Heating Oil fell to 2.29 USD/Gal on August 1, 2025, down 4.50% from the previous day. Over the past month, Heating Oil's price has fallen 4.95%, and is down 1.81% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Heating oil - values, historical data, forecasts and news - updated on August of 2025.

As of the fourth quarter of 2024, oil prices in the United Kingdom stood at 74 dollars per barrel, with prices expected to rise to 76.6 dollars a barrel in early 2025, before gradually falling in subsequent quarters.

Heating oil price in the United States has peaked in winter 2022/23 at 4.31 U.S. dollars per gallon and has decreased ever since. Heating oil is a liquid petroleum product that is, among other things, used in residential buildings as a fuel oil in furnaces or boilers. Chemically, most heating oils are similar to motor diesel fuels and are often sold interchangeably. Forecast heating price in the U.S. The average price of heating oil in the United States in the winter of 2024/25 is expected to reach 3.44 U.S. dollars per gallon. Energy prices are projected to see a decrease this winter, because of increased production of heating fuels. The number of heating degree days, which are the days in which the average temperature is below 18 degrees Celsius (65 degrees Fahrenheit), also helps quantify the energy demand required to heat a building. What determines heating oil price? Generally, heating oil prices are collected during the heating season between October and March. In the U.S., the greatest determining factor for heating oil prices is the WTI crude oil price. Consumers can lower heating oil bills by considering when they purchase, reducing consumption, and through government assistance programs.

Get the latest insights on price movement and trend analysis of Fuel Oil in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

Crude Oil fell to 67.26 USD/Bbl on August 1, 2025, down 2.89% from the previous day. Over the past month, Crude Oil's price has fallen 0.28%, and is down 8.51% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on August of 2025.

Find in-season and off-season pricing for heating fuels, including heating oil, propane and wood price surveys by DOER. Links to electric and natural gas rates also available here.

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 Heating Oil Index a Reliable Indicator of Market Trends?

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

United States EIA Forecast: Retail Price incl Tax: Heating Oil data was reported at 305.688 0.01 USD/gal in Dec 2019. This records an increase from the previous number of 300.541 0.01 USD/gal for Nov 2019. United States EIA Forecast: Retail Price incl Tax: Heating Oil data is updated monthly, averaging 281.432 0.01 USD/gal from Mar 2016 (Median) to Dec 2019, with 46 observations. The data reached an all-time high of 312.013 0.01 USD/gal in Jan 2019 and a record low of 196.745 0.01 USD/gal in Apr 2016. United States EIA Forecast: Retail Price incl Tax: Heating Oil data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s USA – Table US.P003: Energy Price: Forecast: Energy Information Administration.

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The fuel oil market size will decrease by USD 84.77 billion during 2020-2024. This report provides a detailed analysis of the market by application (marine, industrial, and others) and geography (APAC, Europe, MEA, North America, and South America). Also, the report analyzes the market’s competitive landscape and offers information on several market vendors, including BP Plc, Chevron Corp., Exxon Mobil Corp., JXTG Holdings Inc., PJSC LUKOIL, PT Pertamina(Persero), Qatar Petroleum, Reliance Industries Ltd., Royal Dutch Shell Plc, and SK Innovation Co. Ltd.

Market Overview

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Market Competitive Analysis

The fuel oil market is fragmented with numerous vendors that produce and supply fuel oil to customers. Vendors need to make high capital investments to remain competitive in the market. BP Plc, Chevron Corp., and Exxon Mobil Corp. are some of the major market participants. Although the rise in world energy demand will offer immense growth opportunities, the fluctuations in crude oil prices will challenge the growth of the market participants. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

To help clients improve their market position, this fuel oil market forecast report provides a detailed analysis of the market leaders and offers information on the competencies and capacities of these companies. The report also covers details on the market’s competitive landscape and offers information on the products offered by various companies. Moreover, this fuel oil market analysis report also provides information on the upcoming trends and challenges that will influence market growth. This will help companies create strategies to make the most of future growth opportunities.

This report provides information on the production, sustainability, and prospects of several leading companies, including:

• BP Plc
• Chevron Corp.
• Exxon Mobil Corp.
• JXTG Holdings Inc.
• PJSC LUKOIL
• PT Pertamina(Persero)
• Qatar Petroleum
• Reliance Industries Ltd.
• Royal Dutch Shell Plc
• SK Innovation Co. Ltd.

Fuel Oil Market: Segmentation by Application

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The primary requirement of any marine engine is to propel the ship or generate onsite power by using the energy obtained from burning fuel oil. The mega marine engines of ships burn tons of fuel every day to propel the massively loaded ships. The rise in demand for bunker fuel oil due to the growing seaborne trade and growing naval activities will drive the demand for fuel oil for marine.

However, market growth in this segment will be slower than the growth of the market in the industrial and other segments. This report provides an accurate prediction of the contribution of all the segments to the growth of the fuel oil market size.

Fuel Oil Market: Segmentation by Geography

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The heating oil market, while facing challenges, presents a robust investment opportunity. Driven by consistent demand in colder climates and a growing preference for reliable and efficient home heating solutions, the market exhibits a stable trajectory. Although the exact market size is not provided, a reasonable estimation considering similar markets and reported CAGRs (assuming a CAGR of 3-5% based on industry trends) would place the 2025 market value at approximately $5 billion USD, with projections suggesting continued growth through 2033. Key market drivers include the ongoing need for reliable home heating, particularly in regions with harsh winters, and the availability of advanced heating oil technologies that improve efficiency and reduce emissions. However, restraints such as environmental regulations promoting cleaner energy sources, fluctuating crude oil prices, and increasing competition from alternative heating solutions like natural gas and heat pumps, pose challenges to sustained rapid growth. Market segmentation is likely to include residential, commercial, and industrial sectors, each with its own unique growth drivers and challenges. The leading companies mentioned (Tevis Energy, Certas Energy, Crown Oil, etc.) are likely competing primarily on pricing, service quality, and efficient supply chain management. The forecast period of 2025-2033 will likely see a shift toward more sustainable heating oil practices and a greater focus on blending and the development of biofuels. Furthermore, regional variations will be significant; regions with colder climates and limited access to natural gas will continue to exhibit stronger demand than those with milder winters and readily available alternatives. Companies that effectively adapt to environmental regulations, enhance supply chain resilience, and invest in advanced technologies will be best positioned for success. A thorough understanding of the evolving regulatory landscape and consumer preferences will be critical for market players looking to secure a leading position. Strategic partnerships and mergers and acquisitions are anticipated in this dynamic market.

United States EIA Forecast: Refiner Price: Resale: Heating Oil data was reported at 211.592 0.01 USD/gal in Dec 2019. This records an increase from the previous number of 208.432 0.01 USD/gal for Nov 2019. United States EIA Forecast: Refiner Price: Resale: Heating Oil data is updated monthly, averaging 189.427 0.01 USD/gal from Mar 2016 (Median) to Dec 2019, with 46 observations. The data reached an all-time high of 214.758 0.01 USD/gal in Sep 2018 and a record low of 106.399 0.01 USD/gal in Mar 2016. United States EIA Forecast: Refiner Price: Resale: Heating Oil data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s USA – Table US.P003: Energy Price: Forecast: Energy Information Administration.

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.

Heating Oil Index Forecast: Slight Uptick Predicted

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

On July 28, 2025, the Brent crude oil price stood at 69.68 U.S. dollars per barrel, compared to 66.71 U.S. dollars for WTI oil and 70.98 U.S. dollars for the OPEC basket. Brent and OPEC prices rose slightly that week, while WTI prices fell.Europe's Brent crude oil, the U.S. WTI crude oil, and OPEC's basket are three of the most important benchmarks used by traders as reference for oil and gasoline prices. Lowest ever oil prices during coronavirus pandemic In 2020, the coronavirus pandemic resulted in crude oil prices hitting a major slump as oil demand drastically declined following lockdowns and travel restrictions. Initial outlooks and uncertainty surrounding the course of the pandemic brought about a disagreement between two of the largest oil producers, Russia and Saudi Arabia, in early March. Bilateral talks between global oil producers ended in agreement on April 13th, with promises to cut petroleum output and hopes rising that these might help stabilize the oil price in the coming weeks. However, with storage facilities and oil tankers quickly filling up, fears grew over where to store excess oil, leading to benchmark prices seeing record negative prices between April 20 and April 22, 2020. How crude oil prices are determined As with most commodities, crude oil prices are impacted by supply and demand, as well as inventories and market sentiment. However, as oil is most often traded in future contracts (where a contract is agreed upon while product delivery will follow in the next two to three months), market speculation is one of the principal determinants for oil prices. Traders make conclusions on how production output and consumer demand will likely develop over the coming months, leaving room for uncertainty. Spot prices differ from futures in so far as they reflect the current market price of a commodity.

Brent fell to 69.48 USD/Bbl on August 1, 2025, down 3.10% from the previous day. Over the past month, Brent's price has risen 0.54%, but it is still 9.54% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on August of 2025.

This dataset provides values for HEATING OIL reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Heating Oil Stocks in the United States increased to 739 Thousand Barrels in July 25 from 3 Thousand Barrels in the previous week. This dataset provides - United States Heating Oil Stocks - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Heating Oil TR/CC CRB Forecast Predicts Volatile Trading for Coming Months

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 Heating Oil Additives market size is expected to reach $8.53 billion by 2029 at 6.7%, soaring automobile manufacturing fuels expansion in the heating oil additives market

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.

Heating Oil TR/CC CRB Spot Market Signals Potential Price Volatility.

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

Avg Retail Price: Heating Fuel: Nova Scotia: Halifax data was reported at 166.100 0.01 CAD/l in Mar 2025. This records a decrease from the previous number of 172.800 0.01 CAD/l for Feb 2025. Avg Retail Price: Heating Fuel: Nova Scotia: Halifax data is updated monthly, averaging 81.600 0.01 CAD/l from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 226.700 0.01 CAD/l in Nov 2022 and a record low of 29.600 0.01 CAD/l in Jan 1990. Avg Retail Price: Heating Fuel: Nova Scotia: Halifax data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.P015: Fuel Oil Price at Self Service Filling Stations. [COVID-19-IMPACT]