Zinc fell to 2,775.93 USD/T on July 31, 2025, down 0.73% from the previous day. Over the past month, Zinc's price has risen 2.18%, and is up 2.55% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Zinc - values, historical data, forecasts and news - updated on July of 2025.

Graph and download economic data for Global price of Zinc (PZINCUSDM) from Jan 1990 to Jun 2025 about zinc, World, metals, and price.

In 2024, the average price for zinc stood at 2,776 nominal U.S. dollars per metric ton. This statistic depicts the average annual prices for zinc from 2014 to 2024, with forecast figures for 2025 through 2026.

In 2024, the price of zinc at the London Metal Exchange stood at around **** U.S. dollars per pound, a *** cent increase from the previous year's price. Zinc metal is a base metal which – among other things – is used as a material to manufacture smartphones.

The zinc oxide prices in India for Q2 2024 reached 2565 USD/MT in June. The market displayed significant price shifts, driven by strong production demand and higher costs for zinc ingot feedstock. In addition, seasonal industrial activities and a solid supply-demand balance contributed to this increase, with the coating and rubber industry playing a crucial role.

Zinc prices in , May, 2025 For that commodity indicator, we provide data from January 1960 to May 2025. The average value during that period was 1281.2 USD per metric ton with a minimum of 176.6 USD per metric ton in September 1962 and a maximum of 4405.4 USD per metric ton in December 2006. | TheGlobalEconomy.com

United States - Producer Price Index by Industry: Copper, Nickel, Lead and Zinc Mining: Copper Ore and Nickel Ore was 321.00000 Index Dec 2003=100 in September of 2020, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Copper, Nickel, Lead and Zinc Mining: Copper Ore and Nickel Ore reached a record high of 484.50000 in July of 2011 and a record low of 100.00000 in December of 2003. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Copper, Nickel, Lead and Zinc Mining: Copper Ore and Nickel Ore - last updated from the United States Federal Reserve on July of 2025.

Australia Commodity Price Index: Weights: Base Metals: Zinc data was reported at 1.000 % in Feb 2013. This stayed constant from the previous number of 1.000 % for Jan 2013. Australia Commodity Price Index: Weights: Base Metals: Zinc data is updated monthly, averaging 1.000 % from Feb 2008 (Median) to Feb 2013, with 61 observations. The data reached an all-time high of 1.000 % in Feb 2013 and a record low of 0.600 % in Aug 2009. Australia Commodity Price Index: Weights: Base Metals: Zinc data remains active status in CEIC and is reported by Reserve Bank of Australia. The data is categorized under Global Database’s Australia – Table AU.I051: Commodity Price Index: Weights (Old).

European Union - Producer prices in industry: Lead, zinc and tin production was 106.80 points in May of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for European Union - Producer prices in industry: Lead, zinc and tin production - last updated from the EUROSTAT on July of 2025. Historically, European Union - Producer prices in industry: Lead, zinc and tin production reached a record high of 133.80 points in April of 2022 and a record low of 39.90 points in January of 2005.

The zinc ingot prices in the United States for Q3 2024 reached 3450 USD/MT in September. The region saw notable fluctuations in zinc ingot prices throughout the quarter, primarily influenced by the limited availability of zinc ingots and ongoing supply chain challenges. These factors, coupled with consistent demand from critical sectors, have kept prices on an upward trajectory, emphasizing the market's sensitivity to supply-demand dynamics.

Explore IMARC’s newly published report, titled “Zinc Ingot Prices, Trend, Chart, Demand, Market Analysis, News, Historical and Forecast Data Report 2024 Edition,” offers an in-depth analysis of zinc ingot pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.

Get the latest insights on price movement and trend analysis of Zinc Oxide 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.

Zinc Index: A DJ Commodity 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

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

Graph and download economic data for Producer Price Index by Industry: Copper, Nickel, Lead and Zinc Mining (PCU2122321223) from Jun 1988 to Jun 2025 about zinc, lead, nickel, copper, mining, metals, PPI, industry, inflation, price index, indexes, price, and USA.

United States - Producer Price Index by Industry: Copper, Nickel, Lead and Zinc Mining: Primary Products was 454.65200 Index Dec 2003=100 in June of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Copper, Nickel, Lead and Zinc Mining: Primary Products reached a record high of 486.50000 in May of 2021 and a record low of 100.00000 in December of 2003. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Copper, Nickel, Lead and Zinc Mining: Primary Products - last updated from the United States Federal Reserve on July of 2025.

Get the latest insights on price movement and trend analysis of Zinc Ingot 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.

Zinc Price Volatility Expected to Impact DJ Commodity Zinc 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

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.

Will the Zinc Index Dictate the Future of the Market?

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

Hindustan Zinc reported 21.46 in PE Price to Earnings for its fiscal quarter ending in March of 2025. Data for Hindustan Zinc | HZNC - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last July in 2025.

The global zinc and its products market is experiencing robust growth, driven by increasing demand across diverse sectors. While the exact market size for 2025 is not provided, considering a plausible CAGR (let's assume 5%, a reasonable estimate for this market given its established nature and varied applications) and a hypothetical 2019 market size of $50 billion (a reasonable assumption based on historical zinc market data), the 2025 market size could be estimated at approximately $64 billion. This growth is fueled by several key factors. The burgeoning construction industry, particularly in developing economies, significantly boosts demand for zinc in galvanizing steel and roofing applications. Furthermore, the expanding agricultural sector, reliant on zinc fertilizers and animal feed supplements, fuels substantial market expansion. The automotive industry also contributes significantly, utilizing zinc in components demanding corrosion resistance and durability. Emerging applications in electronics and renewable energy further solidify the market's positive outlook. However, the market faces certain restraints. Fluctuations in zinc prices, primarily influenced by global supply and demand dynamics, pose a challenge. Environmental regulations regarding zinc production and waste management also necessitate increased investment and compliance measures. Competition from alternative materials, such as aluminum and plastics, particularly in certain applications, presents an ongoing challenge for zinc market players. Segmentation analysis reveals significant opportunities across various applications: agriculture, pharmaceuticals, rubber, ceramics, paints, and chemicals. The geographic distribution of demand is also noteworthy, with North America, Europe, and Asia Pacific remaining key markets, while developing regions present substantial growth potential. The projected CAGR points toward continued expansion, indicating a promising future for the zinc and its products market, although mindful of potential market disruptions.