sustainability is a key concern for coffee growers, leading to initiatives like bird-friendly coffee and fair trade certifications. Coffee bean density and cupping play crucial roles in determining bean quality. Coffee importers and exporters navigate complex logistical challenges, including storage and transportation, to ensure timely delivery of seeds. Coffee roasters and blenders innovate to meet diverse consumer demands, from filter coffee to cold brew and instant varieties. The market's continuous unfolding is shaped by ongoing efforts to improve seeds quality, enhance sustainability, and cater to evolving consumer tastes.

How is this Raw Coffee Beans Industry segmented?

The raw coffee beans industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Arabica
  Robusta


Method

  Wet/Washed process
  Dry/Natural process
  Honey process


Grade

  Specialty Grade
  Commercial Grade
  Premium Grade


Consumer Segment

  Commercial (Cafes
  Roasters)
  Household


Geography

  North America

    US
    Mexico


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    Australia
    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The arabica segment is estimated to witness significant growth during the forecast period.

The global coffee market is driven by the increasing preference for specialty coffee, particularly Arabica beans, among consumers, especially in developed countries. Arabica beans, known for their superior taste and lower caffeine content, are highly sought after for their smooth and mild flavor profile. The gourmet coffee shop and café industry's growing popularity, which prioritizes Arabica-based blends, further boosts demand. Arabica coffee is primarily cultivated in regions such as Latin America, with Brazil being the world's largest producer, followed by Colombia and its renowned Medellin beans. Sustainability is a significant factor in the coffee industry, with a growing emphasis on fair trade, organic, and shade-grown coffee.

Coffee cooperatives and direct trade initiatives also play a crucial role in ensuring fair prices for coffee farmers. The coffee supply chain involves various entities, including coffee growers, importers, exporters, roasters, and retailers. Coffee beans undergo various processes, such as grading, cupping, and storage, to ensure optimal quality. The market also caters to various coffee consumption preferences, including ground, whole bean, filter, cold brew, and instant coffee, as well as various coffee pod and capsule systems. Coffee bean traceability and sustainability are essential factors for consumers, leading to an increased focus on transparency and ethical sourcing. The coffee industry continues to evolve, with emerging trends such as bird-friendly and single-origin coffee, Cold Brew Coffee, and the increasing popularity of coffee capsules an

In Q3 2025, North America Price Index for coffee in North America showed a moderate upward trend. Check detailed insights for APAC, Europe and South America.

View monthly updates and historical trends for New York Robusta Coffee Price. Source: International Monetary Fund. Track economic data with YCharts analyt…

The Coffee Market Report is Segmented by Product Type (Whole-Bean, Ground Coffee, and More), Distribution Channel (On-Trade and Off-Trade), Coffee Species (Arabica, Robusta and More), Origin (Single Origin/Specialty and Mixed), and Geography (North America, Europe, Asia-Pacific, South America, and Middle East and Africa). The Market Forecasts are Provided in Terms of Value (USD) and Volume (Tons).

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

The US Coffee Market Report is Segmented by Product Type (Whole Bean, Ground Coffee, Instant Coffee, and Coffee Pods and Capsules), Type (Conventional and Specialty), Packaging Type (Flexible, Rigid, and Single-Serve), Distribution Channel (On-Trade and Off-Trade Channel) and Geography (California, Texas, Florida, and More). The Market Forecasts are Provided in Terms of Value (USD).

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.

JVA Coffee Holding Co. Inc. Common Stock

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

Newell Brands stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

The Vietnam Coffee Market is Segmented Based On Product Type (Whole Bean, Ground Coffee, Instant Coffee, Coffee Pods and Capsules, and Ready-To-Drink), by Coffee Type (Arabica and Robusta), by Category (Conventional and Speciality), and by Distribution Channel (On-Trade and Off-Trade (Supermarkets/Hypermarkets, Convenience Stores, Specialty Stores, Online Retail, and More). The Market Forecasts are Provided in Terms of Value (USD).

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.

Dutch Bros Forecast: Optimistic Outlook for Coffee Chain (BROS)

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

The Italian Coffee Market Report is Segmented by Product Type (Whole Bean, Ground Coffee, Instant Coffee, and More), Flavor (Plain and Flavored), Category (Conventional and Specialty), Bean Type (Arabica, Robusta, and Others), and Distribution Channel (On-Trade and Off-Trade). The Market Forecasts are Provided in Terms of Value (USD) and Volume (Tons).