The price to earnings ratio is a measurement often used to determine stock valuation. In short, P/E is used to measure what the market is willing to pay for a company based on its earnings. The trailing P/E for green & renewable energy companies operating in the environmental and waste services market was approximately ****. This meant in theory that investors would be willing to pay just over **** (dollars or currency used) for every one (dollar) the company made through earnings.Another formula that is used by investors to measure the value of an industry or potential target company for acquisition is the enterprise value to earnings before interest, taxes, depreciation and amortization (EV/EBITDA).

Saudi Arabia PE Ratio: Tadawul: Annual: Energy data was reported at 14.431 NA in 2017. Saudi Arabia PE Ratio: Tadawul: Annual: Energy data is updated yearly, averaging 14.431 NA from Dec 2017 (Median) to 2017, with 1 observations. Saudi Arabia PE Ratio: Tadawul: Annual: Energy data remains active status in CEIC and is reported by Tadawul. The data is categorized under Global Database’s Saudi Arabia – Table SA.Z014: Tadawul Stock Exchange: Price Earnings Ratio.

Price-Earnings-Ratio Time Series for Diversified Energy Company PLC. Diversified Energy Company PLC operates as an independent owner and operator of producing natural gas and oil wells primarily in the Appalachian Basin of the United States. The company is involved in the production, marketing, and transportation of natural gas, natural gas liquids, crude oil, and condensates. Its assets consist of natural gas wells and gathering systems located in the states of Tennessee, Kentucky, Virginia, West Virginia, Ohio, Pennsylvania, Oklahoma, Texas, and Louisiana. The company was formerly known as Diversified Gas & Oil PLC and changed its name to Diversified Energy Company PLC in May 2021. The company was founded in 2001 and is headquartered in Birmingham, Alabama.

Poland P/E Ratio: WSE: Main Market: Oil and Energy: Energy data was reported at 9.000 NA in Jun 2018. This records a decrease from the previous number of 9.400 NA for May 2018. Poland P/E Ratio: WSE: Main Market: Oil and Energy: Energy data is updated monthly, averaging 10.200 NA from Nov 2007 (Median) to Jun 2018, with 124 observations. The data reached an all-time high of 159.100 NA in Mar 2016 and a record low of 6.200 NA in Feb 2013. Poland P/E Ratio: WSE: Main Market: Oil and Energy: Energy data remains active status in CEIC and is reported by Warsaw Stock Exchange. The data is categorized under Global Database’s Poland – Table PL.Z006: Warsaw Stock Exchange: Price to Earnings Ratio.

Japan TSE: C: Average: PE Ratio: PM: Electric Power & Gas data was reported at 6.900 Times in Apr 2025. This records an increase from the previous number of 6.800 Times for Mar 2025. Japan TSE: C: Average: PE Ratio: PM: Electric Power & Gas data is updated monthly, averaging 19.200 Times from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 38.300 Times in May 2024 and a record low of 6.500 Times in Jan 2025. Japan TSE: C: Average: PE Ratio: PM: Electric Power & Gas data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Price Earnings Ratio. [COVID-19-IMPACT]

Woodside Energy reported $15.67 in PE Price to Earnings for its fiscal semester ending in June of 2024. Data for Woodside Energy | WPL - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Price-Earnings-Ratio Time Series for Uranium Energy Corp. Uranium Energy Corp., together with its subsidiaries, engages in exploration, pre-extraction, extraction, and processing of uranium and titanium concentrates properties in the United States, Canada, and the Republic of Paraguay. The company was formerly known as Carlin Gold Inc. and changed its name to Uranium Energy Corp. in January 2005. The company was incorporated in 2003 and is headquartered in Corpus Christi, Texas.

Price-Earnings-Ratio Time Series for Engie S.A.. Engie SA operates as an energy company, engages in the renewables and decentralized, low-carbon energy networks, and energy services businesses in France, Europe, North America, Asia, the Middle East, Oceania, South America, Africa, and internationally. It operates through Renewables, Networks, Energy Solutions, FlexGen, Retail, Nuclear, and Others segments. The Renewables segment comprises renewable energy generation activities, including financing, construction, operation, and maintenance of renewable energy, such as hydroelectric, onshore wind, photovoltaic solar, offshore wind, and battery storage. The Networks segment comprises the electricity and gas infrastructure activities, including the management and development of gas and electricity transportation networks and natural gas distribution networks in and outside of Europe, natural gas underground storage in Europe, and regasification infrastructure in France and Chile. The Energy Solutions provides the construction and management of decentralized energy networks, including heating and cooling networks, distributed power generation plants, distributed solar power parks, low-carbon mobility, low-carbon cities and public lighting, energy efficiency, technical maintenance, and sustainable development consulting. The FlexGen segment comprises flexible thermal generation and electricity, pumping, and battery storage facilities; solutions for decarbonizing industry with low-carbon hydrogen; and financing, construction, and operation of desalination plants. The Retail segment engages in the sale of gas and electricity to professional, individual, and residential clients. The Nuclear segment engages in the nuclear power generation activities. The others segment sells energy to companies and offers energy management services and solutions. The company was formerly known as GDF SUEZ S.A. and changed its name to Engie SA in April 2015. Engie SA was founded in 1880 and is headquartered in Courbevoie, France.

Price-Earnings-Ratio Time Series for Liaoning Hongyang Energy Resource Invest Co Ltd. LIAONING ENERGY INDUSTRY Co.,LTD engages in the coal mining and washing business in China. It is also involved in the production and supply of electricity, steam, and heat. The company was founded in 1993 and is based in Shenyang, China.

Price-Earnings-Ratio Time Series for EMCOR Group Inc. EMCOR Group, Inc. provides electrical and mechanical construction and facilities, building, and industrial services in the United States and the United Kingdom. It offers design, integration, installation, startup, operation, and maintenance services related to power transmission, distribution, and generation systems; energy solutions; premises electrical and lighting systems; process instrumentation; low-voltage systems; voice and data communications systems; roadway and transit lighting, signaling, and fiber optic lines; computerized traffic control systems, and signal and communication equipment; heating, ventilation, air conditioning, refrigeration, and geothermal solutions; clean-room process ventilation systems; fire protection and suppression systems; plumbing, process, and piping systems; control and filtration systems; water and wastewater treatment systems; central plant heating and cooling systems; crane and rigging; millwright; and steel fabrication, erection, and welding services. The company also provides site-based operations and maintenance; facility management and maintenance; energy retrofit; military base operations support; indoor air quality; floor care and janitorial; landscaping, lot sweeping, and snow removal; vendor management and call center; installation and support for building systems; program development, management, and maintenance for energy systems; technical consulting and diagnostic; infrastructure and building projects; modification and retrofit projects; and reception, security, and catering services. In addition, it offers refinery turnaround planning and engineering; welding; overhaul and maintenance; technical; instrumentation, controls, and electrical; electrical panel design, fabrication, and installation; on-site repair and maintenance; and renewable energy services, as well as design, manufacturing, repair, and hydro blast cleaning services. The company was incorporated in 1987 and is headquartered in Norwalk, Connecticut.

Price-Earnings-Ratio Time Series for Avista Corporation. Avista Corporation, together with its subsidiaries, operates as an electric and natural gas utility company in the United States. It operates through two segments, Avista Utilities and Alaska Electric Light and Power Company (AEL&P). The Avista Utilities segment provides electric distribution and transmission, and natural gas distribution and transmission services in parts of eastern Washington and northern Idaho; and natural gas distribution services in parts of northeastern and southwestern Oregon, as well as generates electricity in Washington, Idaho, Oregon, and Montana. This segment also engages in the supply of electricity to customers in Montana; and wholesale purchase and sale of electricity and natural gas. The AEL&P segment offers electric services in Juneau, Alaska. The company generates electricity through hydroelectric, thermal, wind, and solar generation facilities. As of December 31, 2024, it supplied retail electric services to approximately 422,000 customers; retail natural gas services to approximately 383,000 customers; and electrical energy to approximately 17,800 customers. The company also operated five hydroelectric generation facilities with a capacity of 102.7 MW; and four diesel generating facilities with a capacity of 107.5 MW. In addition, it engages in venture fund investments, real estate investments, and other investments. The company was formerly known as Washington Water Power and changed its name to Avista Corporation in January 1999. Avista Corporation was incorporated in 1889 and is headquartered in Spokane, Washington.

AGL Energy reported AUD7.31 in PE Price to Earnings for its fiscal semester ending in June of 2025. Data for AGL Energy | AGL - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Price-Earnings-Ratio Time Series for Hunan Corun New Energy Co Ltd. Hunan Corun New Energy Co., Ltd. operates in the energy storage industry in China. The company manufactures battery materials, including continuous band-shaped nickel foam and punched nickel-plated steel band; battery components, such as positive and negative electrode plates of Ni-MH batteries; batteries for civil use comprising Ni-MH, NCM, lithium polymer, lithium cobalt oxide, lithium primary, and lithium iron phosphate batteries; automotive batteries; and hybrid assembly systems. Hunan Corun New Energy Co., Ltd. was founded in 1998 and is based in Changsha, China.

Saudi Arabia PE Ratio: Tadawul: Energy data was reported at 15.870 NA in Nov 2018. This records an increase from the previous number of 13.927 NA for Oct 2018. Saudi Arabia PE Ratio: Tadawul: Energy data is updated monthly, averaging 14.450 NA from Jan 2017 (Median) to Nov 2018, with 23 observations. The data reached an all-time high of 20.053 NA in Sep 2017 and a record low of 8.730 NA in Jul 2017. Saudi Arabia PE Ratio: Tadawul: Energy data remains active status in CEIC and is reported by Tadawul. The data is categorized under Global Database’s Saudi Arabia – Table SA.Z014: Tadawul Stock Exchange: Price Earnings Ratio.

Thailand SET: Approach 2: PE Ratio: Energy data was reported at 13.050 Unit in Oct 2018. This records a decrease from the previous number of 13.930 Unit for Sep 2018. Thailand SET: Approach 2: PE Ratio: Energy data is updated monthly, averaging 11.280 Unit from Jan 2003 (Median) to Oct 2018, with 187 observations. The data reached an all-time high of 46.690 Unit in Jul 2016 and a record low of 4.620 Unit in Oct 2008. Thailand SET: Approach 2: PE Ratio: Energy data remains active status in CEIC and is reported by The Stock Exchange of Thailand. The data is categorized under Global Database’s Thailand – Table TH.Z003: The Stock Exchange of Thailand: PE Ratio.

Price-Earnings-Ratio Time Series for Daxin Materials Corp. Daxin Materials Corporation engages in the research, development, production, and sale of display and key raw materials, and specialty chemicals for semiconductors in Taiwan, China, Japan, and internationally. The company offers semiconductor materials comprising laser release layers and photosensitive dielectrics; display materials, such as LCD, touch panel, and flexible OLED/EPD materials; and key raw materials, including anhydride monomers. It is also involved in the provision of instrument analysis solutions comprising composition analysis, impurity analysis, quantitation analysis, and material testing for materials used in semiconductors, flat panel displays, solar energy, and chemical companies. The company was incorporated in 2006 and is headquartered in Taichung City, Taiwan.

Meridian Energy reported NZD35.65 in PE Price to Earnings for its fiscal semester ending in June of 2024. Data for Meridian Energy | MEL - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last December in 2025.

NexGen Energy reported CAD31.6 in PE Price to Earnings for its fiscal quarter ending in June of 2025. Data for NexGen Energy | NXE - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Taiwan TWSE: PE Ratio: Oil, Gas & Electricity data was reported at 13.230 NA in Oct 2018. This records a decrease from the previous number of 15.920 NA for Sep 2018. Taiwan TWSE: PE Ratio: Oil, Gas & Electricity data is updated monthly, averaging 20.700 NA from Jul 2007 (Median) to Oct 2018, with 134 observations. The data reached an all-time high of 2,089.270 NA in Nov 2012 and a record low of 8.370 NA in Jan 2009. Taiwan TWSE: PE Ratio: Oil, Gas & Electricity data remains active status in CEIC and is reported by Taiwan Stock Exchange Corporation. The data is categorized under Global Database’s Taiwan – Table TW.Z003: Taiwan Stock Exchange (TWSE): Price Earnings Ratio.

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.

Constellation Energy to Expand Clean Energy Portfolio with Texas Nuclear Plant Acquisition

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