Nickel fell to 15,235 USD/T on July 11, 2025, down 0.33% from the previous day. Over the past month, Nickel's price has risen 0.86%, but it is still 9.62% lower than a year ago, 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 July of 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.

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

Graph and download economic data for Global price of Nickel (PNICKUSDM) from Jan 1990 to May 2025 about nickel, World, and price.

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

Nickel Mines reported $743.92M in Current Assets for its fiscal semester ending in December of 2024. Data for Nickel Mines | NIC - Current Assets including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Get the latest insights on Nickel's price movement and trend analysis 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.

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

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's Volatility May Impact TR/CC CRB Nickel 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

Nickel Mines reported $182.04M in Trade Creditors for its fiscal semester ending in December of 2024. Data for Nickel Mines | NIC - Trade Creditors including historical, tables and charts were last updated by Trading Economics this last July 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.

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

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

Norilsk Nickel reported RUB15.69B in Market Capitalization this July 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 July in 2025.

Snapshot img { margin: 10px !important; } Below are some of the key findings from the primary nickel market research report

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Global primary nickel industry overview

One of the key factors contributing to the growth of the global primary nickel market is the increasing production of stainless steel. The factors contributing to the increased production of stainless steel include the use of stainless steel bars in the construction sector, escalating rate of industrialization, and rising focus on R&D. Increased investments in the building and infrastructure segment, growing demand for automobiles, high recyclability of stainless steel, and increasing popularity of food-grade stainless steel are contributing to the increased demand for primary nickel. Nickel imparts strength, temperature resistance, and corrosion-resistance to stainless steel. Therefore, the significant demand for stainless steel is likely to positively impact the growth of the primary nickel market during the forecast period. The primary nickel market is projected to grow at a CAGR of over 2% during the forecast period.

Nickel recycling is one of the major trends being witnessed in the global primary nickel market. Nickel is a high-value, non-ferrous metal like copper, aluminum, and zinc. Due to its high value as a commodity, efforts focused on efficient recovery and recycling of the metal are in place. The extensive use of the metal in stainless steel and nickel alloys increases the recyclability factor of nickel. The enhanced durability of nickel-based materials implies that such materials can be successfully converted into high-quality alternatives. The recycling of nickel is a prospective solution to meet the growing demand for metal in various end-user segments.

Top primary nickel companies covered in this market research report

The primary nickel market is moderately fragmented with multiple players occupying the market share. By offering a complete analysis of the market’s competitive landscape and with information on the products offered by the companies, this primary nickel industry analysis report is designed to aid clients to identify new growth opportunities and make informed business decisions.

The report offers a complete analysis of various companies including:

Anglo American
BHP
Glencore
Norilsk Nickel
Vale

Primary nickel market segmentation based on geographic regions

Americas
APAC
EMEA

The APAC region will account for the highest incremental growth of this market throughout the forecast period. The economic development in emerging countries such as China and India will propel the growth of the market during the forecast period.

Primary nickel market segmentation based on end users

Engineering
Metal goods
Transport
Tubular products
electrical and electronics
Architecture, building, construction

The engineering segment accounted for the significant share of the nickel metal market during 2017. Nickel is used in the production of food preparation equipment, medical equipment, power generation equipment, and electroplating tools.

Moreover, nickel coatings are used in various industries such as automotive, aerospace, and communication. These factors are driving the growth of the market. Additionally, the report will also provide an accurate prediction of the contribution of the various end-user segments to the growth of the primary nickel market size.

Key highlights of the global primary nickel market for the forecast years 2018-2022:

CAGR of the market during the forecast period 2018-2022
Detailed information on factors that will accelerate the growth of the primary nickel market during the next five years
Precise estimation of the global primary nickel market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the primary nickel industry across the Americas, APAC, and EMEA
A thorough analysis of the market’s competitive landscape and detailed information on several vendors
Comprehensive details on the factors that will challenge the growth of the primary nickel companies

We can help! Our analysts can customize this market research report to meet your requirements. Get in touch

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 Price Outlook: DJ Commodity Nickel Index Faces Volatility

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 forecast: Mixed outlook anticipated

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 Nickel Sulfate Market size is USD 9981.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 14.20% 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 3992.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.4% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 2994.36 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 2295.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.2% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 499.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.6% from 2024 to 2031.
Middle East and Africa hada market share of around 2% of the global revenue and was estimated at a market size of USD 199.62 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.9% from 2024 to 2031.
The dominant category is Electroplating. Electroplating accounts for a significant share of nickel sulfate consumption due to its widespread use in various industries such as automotive, electronics, and aerospace.

Market Dynamics of Nickel Sulfate Market

Key Drivers for Nickel Sulfate Market

Increasing Demand from the Electric Vehicle (EV) Industry to Increase the Demand Globally

The global push towards sustainable transportation has fueled the demand for electric vehicles (EVs), driving growth in the nickel sulfate market. Nickel sulfate is a key component in lithium-ion batteries, particularly in the cathode material. With the rising adoption of EVs worldwide, the demand for nickel sulfate is expected to surge. This trend is further supported by government incentives and regulations promoting the use of electric vehicles to reduce carbon emissions.

Growing Application in the Electroplating Industry to Propel Market Growth

Nickel sulfate is extensively used in the electroplating industry for providing a shiny, corrosion-resistant surface to various metal objects. The increasing demand for electroplated products across industries such as automotive, electronics, and aerospace is a significant driver for the nickel sulfate market. Moreover, the superior properties of nickel sulfate in providing uniform coatings and improving the durability of plated objects make it a preferred choice in the electroplating industry.

Restraint Factor for the Nickel Sulfate Market

Volatility in Nickel Prices and Supply Constraints to Limit the Sales

The Nickel Sulfate Market faces a significant restraint due to volatility in nickel prices and supply constraints. Nickel, a primary raw material for nickel sulfate production, experiences frequent price fluctuations influenced by factors such as global demand, supply disruptions, and economic conditions. These price variations impact the overall production costs of nickel sulfate, affecting its market dynamics and profitability. Additionally, supply constraints, including limited nickel ore reserves and production capacity, further exacerbate market challenges.Fluctuating nickel prices and supply shortages create uncertainty for market players, leading to hesitancy in investment and expansion plans.

Impact of Covid-19 on the Nickel Sulfate Market

The Covid-19 pandemic had a significant impact on the global Nickel Sulfate Market. The market faced disruptions in the supply chain due to lockdowns and restrictions imposed by governments to contain the spread of the virus, leading to a decrease in production and availability of nickel sulfate. The demand for nickel sulfate also experienced a decline, primarily due to the slowdown in industrial activities across various sectors, including automotive and electronics, which are major consumers of nickel sulfate. However, as the economy gradually recovers and industries resume operations, the nickel sulfate market is expected to witness a gradual recovery, supported by the increasing demand for electric vehicles and the growing electronics industry. Introduction of the Nickel Sulfate Market

The Nickel sulfate is an inorganic compound with the formula NiSO4. It is a blue, crystalline solid that is highly soluble in water. Nickel sulfate is primarily used in the ...

Nickel Mines reported $87.84M in Operating Profit for its fiscal semester ending in June of 2024. Data for Nickel Mines | NIC - Operating Profit including historical, tables and charts were last updated by Trading Economics this last July in 2025.

The global market size of Nickel-Cadmium (NiCd) Battery is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global Nickel-Cadmium (NiCd) Battery Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Nickel-Cadmium (NiCd) Battery industry. The key insights of the report:
1.The report provides key statistics on the market status of the Nickel-Cadmium (NiCd) Battery manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of Nickel-Cadmium (NiCd) Battery industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7.The report makes some important proposals for a new project of Nickel-Cadmium (NiCd) Battery Industry before evaluating its feasibility.
There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of Nickel-Cadmium (NiCd) Battery as well as some small players. At least 8 companies are included:
* East Penn Manufacturing Company
* Inc (US)
* Exide Technologies (US)
* Panasonic Corp. (Japan)
* Exide Industries Limited (India)
* F.I.A.M.M SpA (Italy)
For complete companies list, please ask for sample pages.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share

For product type segment, this report listed main product type of Nickel-Cadmium (NiCd) Battery market
* Product Type I
* Product Type II
* Product Type III

For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Industry
* Automobile
* Application 3

For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

Reasons to Purchase this Report:
* Analyzing the outlook of the market with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
* 1-year analyst support, along with the data support in excel format.
We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.

Nickel Mines reported $3.9B in Assets for its fiscal semester ending in December of 2024. Data for Nickel Mines | NIC - Assets including historical, tables and charts were last updated by Trading Economics this last July in 2025.