Propane fell to 0.70 USD/Gal on August 1, 2025, down 2.49% from the previous day. Over the past month, Propane's price has fallen 3.32%, and is down 3.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Propane - values, historical data, forecasts and news - updated on August of 2025.

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US Propane Market Size 2025-2029

The US propane market size is forecast to increase by USD 8.42 billion at a CAGR of 6.6% between 2024 and 2029.

The Propane market in the US is experiencing significant growth, driven by advancements in propane storage and transportation technologies. These innovations have increased the efficiency and safety of propane handling, making it an attractive alternative fuel for various industries, including residential, commercial, and industrial sectors. Furthermore, the development of renewable propane, derived from natural gas processing and biomass, is expanding the market's reach and reducing its carbon footprint. However, the market's growth is not without challenges. Competitive alternative fuels, such as natural gas and electricity, are gaining popularity due to their lower carbon emissions and increasing affordability. To capitalize on market opportunities and navigate these challenges effectively, companies must focus on improving propane's competitiveness through cost reduction, efficiency gains, and the adoption of cleaner production methods.
Additionally, collaboration with government agencies and industry associations to promote the use of propane as a clean and efficient fuel source can help mitigate competition and strengthen the market's strategic landscape.

What will be the size of the US Propane Market during the forecast period?

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The propane market in the US continues to evolve, driven by various factors including propane technology advancements, alternative fuel infrastructure development, and grid modernization projects. Propane's versatility as an energy source, coupled with its environmental sustainability initiatives such as emission reduction and renewable energy integration, positions it as a key player in the energy transition. Propane's adoption is further boosted by smart grid deployment and energy efficiency standards, as well as the increasing focus on energy security policies and sustainable development goals. Propane's competition with natural gas and the emergence of alternative fuels like hydrogen and biodiesel, as well as electric vehicle infrastructure, necessitate continuous innovation and cost savings through propane efficiency improvements, system maintenance, and demand forecasting.
Propane's role in clean energy investments, carbon offsetting programs, and carbon capture technologies also contribute to its market outlook. Propane's price volatility, safety training, and delivery logistics remain critical areas of focus, while regulations compliance and appliance repair are essential for maintaining consumer trust and market growth. Overall, the propane market's future direction is influenced by the interplay of these factors and the evolving energy landscape.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Industrial
  Commercial
  Residential
  Others


Grade Type

  HD-5 propane
  HD-10 propane
  Commercial propane


Type

  Gas
  Liquid


Application

  Heating
  Cooking
  Power Generation
  Motor Fuel
  Industrial Processes
  Others


Geography

  US

By End-user Insights

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

Propane, a versatile energy source, plays a significant role in various industries and applications in the US. Its demand is influenced by economic activity, particularly in manufacturing and construction sectors, where propane is used for heating, processing, and other applications. Cold weather increases the demand for propane in industries such as agriculture, food processing, and construction, which rely on it for heating and drying. Seasonal fluctuations in weather patterns also impact short-term demand. Propane competes with other energy sources, including natural gas, electricity, and heating oil. The relative cost of propane versus these alternatives influences demand.

Propane is also used in various applications, such as forklifts, buses, generators, cooking, and heating, offering energy security and independence. Propane innovation continues to drive the market, with advancements in green technology, energy storage, carbon capture, and renewable fuels. Sustainable development and environmental sustainability are key considerations, with regulations focusing on reducing greenhouse gas emissions and improving energy efficiency. The market also includes propane retailers, suppliers, and distributors, offering various services such as fueling, delivery, and conversion. The industrial sector's demand for propane is expected to remain strong, driven by its versatility, efficiency, and competitiveness.

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

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.

Energy Transfer LP Common Units (ET): Where's the Juice Going?

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

Vinyl Records Market size was valued at USD 2177.97 Million in 2024 and is projected to reach USD 4524.65 Million by 2031, growing at a CAGR of 9.57% from 2024 to 2031.

Global Vinyl Records Market Definition

Vinyl records are physical music recordings that consist of grooves on a disc made of polyvinyl chloride (PVC). The grooves are read by a turntable stylus, which translates the physical sound waves into an electrical signal that is then amplified and played back through speakers. The vinyl record is a medium that has been used for music distribution since the early 20th century, and it was the primary format for music until the advent of the compact disc (CD) in the 1980s.

Vinyl records have several unique features that have contributed to their enduring appeal among music enthusiasts. One of the most distinctive characteristics of vinyl records is their analog sound quality. Analog sound recordings are created by directly capturing the physical sound waves produced by musical instruments and vocals. In contrast, digital recordings capture a series of snapshots of the sound waves at discrete intervals. Analog sound is perceived to have a warmer, more natural sound than digital sound, which is why many audiophiles prefer vinyl records.

Another unique feature of vinyl records is the artwork and packaging that accompanies them. Vinyl records are often sold in large-format jackets or sleeves, which provide space for artwork, liner notes, and other promotional materials. These elements are often integral to the overall aesthetic of the record and can enhance the listener's experience of the music. Vinyl records cover a wide range of musical genres, including rock, pop, jazz, classical, hip-hop, electronic, folk, country, and more. Different genres may have varying levels of demand in the vinyl records market, depending on consumer preferences and trends. For example, classic rock and jazz are popular genres among vinyl record collectors, while electronic and hip-hop genres have also gained traction in recent years.

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.

SPH Suburban Propane Partners L.P. Common Stock

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

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.

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

Why did the Poly Vinyl Chloride Price Change in July 2025? Poly Vinyl Chloride (PVC) Price Index in North America declined gradually through Q2 2025, reflecting subdued global demand and elevated inventory levels.

When compared to Q4 2024, Vinyl Ester Resin prices in North American region recorded a quarter-on-quarter decline in Q1 2025. At the start of the quarter, prices rose as upstream epoxy resin costs climbed on firmer benzene fundamentals. Domestic supply tightened due to maintenance at key resin plants, while federal infrastructure and automotive projects supported construction and OEM demand. Mid-quarter, pricing pressures eased as crude-linked feedstocks softened and import volumes resumed.

Forecast: Vinyl Esters Polymers or Other Vinyl Polymers Market Size Volume in Germany 2024 - 2028 Discover more data with ReportLinker!

Forecast: Vinyl Acetate Polymers in Aqueous Dispersion Market Size Volume in the UK 2022 - 2026 Discover more data with ReportLinker!

Forecast: Vinyl Esters Polymers or Other Vinyl Polymers Market Size Volume in Italy 2023 - 2027 Discover more data with ReportLinker!

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.

GLP Global Partners LP Global Partners LP Common Units representing Limited Partner Interests

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

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

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.

NRP Natural Resource Partners LP Limited Partnership

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.

CQP Cheniere Energy Partners LP Cheniere Energy Partners LP Common Units

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

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

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.

GPP Green Plains Partners LP Common Units

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 Vinyl Flooring Market in Saudi Arabia market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 5.02% during the forecast period. Vinyl flooring has gained popularity in Saudi Arabia because long-term durability and affordability go hand-in-hand, and offers so much in terms of versatility. It is a synthetic material that is made primarily of polyvinyl chloride, or PVC; it is highly resistant to water, stains, and scratches. Vinyl flooring also comes in a wide variety of styles and designs to mimic all of the looks that come in the forms of wood, stone, and ceramic tiles. It is easy to install and requires low maintenance and, hence, is easily deployed in residential and commercial sectors. Vinyl is used in houses, offices, shopping malls, hotels, and healthcare in Saudi Arabia, which serves as a contributory factor in the country's overall growth of the flooring market. Recent developments include: In 2023: Tarkett, a worldwide leader in innovative and sustainable flooring solutions, has announced a new distribution partnership with Midwest Floor Coverings, Inc. The agreement expands Tarkett's distribution network, enhancing the company's ability to effectively respond to the needs of commercial customers in these key geographies., In 2022: Gerflor introduced a All-in-1 Collection and its new creations 30, 40, and 55. Conception in a few numbers: 500 possibilities, 4 ranges, 5 technologies, and 15 items.. Key drivers for this market are: Evolving Home Décor Concepts, Rapid Growth in Residential Buildings to Drive Market. Potential restraints include: High Initial Cost, Limited Distribution Channels. Notable trends are: Commercial Sector is Dominating the Market for Vinyl Flooring Products in Saudi Arabia.