Heating Oil rose to 2.42 USD/Gal on July 31, 2025, up 0.38% from the previous day. Over the past month, Heating Oil's price has risen 3.79%, and is up 0.23% 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 July of 2025.

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).

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.

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

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.

Get key insights from Market Research Intellect's Home Heating Oil Market Report, valued at USD 23.5 billion in 2024, and forecast to grow to USD 30.2 billion by 2033, with a CAGR of 4.2% (2026-2033).

Crude Oil rose to 70.07 USD/Bbl on July 31, 2025, up 0.09% from the previous day. Over the past month, Crude Oil's price has risen 7.05%, but it is still 8.18% lower than a year ago, 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 July of 2025.

The size of the Fuel Oil Market was valued at USD XX Million in 2024 and is projected to reach USD XXX Million by 2033, with an expected CAGR of XX% during the forecast period.Fuel oil is a liquid product derived from distillation of crude oil. It consists of an intricate mixture of hydrocarbons which mainly includes alkanes, cycloalkanes, and aromatics. Fuels are divided into several classes depending on the range of distillation and viscosity at which they exist. Heavier fuels contain larger hydrocarbon molecules.Fuel oils are extensively used in a number of industries. It is the primary fuel used in large industrial boilers and furnaces to generate power in the industrial sector. It is also used in various industrial processes, such as heating, manufacturing, and transportation. In the marine industry, fuel oil, especially heavy fuel oil (HFO), is a common fuel for large ships and vessels. Fuel oil can also be used in domestic heating, although its application in this area has decreased in many regions due to environmental issues and other available fuels.Fuel oil market drivers include worldwide oil prices, economic development, environmental policies and regulations, as well as alternative fuel source development.

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

Graph and download economic data for No. 2 Heating Oil Prices: New York Harbor (DHOILNYH) from 1986-06-02 to 2025-07-21 about new york harbor, heating, New York, oil, commodities, and USA.

Heating Oil Stocks in the United States increased to 3 Thousand Barrels in July 18 from -846 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.

Average price of heating oil in Great Britain presented a trend of growth, despite some oscillation. Between 2000 and 2020, figures more than doubled, with an increase of ***** euros per thousand liters and peaked at ***** euros per thousand liters in 2012. By 2020, the average price of heating oil in Great Britain amounted to ***** euros per thousand liters.

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

Extra Light Heating Oil Market Outlook

The global market size for Extra Light Heating Oil (ELHO) was valued at approximately USD 20 billion in 2023 and is projected to reach around USD 28 billion by 2032, reflecting a Compound Annual Growth Rate (CAGR) of 3.8% during the forecast period. A key driver for this growth is the rising demand for efficient and cleaner heating solutions in residential and commercial sectors, coupled with advancements in fuel technology and stricter environmental regulations.

One of the significant growth factors for the Extra Light Heating Oil market is the increasing focus on energy efficiency and reduced emissions. Governments and environmental agencies worldwide are imposing stringent regulations to curb carbon emissions, which is pushing consumers towards cleaner and more efficient heating solutions. ELHO, being a lower sulfur content fuel, is seen as a viable alternative to heavier oils and coal, which are notorious for their high emissions. Additionally, innovations in refining processes are improving the quality of ELHO, making it an even more attractive option for various applications.

Another crucial factor is the rising demand from the residential sector, particularly in colder climates where heating is essential. Consumers are increasingly opting for ELHO due to its cost-effectiveness compared to electric heating and its relatively lower environmental impact. The convenience of modern heating systems that use ELHO, combined with their efficiency, makes them a popular choice for homeowners. Moreover, the volatility in electricity prices is also driving consumers to seek more stable and reliable heating options, further propelling the demand for ELHO.

The commercial and industrial sectors are also contributing to the growth of the ELHO market. These sectors require large volumes of heating oil for various processes and operations, and the efficiency and environmental benefits of ELHO are making it a preferred choice. Industries such as manufacturing, warehousing, and hospitality rely heavily on heating solutions, and the shift towards more sustainable options is boosting the demand for ELHO. Furthermore, the development of advanced heating technologies that are compatible with ELHO is enhancing its adoption in these sectors.

In the context of maintaining the quality and efficiency of Extra Light Heating Oil, the role of a Fuel Oil Ageing Bath becomes crucial. This specialized equipment is used to simulate the ageing process of fuel oils under controlled conditions, providing valuable insights into their long-term stability and performance. By understanding how ELHO behaves over time, manufacturers can enhance refining processes and develop additives that prolong the fuel's shelf life and maintain its combustion efficiency. This is particularly important for large-scale consumers in the commercial and industrial sectors, where consistent fuel quality is essential for operational efficiency.

Regionally, Europe is the largest market for ELHO due to its cold climate and the stringent environmental regulations in place. The region is focused on reducing its carbon footprint and is thus investing heavily in cleaner heating solutions. North America is also a significant market, driven by the demand for efficient heating in residential and commercial buildings. The Asia Pacific region is emerging as a potential market, with growing industrialization and urbanization driving the need for reliable heating solutions. Latin America and the Middle East & Africa are smaller markets but are expected to see steady growth due to their developing economies and increasing focus on energy efficiency.

Type Analysis

The Extra Light Heating Oil market can be segmented by type into Kerosene, Diesel, Biofuels, and Others. Kerosene is a widely used type of ELHO due to its high heat output and relatively lower cost. It is particularly popular in residential heating applications, where it is used in furnaces and space heaters. The efficiency of kerosene as a heating fuel and its easy availability make it a preferred choice for many consumers. However, the environmental impact of kerosene is a concern, and this is leading to a gradual shift towards cleaner alternatives.

Diesel, another popular type of ELHO, is extensively used in both r

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 Index Anticipates Seasonal 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

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.

DJ Commodity Heating Oil index: Analysts Predict Moderate Price Fluctuations

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.