Zinc rose to 2,825.50 USD/T on July 18, 2025, up 3.11% from the previous day. Over the past month, Zinc's price has risen 6.82%, and is up 1.76% 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 May 2025 about zinc, World, metals, and price.

Explore the factors affecting zinc prices, including global demand, supply dynamics, geopolitical events, and environmental policies. Understand how economic cycles, stock levels, energy costs, and currency fluctuations influence zinc pricing in industries like construction and automotive.

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

In 2023, the average price for zinc stood at 3,653 nominal U.S. dollars per metric ton. This statistic depicts the average annual prices for zinc from 2014 to 2023, with forecast figures for 2024 through 2026.

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).

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).

Explore the factors influencing the current London Metal Exchange zinc prices, including supply-demand dynamics, industrial production levels, and macroeconomic trends. Understand how geopolitical tensions, inventory levels, and global sustainability efforts shape the zinc market, impacting industries from construction to automotive. Stay informed with the latest pricing insights for strategic decision-making in the commodities sphere.

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 DJ Commodity?

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 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.

Graph and download economic data for Producer Price Index by Commodity: Metals and Metal Products: Other Nonferrous Scrap (Including Lead, Zinc and Precious Metals) (WPU102303) from Jan 1957 to Jun 2025 about precious metals, zinc, lead, metals, commodities, PPI, inflation, price index, indexes, price, and USA.

In April 2023, the zinc price amounted to $3,408 per ton (CIF, US), declining by -4.4% against the previous month.

In 2021, the global zinc market increased by 13% to $X for the first time since 2018, thus ending a two-year declining trend. The market value increased at an average annual rate of +2.3% from 2012 to 2021; the trend pattern remained relatively stable, with only minor fluctuations being recorded throughout the analyzed period. Over the period under review, the global market reached the maximum level at $X in 2018; however, from 2019 to 2021, consumption remained at a lower figure.

The Development Prospects Group increases understanding by providing analytical services to the World Bank and the wider development community. Pink sheets are produced monthly and provide monthly, quarterly and annual data on the latest world bank commodity prices for a list of different commodities.

Website: http://www.worldbank.org/en/research/commodity-markets

Get ready for a surge in zinc prices in December 2022! Stay ahead of the game with our expert analysis and insights. Don't miss out on potential investment opportunities - read our article now.

In Q1 2025, the U.S. pharmaceutical-grade zinc powder market experienced a sustained downward pricing trend, reflecting prolonged oversupply conditions and restrained procurement activity. Prices opened January at USD 3,375 per MT CFR California and declined progressively through the quarter. Ample inventory accumulation in late 2024, driven by pre-tariff stocking ahead of anticipated trade policy shifts, contributed to the high availability that weighed on prices throughout the period.

The U.S. zinc market fell to $3.8B in 2024, which is down by -4.4% against the previous year. In general, the total consumption indicated a noticeable expansion from 2012 to 2024: its value increased at an average annual rate of +3.3% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption decreased by -11.2% against 2022 indices. As a result, consumption reached the peak level of $4.3B.

Graph and download economic data for Producer Price Index by Commodity: Metals and Metal Products: Lead and Zinc Ores (WPU102106) from Jun 2014 to Aug 2015 about zinc, lead, ore, metals, commodities, PPI, inflation, price index, indexes, price, and USA.

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

Explore how zinc prices are influenced by supply and demand dynamics, geopolitical factors, and economic indicators, focusing on trading practices at the London Metal Exchange and the role of speculative trading in price fluctuations.