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

Nickel fell to 14,879.88 USD/T on December 3, 2025, down 0.20% from the previous day. Over the past month, Nickel's price has fallen 1.20%, and is down 7.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Nickel - values, historical data, forecasts and news - updated on December of 2025.

The price of nickel stock can be highly volatile and is influenced by various factors such as global demand, supply issues, economic stability, geopolitical events, and market speculation. This article explores how these factors impact the price of nickel stock and provides insights for investors in making informed investment decisions.

The article provides an overview of the nickel stock market price, highlighting the factors that influence it, such as supply and demand dynamics, government policies, and global economic conditions. It also discusses the recent volatility in nickel prices due to the electric vehicle industry, the COVID-19 pandemic, and geopolitical events. Investors and traders interested in nickel stocks can use this information to make informed investment decisions.

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

Nickel Mines reported $139.82M in Stock for its fiscal semester ending in December of 2024. Data for Nickel Mines | NIC - Stock including historical, tables and charts were last updated by Trading Economics this last November in 2025.

In May 2024, the price of one metric ton of nickel stood at some ********* U.S. dollars. In comparison, in December 2016, the price of nickel was just below ****** U.S. dollars per metric ton. Thus, the nickel price has increased considerably in recent years, though it continuously fluctuates. In the beginning of 2022, however, the price of nickel skyrocketed due to disruptions to supply chains and a wide scarcity of raw materials and metals. Overview of nickel Discovered in 1751, nickel is a base metal with a silvery-white lustrous appearance that has a slightly golden tinge. The metal is crucial for many global industries, especially, for example, for the production of stainless-steel. Nickel is highly corrosion-resistant and is used to plate other metals in order to protect them. Because of these useful traits, nickel is used in more than ******* products worldwide, spanning from architectural, industrial, military, transportation and aerospace, marine, currency, and consumer applications. Nickel price dynamics Though nickel is the fifth most abundant element found on Earth, as with any commodity, the price of nickel can vary widely depending on global market conditions. Following the collapse of the Soviet Union, exports of nickel increased dramatically, dropping the price of nickel in the mid-1990s to below production costs. Nickel production in the Western Hemisphere was reduced during that period. Prices then increased again, up to a high of ****** U.S. dollars per metric ton in May 2007. Since then, nickel prices have decreased, and have remained between a low of ***** U.S. dollars per metric ton and a high of ****** U.S. dollars per metric ton between 2016 and 2021. It is forecast that the price of nickel will amount to more than ****** U.S. dollars per metric ton in 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.

Nickel Price Outlook: TR/CC CRB Nickel index Faces Volatility Amidst Shifting Supply Dynamics.

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

Investing in nickel mining stocks, ETFs, and futures contracts. Factors influencing nickel price, demand, and market dynamics. Research and industry knowledge essential for successful nickel investments.

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.

TR/CC CRB Nickel Index: A Reliable Gauge of Nickel Market Performance?

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 article explores the various factors that influence the nickel price in the stock market, including demand and supply dynamics, global economic conditions, and market speculation. It highlights the importance of nickel in various industries and how its price is closely tied to the growth and performance of these sectors. The article also discusses the impact of supply disruptions, changes in government policies, and demand from emerging economies on the nickel market. Additionally, it emphasizes the rol

Norilsk Nickel reported RUB4.8B in Stock for its fiscal semester ending in December of 2022. Data for Norilsk Nickel | GMKN - Stock including historical, tables and charts were last updated by Trading Economics this last December in 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.

Nickel Commodity DJ Forecast: Volatility Expected for the Nickel Index

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

Nickel Mines reported $3.17B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for Nickel Mines | NIC - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Nickel-Plated Aluminum Tab Stock Market Outlook

According to our latest research, the global nickel-plated aluminum tab stock market size reached USD 1.34 billion in 2024, reflecting robust expansion driven by surging demand across battery manufacturing and advanced electronics applications. The market is registering a healthy CAGR of 8.1% from 2025 to 2033, with projections indicating the market will reach USD 2.53 billion by 2033. The primary growth factor fueling this trajectory is the rapid growth of the electric vehicle (EV) industry and the increasing adoption of energy storage solutions, both of which require high-performance, corrosion-resistant tab stock materials for efficient current collection and extended lifecycle.

The nickel-plated aluminum tab stock market is being propelled by several critical growth drivers, most notably the exponential rise in demand for lithium-ion batteries. As global automotive manufacturers pivot toward electrification and governments implement stringent emissions regulations, the need for reliable, lightweight, and cost-effective battery components has surged. Nickel-plated aluminum tab stock offers a unique combination of conductivity, corrosion resistance, and mechanical strength, making it an ideal choice for battery tabs that must withstand repeated charge-discharge cycles. Additionally, the proliferation of renewable energy installations and grid-scale energy storage systems is amplifying demand for high-quality tab stock, as these applications necessitate materials that maintain performance under varying environmental and operational stresses.

Another pivotal factor contributing to market growth is the rapid evolution of consumer electronics and portable devices. Smartphones, laptops, wearables, and other high-drain devices require batteries that are not only compact but also deliver consistent performance and safety. The integration of nickel-plated aluminum tab stock in battery assemblies helps manufacturers achieve these objectives, as it enables efficient current transfer while minimizing the risk of thermal runaway and degradation over time. Furthermore, advancements in manufacturing technologies, such as precision stamping and automated plating processes, have enhanced the quality and scalability of tab stock production, reducing costs and broadening accessibility for manufacturers across various industries.

Sustainability and recyclability are also emerging as significant growth levers for the nickel-plated aluminum tab stock market. As environmental concerns mount and regulatory frameworks tighten, manufacturers are increasingly seeking materials that support circular economy initiatives. Nickel-plated aluminum is favored for its recyclability, lightweight nature, and lower environmental footprint compared to traditional copper-based alternatives. This shift is particularly evident in regions prioritizing green manufacturing and responsible sourcing, where industry stakeholders are investing in closed-loop recycling systems and sustainable supply chains. The alignment of nickel-plated aluminum tab stock with these broader sustainability goals is expected to further elevate its adoption in both established and emerging markets.

From a regional perspective, Asia Pacific continues to dominate the nickel-plated aluminum tab stock market, accounting for more than 45% of global revenue in 2024. This leadership is underpinned by the region’s status as a global manufacturing hub for batteries, electronics, and electric vehicles, with countries like China, Japan, and South Korea at the forefront of innovation and production. North America and Europe are also witnessing significant growth, driven by investments in EV infrastructure, renewable energy projects, and advanced manufacturing capabilities. Meanwhile, Latin America and the Middle East & Africa are gradually emerging as new frontiers, propelled by industrialization and increasing adoption of clean energy solutions. These regional dynamics are shaping the competitive landscape and influencing supply chain strategies across the industry.

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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.

Nickel index faces uncertain future amid shifting market dynamics.

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.

Nickel Index: A Leading Indicator?

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

Nickel-Plated Aluminum Tab Stock Market Outlook

According to our latest research, the Global Nickel-Plated Aluminum Tab Stock Market size was valued at $1.1 billion in 2024 and is projected to reach $2.3 billion by 2033, expanding at a CAGR of 8.2% during 2024–2033. The primary driver for this notable growth is the surging demand for high-performance battery components across the automotive and consumer electronics sectors, particularly fueled by the rapid adoption of electric vehicles (EVs) and portable electronic devices worldwide. Nickel-plated aluminum tab stock is increasingly being recognized for its superior conductivity, corrosion resistance, and cost-effectiveness, making it a preferred choice for battery manufacturers aiming to enhance product lifespan and performance. This trend is further supported by ongoing advancements in battery technology and the global shift towards sustainable energy solutions, positioning the nickel-plated aluminum tab stock market for robust expansion over the forecast period.

Regional Outlook

Asia Pacific currently dominates the global nickel-plated aluminum tab stock market, accounting for more than 52% of the overall market share in 2024. This region’s leadership is primarily attributed to the presence of large-scale battery manufacturing hubs in China, Japan, and South Korea, coupled with the aggressive expansion of the electric vehicle industry. Government policies promoting local production, heavy investments in R&D, and the availability of cost-effective raw materials have collectively fostered a mature ecosystem for nickel-plated aluminum tab stock suppliers. Additionally, the proliferation of consumer electronics manufacturing in this region has created a sustained demand for high-quality tab stock materials, further reinforcing Asia Pacific’s position as the market leader.

North America is anticipated to be the fastest-growing region, with a projected CAGR of 9.5% from 2024 to 2033. This remarkable growth is being driven by significant investments in EV infrastructure, the resurgence of domestic battery manufacturing, and strategic initiatives aimed at reducing reliance on imported battery components. The United States and Canada are witnessing increased funding in advanced battery research, supported by both government incentives and private sector investment. Furthermore, the region’s focus on clean energy transitions and the development of next-generation automotive technologies is catalyzing demand for nickel-plated aluminum tab stock, particularly in high-performance and safety-critical applications.

Emerging economies in Latin America and the Middle East & Africa are gradually entering the nickel-plated aluminum tab stock market, albeit at a slower pace due to infrastructural and regulatory challenges. While adoption is currently limited by factors such as high initial investment costs, lack of technical expertise, and fragmented supply chains, localized demand is beginning to rise, particularly in industrial equipment and renewable energy projects. Policymakers in these regions are increasingly recognizing the importance of fostering local manufacturing capabilities and are introducing incentives to attract foreign direct investment. However, the pace of market penetration remains contingent on broader economic reforms and the establishment of robust supply networks.

Report Scope

Stock Price Time Series for GEM Co Ltd. GEM Co., Ltd. operates in the waste resource comprehensive utilization industry in China and internationally. The company offers low and medium, and high nickel NCM ternary precursor; cobalt-free binary precursor; quaternary precursor; NFM ternary precursor; core-shell NCM ternary precursor; lithium-rich manganese precursor; ultra-high nickel NCM ternary precursor; and platinum carbon catalyst. It also provides ternary precursor and cathode materials; cobalt oxide; cobalt products, such as cobalt cathode, powder, flakes, and carbonate; lithium cobaltate; tungsten products, including ammonium paratungstate, tungsten carbide, and tungsten powder; nickel sulfate; crushed WEEE and scrap car materials; and Recycled Plastic and WPC. In addition, the company engages in power battery recycling business. The company was formerly known as Shenzhen Green Eco-manufacture Hi-tech Co., Ltd. and changed its name to GEM Co., Ltd. in April 2015. GEM Co., Ltd. was founded in 2001 and is based in Shenzhen, China.

Norilsk Nickel reported RUB19.72B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for Norilsk Nickel | GMKN - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.