Natural gas fell to 3.01 USD/MMBtu on July 31, 2025, down 1.25% from the previous day. Over the past month, Natural gas's price has fallen 11.95%, but it is still 52.78% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on July of 2025.

The annual average Henry Hub price declined to *** U.S. dollars per million British thermal unit in 2024. According to a forecast released in February 2025, Henry Hub natural gas prices will more than double by 2026 amid greater demand forecast.

TTF Gas rose to 35.31 EUR/MWh on July 31, 2025, up 0.84% from the previous day. Over the past month, TTF Gas's price has risen 4.18%, but it is still 4.49% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. EU Natural Gas TTF - values, historical data, forecasts and news - updated on July of 2025.

United States EIA Forecast: Natural Gas Price: Retail: Commercial Sector data was reported at 7.865 USD/1000 Cub ft in Dec 2019. This records a decrease from the previous number of 7.929 USD/1000 Cub ft for Nov 2019. United States EIA Forecast: Natural Gas Price: Retail: Commercial Sector data is updated monthly, averaging 8.022 USD/1000 Cub ft from Mar 2016 (Median) to Dec 2019, with 46 observations. The data reached an all-time high of 8.726 USD/1000 Cub ft in Aug 2017 and a record low of 6.991 USD/1000 Cub ft in Apr 2016. United States EIA Forecast: Natural Gas Price: Retail: Commercial Sector 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.

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

This statistic shows the price of natural gas in the United States from 1980 to 2015, and provides projections until the year 2025. In 2017, U.S. natural gas is expected to cost approximately **** real 2010 U.S. dollars per million British thermal units.

Natural gas account for 1/4 of the global demand and roughly 1/3 of the US energy demand. After oil, Natural gas is the most dominate sort of energy. So, being about to improve natural gas demand prediction is extremely valuable.

Therefore, this project aims to predict the demand of Natural Gas in the US by combining a wide range of datasets including the time series of major Natural Gas Prices including US Henry Hub. Data comes from U.S. Energy Information Administration. Need to forecast the price of natural gas based on the historical data.

Data

Dataset contains Daily prices of Natural gas, starting from January 1997 to current year. Prices are in nominal dollars.

In the fourth quarter of 2023, the price of liquefied natural gas in India reached 589 USD/MT by December. Similarly, in Germany, the liquefied natural gas prices hit 654 USD/MT during the same month in 2023.

United States EIA Forecast: Natural Gas Price: Henry Hub Spot (Mn Btu) data was reported at 3.041 USD/MN BTU in Dec 2019. This records an increase from the previous number of 2.952 USD/MN BTU for Nov 2019. United States EIA Forecast: Natural Gas Price: Henry Hub Spot (Mn Btu) data is updated monthly, averaging 2.954 USD/MN BTU from Mar 2016 (Median) to Dec 2019, with 46 observations. The data reached an all-time high of 3.600 USD/MN BTU in Jan 2017 and a record low of 1.766 USD/MN BTU in Apr 2016. United States EIA Forecast: Natural Gas Price: Henry Hub Spot (Mn Btu) data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s United States – Table US.P003: Energy Price: Forecast: Energy Information Administration.

UK Gas rose to 86.59 GBp/thm on July 31, 2025, up 0.30% from the previous day. Over the past month, UK Gas's price has risen 9.02%, but it is still 3.95% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. UK Natural Gas - values, historical data, forecasts and news - updated on August of 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.

Is Natural Gas the Future?

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.

Will the Natural Gas Futures x3 Short Leveraged Index Ignite a Price Drop?

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 statistic gives projections of the cost for coal and natural gas between 2016 and 2050. It is predicted that in 2020, natural gas cost will 6.69 U.S. dollars per million British thermal units compared with 6.13 for metallurgical coal.

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.

Natural Gas Futures Short Leveraged Index Forecast

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

Natural gas prices decreased across all major regions in 2024, as supply caught up to higher demand. In Japan, LNG sold for an average of **** nominal U.S. dollars per million British thermal units. Meanwhile, the United States, as the largest natural gas producer worldwide, has significantly lower prices for the fossil fuel. The U.S. has had lower natural gas prices than Europe for much of the past four decades. LNG on the rise LNG is expected to shape much of future natural gas trade. Although pipelines have been the preferred method of transportation for many decades, as Europe shifts away from Russia as its main gas supplier, LNG has become more in demand. The global LNG trade volume has already exceeded *** billion cubic meters per year, and is expected to continue growing. Countries in Asia have some of the highest landed prices for liquefied natural gas worldwide. Natural gas benchmarks Some of the most closely followed natural gas price benchmarks are the U.S. Henry Hub and the Dutch TTF. The former is an important indicator of the state of the natural gas industry in the U.S., while the latter reflects natural gas market developments in Europe and potential repercussions for consumers.

During the first quarter of 2025 and into mid-April, U.S. natural gas prices exhibited a mixed trend driven by fluctuating weather patterns, shifting supply dynamics, and varied demand across sectors. In January, prices initially declined as above-average temperatures across key regions limited heating demand, but brief cold snaps later in the month sparked temporary rebounds. February saw modest price recoveries fueled by increased residential consumption during colder spells and a slight dip in production due to freeze-offs in certain basins.

Why did the Natural Gas Price Change in July 2025? Natural Gas Price Index averaged USD 3696/1000 mmBtu, Ex-Louisiana, down 7% from Q1 2025, and featuring a mixed pattern of early weakness followed by a late-quarter recovery.

The price of gas in the United Kingdom was *** British pence per therm in the fourth quarter of 2024. It is anticipated gas prices will increase to *** pence in the second quarter of 2025 before gradually falling to just under ** pence by the second quarter of 2027.
Surging energy costs and the cost of living crisis At the height of the UK's cost of living crisis in 2022, approximately ** percent of UK households were experiencing rising prices compared with the previous month. It was during 2022 that the UK's CPI inflation rate reached a peak of **** percent, in October of that year. Food and energy, in particular, were the main drivers of inflation during this period, with energy inflation reaching **** percent, and food prices increasing by **** percent at the height of the crisis. Although prices fell to more expected levels by 2024, an uptick in inflation is forecast for 2025, with prices rising by *** percent in the third quarter of the year. Global Inflation Crisis The UK was not alone in suffering rapid inflation during this time period, with several countries across the world experiencing an inflation crisis. The roots of the crisis began as the global economy gradually emerged from the COVID-19 pandemic in 2021. Blocked-up supply chains, struggled to recover as quickly as consumer demand, with food and energy prices also facing upward pressure. Russia's invasion of Ukraine in February 2022 led to Europe gradually weening itself of cheap Russian energy exports, while for several months Ukraine struggled to export crucial food supplies to the rest of the World.

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

The report covers US Natural Gas Demand and it is segmented by Type (Wet Natural Gas and Dry Natural Gas) and End Use (Power Generation, Automotive, Residential, and Industries). The report offers the natural gas consumption and forecasts in units (billion cubic meters) for all the above segments.