Natural gas fell to 2.97 USD/MMBtu on September 1, 2025, down 0.76% from the previous day. Over the past month, Natural gas's price has risen 1.44%, and is up 36.86% compared to the same time last year, 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 September of 2025.

This statistic shows the stock prices of selected oil and gas commodities from January 2, 2020 to February 4, 2025. After the Russian invasion of Ukraine in February 2022, energy prices climbed significantly. The highest increase can be observed for natural gas, whose price peaked in August and September 2022. By the beginning of 2023, natural gas price started to decline.

Northwest Natural Gas stock price, live market quote, shares value, historical data, intraday chart, earnings per share 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.

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

In 2024, the price of natural gas in Europe reached 11 constant U.S. dollars per million British thermal units, compared with 2.2 U.S. dollars in the U.S. This was a notable decrease compared to the previous year, which had seen a steep increase in prices due to an energy supply shortage exacerbated by the Russia-Ukraine war. Since 1980, natural gas prices have typically been higher in Europe than in the United States and are expected to remain so for the coming two years. This is due to the U.S. being a significantly larger natural gas producer than Europe. What is natural gas and why is it gaining ground in the energy market? Natural gas is commonly burned in power plants with combustion turbines that generate electricity or used as a heating fuel. Given the fact that the world’s energy demand continues to grow, natural gas was seen by some industry leaders as an acceptable "bridge-fuel" to overcome the use of more emission-intensive energy sources such as coal. Subsequently, natural gas has become the main fuel for electricity generation in the U.S., while the global gas power generation share has reached over 22 percent. How domestic production shapes U.S. natural gas prices The combination of hydraulic fracturing (“fracking”) and horizontal drilling can be regarded as one of the oil and gas industry’s biggest breakthroughs in decades, with the U.S. being the largest beneficiary. This technology has helped the industry release unprecedented quantities of gas from deposits, mainly shale and tar sands that were previously thought either inaccessible or uneconomic. It is forecast that U.S. shale gas production could reach 36 trillion cubic feet in 2050, up from 1.77 trillion cubic feet in 2000.

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

TTF Gas rose to 32.35 EUR/MWh on September 1, 2025, up 2.31% from the previous day. Over the past month, TTF Gas's price has fallen 5.64%, and is down 16.08% compared to the same time last year, 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 September of 2025.

The global natural gas price index stood at 185.99 index points in July 2025. Natural gas prices decreased that month as cooling demand fell due to colder weather than expected. The global price index takes into account indices from Europe, Japan, and the United States – some of the largest natural gas trading markets. The U.S. is the leading natural gas exporter in the world. Means of trading natural gas Liquefied natural gas (LNG) is the most common form of trading natural gas. Although piped gas is often the preferred choice for transportation between neighboring producing and consuming countries, seaborne trade as LNG has grown in market volume. This is in part thanks to high consumption in pipeline-inaccessible areas such as Japan, Korea, and China, as well as the recent increase in LNG trade by European countries. Major natural gas price benchmarks The natural gas prices often used as global benchmarks are Europe’s Dutch TTF traded on the Intercontinental Exchange, Indonesian LNG in Japan, and the U.S. Henry Hub traded on the New York Mercantile Exchange. 2022 was an especially volatile year for natural gas prices, as supply was severely constrained following sanctions on Russian imports. Other reasons for recent spikes in gas prices are related to issues at refineries, changes in demand, and problems along seaborne supply routes.

UK Gas rose to 78.56 GBp/thm on September 1, 2025, up 0.94% from the previous day. Over the past month, UK Gas's price has fallen 7.13%, and is down 15.30% compared to the same time last year, 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 September of 2025.

Oil & Natural Gas Corporation stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Working gas held in storage facilities in the United States increased by 18 billion cubic feet in the week ending August 22 of 2025 . This dataset provides the latest reported value for - United States Natural Gas Stocks Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus 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.

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

The size of the US Natural Gas Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 5.00">> 5.00% during the forecast period. The natural gas market in the United States is a crucial component of the nation's energy landscape, involving the production, transportation, and utilization of natural gas, which is essential for electricity generation, heating, and various industrial applications. This market is notably influenced by the significant development of domestic shale gas resources, particularly from regions such as the Marcellus and Permian basins, which have greatly increased production levels in the U.S. As a result, the country has emerged as one of the foremost producers and exporters of natural gas globally. The market is supported by a comprehensive infrastructure, featuring an extensive network of pipelines, storage facilities, and liquefied natural gas (LNG) export terminals that enable effective distribution and international trade. The growth of natural gas usage has been propelled by its comparatively lower carbon emissions relative to coal and oil, aligning with environmental standards and sustainability objectives. Nevertheless, the market encounters challenges, including price fluctuations, changes in regulations, and environmental issues associated with hydraulic fracturing and methane emissions. In spite of these obstacles, the U.S. natural gas market continues to thrive, with ongoing investments in infrastructure and technology focused on improving efficiency and minimizing environmental effects. Ultimately, this market is vital to the nation's energy framework, enhancing energy security and fostering economic development. Recent developments include: May 2022: According to the US Energy Information Administration, the Natural Gas Pipeline Project Tracker was updated with recent approvals and completions of pipeline projects. As of the end of the first quarter of 2022, the Federal Energy Regulatory Commission (FERC) approved three projects to increase the export of US natural gas by pipeline and LNG. FERC approved two projects connecting LNG terminals in Louisiana. The Evangeline Pass Expansion Project, owned by Tennessee Gas Pipeline Company, is 1.1 billion cubic feet in size. It is intended that the proposed Plaquemines LNG Project in Plaquemines Parish, Louisiana, be supplied with natural gas by constructing 13.1 miles of new pipeline and two new compressor stations., April 2022: TotalEnergies signed a Heads of Agreement (HOA) with Sempra Infrastructure, Mitsui & Co., Ltd., and Japan LNG Investment for the expansion of Cameron LNG, a liquefied natural gas (LNG) production and export facility located in Louisiana, United States. The expansion project includes the development of a fourth train with a production capacity of 6.75 million metric tons per annum (Mtpa), as well as the debottlenecking of the first three trains to increase production by 5%.. Key drivers for this market are: Increasing Global Demand for Refined Petroleum Products4., Economic Growth and Industrialization. Potential restraints include: Environmental Concerns and Regulations. Notable trends are: Power Generation Segment to Dominate the Market.

This Alberta Official Statistic describes the Alberta Natural Gas Reference Price as an average Alberta gas plant price calculated using the purchase prices at the Alberta Market Hub on the Natural Gas Exchange (NGX). This price is used in the calculation of royalties. The Natural Gas Reference Price has been the primary source of valuing Alberta Crown gas royalties since January 1994. In October 2002, the Gas Reference Price was replaced by In-Stream Component (ISC) Reference Prices as the primary method of valuing the Crown’s share of natural gas. The Gas Reference Price is still used to calculate the ISC Reference Prices and as a default royalty value.

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.

Cheniere Energy Partners (CQP) Stock: A Liquefied Natural Gas (LNG) Powerhouse in the Making

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 oil and natural gas price index is calculated using price data from both resources, weighted according to their share of energy consumption in the United States. The year 1982 is used as the base year for this index. Data sources include the International Monetary Fund and the 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.

Will the Natural Gas Index Short Leveraged Play Pay Off?

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

According to Cognitive Market Research, the global Natural Gas Liquids market size will be USD 17542.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.60% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 7016.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 5262.66 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 4034.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.6% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 877.11 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 350.84 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.3% from 2024 to 2031.
The ethane category is the fastest growing segment of the Natural Gas Liquids industry

Market Dynamics of Natural Gas Liquids Market

Key Drivers for Natural Gas Liquids Market

Increasing Petrochemical Industry to Boost Market Growth

The market for natural gas liquids (NGL) is mostly driven by the expanding petrochemical sector. Natural gas liquids (NGLs) like ethane, propane, and butane are vital raw materials for the synthesis of petrochemicals like ethylene and propylene, which are extensively utilized in the creation of synthetic materials, chemicals, and plastics. The need for NGLs is rising due to the petrochemical industry's explosive growth, particularly in North America and Asia. The utilization of NGLs in a variety of applications is growing as a result of growing industrialization and technological developments in chemical processing. The global need for consumer goods, packaging, and industrial materials is driving the petrochemical industry's growth, which in turn will fuel the NGL market's long-term growth.

The Surge in Shale Gas Production to Drive Market Growth

The market for natural gas liquids (NGL) is growing as a result of increased shale gas output. Production of NGLs, including ethane, propane, and butane, has expanded because of the spike in shale gas extraction, especially in North America, through horizontal drilling and hydraulic fracturing technology. These liquids are frequently left over after natural gas from shale formations is extracted. In order to fulfill growing global demand, the U.S. shale boom has improved export prospects and supported local NGL supplies. The supply of NGLs is directly increased by the ongoing expansion of shale gas production, which fosters the long-term growth of the NGL market by meeting the increasing demand from sectors such as transportation, energy, and petrochemicals.

Restraint Factor for the Natural Gas Liquids Market

Price Volatility for Crude Oil Will Limit Market Growth

The volatility of crude oil prices severely constrains

The natural gas liquids (NGL) market. Because NGLs are frequently extracted in conjunction with crude oil and natural gas, changes in oil prices have an immediate effect on how profitable it is to produce NGLs. Oil and gas companies may cut back on drilling when crude oil prices drop, which lowers the output of NGLs. Furthermore, a decline in oil prices may increase the appeal of alternative energy sources, which would lessen the market for NGLs. On the other hand, sudden spikes in oil prices can cause market instability and increase the operational expenses for NGL producers. It is difficult for NGL market participants to sustain consistent growth because of this price volatility, which also makes long-term planning more difficult and causes investor concern.

Impact of Covid-19 on the Natural Gas Liquids Market

The COVID-19 pandemic had a substantial effect on the natural gas liquids (NGL) market because it caused supply chain disruptions on a worldwide scale, decreased energy consumption, and a steep reduction in industrial activity. Lockdowns and limitations reduced the demand for NGLs, especially in the transportation and petrochemical sectors, which are big users of butane, propane, and ethane. The demand for NGLs as alter...

The average gas price in Great Britain in June 2025 was 86.28 British pence per therm. This was four pence higher than the same month the year prior and follows a trend of increasing gas prices. Energy prices in the UK Energy prices in the UK have been exceptionally volatile throughout the 2020s. Multiple factors, such as a lack of gas storage availability and the large share of gas in heating, have exacerbated the supply issue in the UK that followed the Russia-Ukraine war. This has also led to many smaller suppliers announcing bankruptcy, while an upped price cap threatened the energy security of numerous households. The United Kingdom has some of the highest household electricity prices worldwide. How is gas used in the UK? According to a 2023 survey conducted by the UK Department for Energy Security and Net Zero, 58 percent of respondents used gas as a heating method during the winter months. On average, household expenditure on energy from gas in the UK stood at some 24.9 billion British pounds in 2023, double the amount spent just two years prior.

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.

The Decline of U.S. Natural Gas Exports: What Does It Mean for the World?

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