Germanium stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Germanium traded flat at 14,250 CNY/Kg on September 19, 2025. Over the past month, Germanium's price has fallen 1.74%, and is down 21.05% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Germanium.

In 2024, the price of germanium metal in the United States stood at some 2,100 U.S. dollars per kilogram, while the germanium dioxide price stood at approximately 1,400 U.S. dollars per kilogram at that time. Both of those prices were the highest they had been in several years.

The General Electric Company’s stock cost ****** U.S. dollars per share at the end of 2023, a significant increase compared to the closing of the previous year. GE is an international conglomerate operating in various industry sectors, with aviation, power, oil & gas and healthcare being the main sources of revenue for the company. GE specific statistics For a more precise picture on the status of GE, the company’s balance sheet gives insight. GE’s revenue has remained relatively stable, but the number of employees has decreased in the past few years. This suggests that the company, though maintaining its income, is cutting costs due to worries over profitability. The drop in the stock price over recent years could be the public’s uncertainty over the company’s future, or it could point to real struggles within the firm.

In 2023, China was the leading producer of germanium worldwide by far, having accounted for more than ** percent of global production. The United States and Japan accounted for equal shares of the global production of germanium in that year, amounting to **** percent each.

This dataset is about stocks per day. It has 4,236 rows and is filtered where the stock is GE.BA. It features 6 columns including stock, opening price, highest price, and lowest price.

Net-Income-Applicable-To-Common-Shares Time Series for Yunnan Lincang Xinyuan Germanium Industrial Co Ltd. Yunnan Lincang Xinyuan Germanium Industry Co.,LTD engages in the research and development, deep processing, germanium mining, pyrometallurgical enrichment, hydrometallurgical purification, and zone melting refining in China. The company offers material-grade germanium products, including germanium ingots and germanium dioxide; photovoltaic-grade germanium products, such as solar germanium wafers; infrared-grade germanium products that includes germanium single crystals and blanks, germanium lenses, infrared thermal imaging cameras, and optical systems; fiber-grade germanium products comprising germanium tetrachloride for optical fibers; and compound semiconductor materials, including gallium arsenide and indium phosphide wafers. It also engages in the production and sale of germanium coal. The company's products are used in infrared photoelectric, solar energy batteries, optical fiber communications, light-emitting diodes, vertical cavity surface emitting lasers (VCSEL), high-power lasers, lasers and detectors for optical communications, and other fields. Yunnan Lincang Xinyuan Germanium Industry Co.,LTD was founded in 1998 and is based in Kunming, China.

GE HealthCare Technologies stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

This dataset is about stocks per day. It has 161 rows and is filtered where the stock is GE and the date is after the 11th of September 2024. It features 3 columns: stock, and opening price.

GE Vernova 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.

General (GE) Electric Stock: Powering Ahead or Stalled?

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

General Electric Aerospace 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.

GE Aerospace Poised for Growth: Analysts Bullish on (GE)

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

Historical AI model predictions and analysis for GE Vernova stock across multiple timeframes and confidence levels

Gallium stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

GE stock may face continued downward pressure due to ongoing financial challenges and restructuring efforts. The company's reliance on the volatile energy market and legacy liabilities pose significant risks. However, potential recovery in the energy sector and progress in addressing financial headwinds offer some upside potential.

Georgia GE: External Debt: Stock: Rescheduled data was reported at 0.000 USD mn in 2016. This stayed constant from the previous number of 0.000 USD mn for 2015. Georgia GE: External Debt: Stock: Rescheduled data is updated yearly, averaging 0.000 USD mn from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 393.567 USD mn in 1996 and a record low of 0.000 USD mn in 2016. Georgia GE: External Debt: Stock: Rescheduled data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: External Debt: Arrears and Reschedulings. Debt stocks rescheduled is the amount of debt outstanding rescheduled in any given year. Data are in current U.S. dollars.; ; World Bank, International Debt Statistics.; Sum;

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.

General Electric's (GE) Stock: Ready for a Comeback?

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

General Electric Aerospace reported $11.3B in Stock for its fiscal quarter ending in June of 2025. Data for General Electric Aerospace | GE - Stock including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Stock-Based-Compensation Time Series for GE HealthCare Technologies Inc.. GE HealthCare Technologies Inc. engages in the development, manufacture, and marketing of products, services, and complementary digital solutions used in the diagnosis, treatment, and monitoring of patients in the United States, Canada, and internationally. The company operates through four segments: Imaging, Advanced Visualization Solutions (AVS), Patient Care Solutions (PCS), and Pharmaceutical Diagnostics (PDx). The Imaging segment offers molecular imaging, computed tomography (CT) scanning, magnetic resonance (MR) imaging, image-guided therapy, X-ray systems, and women's health products. The AVS segment provides ultrasound, image guided therapies, and interventional solutions for screening, diagnosis, treatment, and monitoring of certain diseases in clinical areas, such as women's health, cardiovascular, and comprehensive care ultrasound as well as surgical visualization and guidance products. The PCS segment provides medical devices, consumables, services, and digital solutions. Its portfolio includes patient monitoring, diagnostic cardiology, consumables and services, digital solutions, maternal infant care, and anesthesia products. The PDx segment supplies diagnostic agents, including CT, angiography and X-ray, MR, single-photon emission computed tomography, and positron emission tomography to the radiology and nuclear medicine industries. The segment also provides contrast media pharmaceuticals that are administered to a patient prior to certain diagnostic scans to increase the visibility of tissues or structures during imaging exams; and molecular imaging agents or radiopharmaceuticals, which are molecular tracers labeled with radioisotopes. The company was formerly known as GE Healthcare Holding LLC and changed its name to GE HealthCare Technologies Inc. in December 2022. The company was incorporated in 2022 and is headquartered in Chicago, Illinois.