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.

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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.

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.

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

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

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.

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

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.

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 Peruvian green coffee market contracted notably to $671M in 2024, falling by -15.3% against the previous year. In general, consumption, however, enjoyed a buoyant increase. Green coffee consumption peaked at $792M in 2023, and then dropped notably in the following year.

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The Coca-Cola Company, a beverage company, manufactures, markets, and sells various nonalcoholic beverages worldwide. The company provides sparkling soft drinks, sparkling flavors; water, sports, coffee, and tea; juice, value-added dairy, and plant-based beverages; and other beverages. It also offers beverage concentrates and syrups, as well as fountain syrups to fountain retailers, such as restaurants and convenience stores.

The dataset includes the daily Coca-Cola stock price.

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 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).

Asia Pacific has the largest region to grow the global coffee capsule maker market The commercial segment is expected to grow at a significant CAGR during the forecast period

Market Dynamics of Coffee Capsule Market

Key Drivers for Coffee Capsules Market

Innovation in new flavours to drive market demand for Coffee Capsule Market

Innovation in flavors and formats has significantly boosted the coffee capsule market, catering to the evolving preferences of Millennials and Gen Z. These generations seek customizable, convenient, and ethically produced beverages. In response, brands have introduced plant-based options like oat and almond milk lattes, as well as single-origin and flavored capsules, meeting the demand for diverse coffee experiences. Technological advancements such as app-powered ordering and smart brewing systems further enhance convenience and personalization, expanding the market's reach. For instance, in August 2024, Eggo partnered with Two Rivers Coffee to launch a line of waffle-flavoured coffee pods, available in flavours like Blueberry, Chocolate Chip, and Maple Syrup, designed for Keurig brewers. (Source: https://www.foodandwine.com/eggo-coffee-waffle-flavored-coffee-pods-8680607?)

Ready-To-Drink Coffee to boost market demand of the Coffee Capsule Market

The ready-to-drink (RTD) coffee capsule market is experiencing significant growth, driven by consumer demand for convenience and health-conscious options. Innovations such as sugar-free variants, plant-based ingredients, and functional additives like adaptogens and probiotics are attracting health-conscious consumers. Packaging advancements, including recyclable materials and sustainable practices, align with environmental concerns. Generational preferences, particularly among Millennials and Gen Z, are influencing product offerings and marketing strategies. The market's expansion is further supported by investments in digital infrastructure and distribution channels, enhancing product accessibility and visibility. In October 2024, Nespresso launched its first ready-to-drink coffee, Master Origins Colombia, featuring high-quality coffee beans blended with Colombian honey, available in the US through boutiques, online, and the mobile app. (Source; https://www.fooddive.com/news/nestle-nespresso-first-ready-to-drink-coffee/728129/)

Key Restraint for Coffee Capsules Market

Price Volatility to Hamper Market Growth

Price volatility in the coffee capsule market is influenced by factors like adverse weather, crop diseases, and geopolitical tensions, leading to unpredictable fluctuations in raw coffee bean prices. These price increases disrupt stability, affecting both consumer demand and supply chains. Small-scale farmers, especially in developing countries, struggle with price fluctuations, discouraging long-term investment and hindering the growth of the coffee capsule market. For instance, in September 2024, Arabica coffee futures surged to a 13-year high of $2.65 per pound, driven by adverse weather conditions in Brazil and increased demand for Arabica beans due to shortages of Robusta beans.
(Source: https://wyomingstarnews.org/2024/09/16/arabica-coffee-prices-reach-13-year-high-amid-supply-disruptions/?)

Key Trends for Coffee Capsules Market

Online Platforms are Creating Opportunities for the Coffee Capsule Market

Online platforms have revolutionized the coffee capsule market by offering consumers convenient access to a diverse range of products through e-commerce and subscription services. These platforms enable personalized experiences, allowing customers to explore various roasts and origins from the comfort of their homes. Targeted online marketing ensures that coffee brands reach specific demographics effectively. Direct interactions between producers and consumers foster transparency and trust. Customer reviews and digital recommendations play a significant role in influencing purchasing decisions. The shift towards contactless transactions and customization options has further enhanced the global coffee shopping experience.

Introduction of the Coffee Capsule Market

Coffee Capsules are single-use containers pre-filled with ground coffee, designed for use in compatible coffee machines, offering convenience and consistency. The coffee capsule is driven by consumer demand for quick, ...

The UK green coffee market declined to $490M in 2024, with a decrease of -7.2% against the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). In general, consumption, however, recorded a relatively flat trend pattern. As a result, consumption attained the peak level of $579M. From 2023 to 2024, the growth of the market failed to regain momentum.