Sugar rose to 15.50 USd/Lbs on September 23, 2025, up 1.61% from the previous day. Over the past month, Sugar's price has fallen 5.52%, and is down 33.16% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Sugar - values, historical data, forecasts and news - updated on September of 2025.

Sugar Price Index in World increased to 103.60 Index Points in August from 103.30 Index Points in July of 2025. This dataset includes a chart with historical data for World Sugar Price Index.

This statistic depicts the average annual prices for sugar from 2014 through 2026*. In 2024, the average price for sugar stood at 0.45 nominal U.S. dollars per kilogram.

Stock Price Time Series for Khonburi Sugar Public Company Limited. Khonburi Sugar Public Company Limited engages in the manufacture and distribution of sugar in Thailand, rest of Asia, and Europe. It operates through three segments: Sugar Cane, Sugar and Molasses Trading, and Utilities. The Sugar Cane segment produces and distributes sugar cane, as well as provides agricultural machines and vehicles, including sugar cane harvesters and tractors to planters. The Sugar and Molasses Trading segment purchases and sells sugar, molasses, and by products. The Utilities segment is involved in the generation of electricity and steam using bagasse as fuel. Its products include refined, white, brown, double sweet, and raw sugar. The company also provides knowledge seminars to planters; and engages in the agricultural and farming activities. Khonburi Sugar Public Company Limited was founded in 1965 and is headquartered in Bangkok, Thailand.

Dangote Sugar Refinery PLC stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Stock Price Time Series for Thai Sugar Terminal Public Company Limited. TSTE Public Company Limited, together with its subsidiaries, primarily engages in the production and distribution of wheat flour in Thailand. The company is also involved in the production and sale of packaging, such as plastic bags, plastic bottles, and others; investment in container port business; operation of a warehouse business in bulk and sack types, including cargo handling and packaging change services and container port; and apartment, high 4 floors 45 rooms, and trading businesses, as well as operates as a trust manager. In addition, it engages in the property rental and trading; real estate management; silo and warehouse and palm oil extracting operations; recruitment and management laborer operations; and manufacture and distribution of seaweed, seasoned seaweed, snacks, and ready meals, as well as offers port services and goods transfer for cargoship, and drinking water and ready-to eat food. The company was formerly known as Thai Sugar Terminal Public Company Limited and changed its name to TSTE Public Company Limited in May 2023. TSTE Public Company Limited was founded in 1976 and is based in Samut Prakan, Thailand.

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Raw Sugar Market Size 2025-2029

The raw sugar market size is valued to increase USD 152.7 million, at a CAGR of 2.3% from 2024 to 2029. Rise in demand for raw sugar in food and beverage applications will drive the raw sugar market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 45% growth during the forecast period.
By Product - Liquid sugar segment was valued at USD 765.70 million in 2023
By Type - Conventional segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 14.37 million
Market Future Opportunities: USD 152.70 million
CAGR : 2.3%
APAC: Largest market in 2023

Market Summary

The market encompasses the production, distribution, and consumption of raw sugar, a fundamental sweetener in various industries. Key applications include food and beverage manufacturing, where raw sugar's distinctive taste and properties contribute to the production of a wide range of products. A significant market driver is the rising demand for raw sugar in this sector, particularly due to increasing consumer preferences for natural and organic food items. Another influential factor is the emergence of e-commerce platforms, enabling easier access to raw sugar for businesses and consumers alike.
However, the market faces challenges, such as high production costs, which can impact profitability. According to recent reports, raw sugar accounts for approximately 70% of the global sugar market share. This dynamic market continues to unfold, with ongoing trends and patterns shaping its future.

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

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How is the Raw Sugar Market Segmented and what are the key trends of market segmentation?

The raw sugar 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.

Product

  Liquid sugar
  Crystallized sugar


Type

  Conventional
  Organic


Base

  Sugarcane-based
  Beet-based


Application

  Food & Beverage Industry
  Biofuel Production
  Pharmaceuticals
  Animal Feed
  Chemicals


End-use Industry

  Food Processing
  Beverage Production
  Ethanol Production
  Pharmaceutical & Personal Care
  Chemical Manufacturing


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By Product Insights

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

Raw sugar undergoes a transformation into liquid sugar through the addition of water, resulting in a viscous syrup that offers convenience and versatility for manufacturers. This form of sugar is extensively utilized in various industries, particularly in the production of beverages like carbonated soft drinks, sports drinks, and juices. Its quick and even dissolution properties make it an indispensable ingredient, ensuring consistent product texture and flavor. In the baking sector, liquid sugar is employed for creating cakes, cookies, and pastries. Its stability is a significant advantage, allowing manufacturers to maintain precise control over their products' characteristics. According to recent studies, the adoption of liquid sugar in the food and beverage industry has experienced a notable increase of around 18%, underscoring its growing popularity.

Moreover, advancements in sensor technologies and sugar refining processes have led to improvements in reducing sugars content, resulting in higher sugar purity. Centrifugal separation and byproduct valorization techniques have been instrumental in optimizing sugarcane processing efficiency. Wastewater treatment and polarization degree measurement are essential components of quality control systems, ensuring the production of superior sugar. Data Analytics applications, such as process control algorithms, have enabled predictive modeling and energy efficiency improvements, contributing to the sugar industry's ongoing evolution. Automation technologies and process optimization strategies have also played a crucial role in enhancing productivity and reducing costs. The production of molasses, a byproduct of sugar refining, has gained significant attention due to its potential applications in various industries.

Turbidity measurement and color removal techniques are essential for maintaining the desired clarity in sugarcane juice clarification. Crystallization process advancements, including crystal size distribution and predictive modeling, have led to more

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.

Sugar Index Poised for Volatility, Say Analysts

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

Global sugar manufacturers have endured fluctuations in global sugar prices over the five years to 2024. Nonetheless, global sugar manufacturers' revenue is anticipated to strengthen at a CAGR of 5.6% to $83.2 billion over the five years to 2024, including a drop of 8.5% in 2024. Brazil is very influential in the industry's health. The country produces and exports the most sugar of any nation and is also the second-largest producer of ethanol, which is often produced from sugarcane. As energy prices have strengthened over the past five years, Brazil has expansively diverted more of its sugar stock toward ethanol production. Brazil's changing production and export levels have impacted the world supply of sugar, which, in turn, has disturbed world sugar prices. For example, prior to the current period, in 2011, when Brazil cut its production of sugar by 2.0 million tons, the world price of sugar shot up 25.6%; the following year, as Brazil boosted production by more than 2.0 million tons, the world price of sugar dropped 18.5%. These fluctuations in production, coupled with other countries following Brazil's lead and diverting their sugar stock toward ethanol production or other more valuable crops, have led revenue for the entire industry to endure intense volatility during the current five-year period. Profit, measured as earnings before interest and taxes, inched upward to 6.1% of revenue in 2024. These factors are expected to continue driving volatility in the world price of sugar and global sugar manufacturers' revenue over the five years to 2029. Despite ongoing fluctuations, the world price of sugar will moderately drop as global demand for sugar and sugar-heavy products dips, along with lower energy prices, which will likely prompt demand for alternative fuel sources, like ethanol. Also, as demand from developing nations continues to swell and as trade barriers are expansively removed, global production and international trade of sugar will strengthen. As a result of these factors, global sugar manufacturers' revenue will drop at a CAGR of an estimated 1.2% over the next five years to $78.5 billion in 2029.

Long Term Projections: Sugarcane: Raw Value: Ending Stocks data was reported at 1,806.132 Short Ton th in 2034. This records an increase from the previous number of 1,795.669 Short Ton th for 2033. Long Term Projections: Sugarcane: Raw Value: Ending Stocks data is updated yearly, averaging 1,773.808 Short Ton th from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 2,230.730 Short Ton th in 2023 and a record low of 1,701.138 Short Ton th in 2025. Long Term Projections: Sugarcane: Raw Value: Ending Stocks data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI011: Agricultural Projections: Sugar.

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.

Is the Sugar Index a Sweet Spot for Investors?

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

Dangote Sugar Refinery PLC reported NGN239.32 in PE Price to Earnings for its fiscal quarter ending in September of 2023. Data for Dangote Sugar Refinery PLC | DANGSUGA - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Dangote Sugar Refinery PLC reported NGN151.51B in Stock for its fiscal quarter ending in September of 2024. Data for Dangote Sugar Refinery PLC | DANGSUGA - Stock including historical, tables and charts were last updated by Trading Economics this last September in 2025.

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.

Will the Sugar Index Sweeten Your Portfolio?

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

Graph and download economic data for Intermediate Inputs Share for Manufacturing: Sugar and Confectionery Product Manufacturing (NAICS 3113) in the United States (IPUEN3113P030000000) from 1987 to 2022 about confectionery, sugar, shares, cost, intermediate, purchase, NAICS, IP, production, manufacturing, and USA.

Overview
This study uses a case study approach to demonstrate the potential to estimate farm shares and price spreads in Australia using a relatively simple methodology developed by the United States Department of Agriculture Economic Research Service. In this instance, the methodology has been applied to Australian sugar price data.

Key Points
• The study demonstrates that data is available that allows an analysis of farm share and price spread for raw sugar exports and refined sugar sold at retail outlets. • The analysis shows that trends in farm shares of retail and export prices were relatively flat between 1984-85 and 2014-15. So too were trends in farm-to-retail and farm-to-export price spreads. • If it is assumed that the emergence of market power beyond the farm gate is likely to be reflected in changes in trends in farm share and price spread, then these results suggest that there has been no obvious change in market power within the sugar industry over this period.

The Sugar Processing industry’s recent performance has been marked by record-high domestic production and a shift in import-export dynamics. In fiscal year 2023-24, sugar production soared to peak levels, hitting 9,305,000 tons. This surge was fueled by a combination of improved agricultural practices, favorable harvest conditions and significant consumer demand for sugar-based products. While this booming production has led to a surplus, evidenced by an ending stocks-to-use ratio well above USDA targets, it has also initiated downward pressure on prices, balancing processors' revenue growth with constrained profit margins. Over the five years to 2025, industry revenue expanded at a CAGR of 1.2% to reach an estimated $13.6 billion, including a 0.5% boost in 2025. Over the last five years, the Sugar Processing industry has navigated substantial growth in both production and imports. The industry's reliance on imports peaked in 2020 but stayed relatively high through 2024, bolstered by favorable trade conditions and growing consumer demand. However, these dynamics are shifting as the industry anticipates a sharp drop in imports for the upcoming fiscal year, driven by an increase in domestic production. This decrease in imports will likely offer a revenue boost to processors who rely less on foreign raw sugar, though it may also raise operational challenges for those dependent on imports. Meanwhile, swelling health consciousness among consumers has propelled demand for sugar alternatives, impacting traditional sugar demand and reshaping market structures. Looking ahead, the Sugar Processing industry will face continued challenges from consumer health trends and global market conditions. Industry revenue will inch up at a CAGR of 0.5% over the next five years to reach an anticipated $13.9 billion in 2030. Weight-loss drugs and a growing preference for sugar alternatives are expected to decelerate processors’ revenue growth. Simultaneously, the industry is eyeing new markets through increased exports as domestic production grows, positioning the United States as a burgeoning sugar exporter. Meanwhile, strategic shifts towards renewable energy usage, including harnessing bagasse for biomass power, are anticipated to bolster sustainability and revenue. As sugar processors navigate these dynamic changes, their ability to adapt—whether through innovation in sweetener alternatives or investments in renewable energy—will play a crucial role in their continued profitability and relevance.

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.

Sugar Futures Signal Potential Price Volatility for CRB Commodities Index

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

Dangote Sugar Refinery PLC reported NGN-1.95 in EPS Earnings Per Share for its fiscal quarter ending in March of 2025. Data for Dangote Sugar Refinery PLC | DANGSUGA - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Diluted-Average-Shares Time Series for Uttam Sugar Mills Limited. Uttam Sugar Mills Limited is engaged in the manufacture of Sugar, Industrial Alcohol and Generation of Power under the Uttam brand in India and internationally. It operates through Sugar, Cogeneration, and Distillery segments. The company offers pharma, double refined, planation white, and demerara sugar, as well as invert sugar syrup; and liquid, natural brown, sulphur free and bura, icing, superfine, mishri candi, white sachet, brown, table, brown and white cube, and caster sugar. It also provides industrial alcohol and ethanol; and engages in power generation business. In addition, the company produces carbon dioxide and potash from the ash of incineration boiler. It also serves pharmaceuticals, processed food, beverages, confectionery, diary, bakery, distillery, honey replacement, sauces, breakfast cereals, tobacco, direct consumption, health drinks and health food, powder drinks, hotels, hospitals, and travel and tourism industries. The company was formerly known as Associated Sugar Mills Limited and changed its name to Uttam Sugar Mills Limited in November 1998. Uttam Sugar Mills Limited was founded in 1960 and is based in Noida, India.