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.

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

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 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.

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

The report covers Brazil RTD Coffee Brands and is segmented by Packaging Type (Bottles, Cans, and Other Packaging Types), Product Type (Cold Brew Coffee and Other RTD Coffee), Distribution Channel (Supermarket/Hypermarkets, Specialist Stores, Online Retail, and Other Distribution Channels).

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).

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Starbucks Corporation, together with its subsidiaries, operates as a roaster, marketer, and retailer of coffee worldwide.

The dataset includes the daily Starbucks Corporation stock price.

The size of the US Coffee Market was valued at USD 28.06 Million in 2023 and is projected to reach USD 36.16 Million by 2032, with an expected CAGR of 3.69% during the forecast period. Recent developments include: November 2022: The Nestlé brand Nespresso launched plant-based home compostable coffee capsules. It offers premium quality coffee without compromising the taste. The capsules are made compatible with Nespresso Original machines., June 2022: Keurig Dr. Pepper Inc. and Intelligentsia Coffee launched Intelligentsia K-Cup Pods for the Keurig brewing system. The super-premium coffee brand will be offered to consumers in this format for the first time., August 2022: Tim Hortons unveiled four new varieties of espresso capsules compatible with Nespresso machines. These four varieties include classic, bright, bold, and decaf.. Key drivers for this market are: Demand for Specialty Coffee, Popularity of Clean Labeled Products. Potential restraints include: Emergence of Tea as a Healthier Alternative. Notable trends are: Working Youth Population Boosting the Market Growth.

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

After four years of growth, the Colombian roasted coffee market decreased by -1.3% to $1.3B in 2024. The market value increased at an average annual rate of +1.7% over the period from 2012 to 2024; the trend pattern indicated some noticeable fluctuations being recorded throughout the analyzed period. Roasted coffee consumption peaked at $1.3B in 2023, and then shrank modestly in the following year.

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

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 global coffee market size was USD 97.71 billion in 2024 & is projected to grow from USD 102.98 billion in 2025 to USD 156.85 billion by 2033.
Report Scope:

After two years of growth, the Ethiopian green coffee market decreased by -15% to $1.3B in 2024. Over the period under review, the total consumption indicated a resilient increase from 2012 to 2024: its value increased at an average annual rate of +6.6% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption increased by +62.7% against 2019 indices.

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

By 2035, the Coffee Market is estimated to expand to USD 241.6 Billion, showcasing a robust CAGR of 5.6% between 2025 and 2035, starting from a valuation of USD 132.7 Billion in 2024.