Zinc fell to 2,737.50 USD/T on July 11, 2025, down 1.60% from the previous day. Over the past month, Zinc's price has risen 3.51%, but it is still 6.98% lower than a year ago, 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 in industries like construction, automotive, and electronics, including supply-demand dynamics, global stock levels, and macroeconomic influences.

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.

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).

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.

DJ Commodity Zinc 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

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 May 2025 about precious metals, zinc, lead, metals, commodities, PPI, inflation, price index, indexes, price, and USA.

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).

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

Analysis of ‘IMF Zinc Price Forecast Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yasserh/imf-zinc-price-forecast-dataset on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Description:

A simple yet challenging project, to forecast the IMF commodity price of Zinc, based on monthly totals zinc price recorded from 1980 to 2016. Can you overcome these obstacles & Forecast its future prices?

This data frame contains the following columns:

• Month : The month of observation
• Price : Average Prices of zinc in that particular month

Acknowledgement

This dataset is referred from Kaggle.

Objectives:

• Understand the Dataset & cleanup (if required).
• Perform the necessary checks like stationarity & DF on the Dataset.
• Build a forcasting model to forecast zinc prices.

--- Original source retains full ownership of the source dataset ---

Knoema provides access to the World Bank Commodity Price data through an online database tool. World Bank Commodity Prices are available through Knoema on an annual/monthly basis. Data are updated continuously.

Website: https://knoema.com/WBCPD2015Oct/world-bank-commodity-price-data-pink-sheet-monthly-update

In 2024, the average annual London Metal Exchange (LME) price for tin was approximately ** U.S. dollars per pound, making it the highest-priced base metal that year. Nickel had the *******highest price out of the base metals at that time, with an average annual LME price of approximately **** U.S. dollars per pound in 2024. Although there is no clear-cut definition of the term, base metals usually refer to metals that oxidize easily, and is most commonly categorized as including tin, nickel, copper, zinc, lead, and aluminum.

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 is a website that provides commodity prices and indices, The data are monthly and go back to 1980. The prices reported are in nominal U.S. dollars and are period averages. benchmark prices are reported which are representative of the global market, not for individual countries. They are determined by the largest exporter of a given commodity. Monthly data are updated on the Wednesday of the first full week of each month, and is posted on the website shortly afterwards.

Website:

http://www.imf.org/external/np/res/commod/index.aspx

China Settlement Price: Shanghai Future Exchange: Zinc: 1st M data was reported at 22,830.000 RMB/Ton in Apr 2025. This records a decrease from the previous number of 24,090.000 RMB/Ton for Mar 2025. China Settlement Price: Shanghai Future Exchange: Zinc: 1st M data is updated monthly, averaging 18,742.500 RMB/Ton from Mar 2007 (Median) to Apr 2025, with 218 observations. The data reached an all-time high of 32,410.000 RMB/Ton in Apr 2007 and a record low of 9,305.000 RMB/Ton in Dec 2008. China Settlement Price: Shanghai Future Exchange: Zinc: 1st M data remains active status in CEIC and is reported by Shanghai Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Settlement Price.

United States - Producer Price Index by Commodity: Metals and Metal Products: Other Nonferrous Castings (Excluding Die-Castings), Excluding Copper and Aluminum, Including Nickel and Zinc was 112.90000 Index Dec 2011=100 in December of 2020, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Metals and Metal Products: Other Nonferrous Castings (Excluding Die-Castings), Excluding Copper and Aluminum, Including Nickel and Zinc reached a record high of 112.90000 in April of 2020 and a record low of 100.00000 in December of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Metals and Metal Products: Other Nonferrous Castings (Excluding Die-Castings), Excluding Copper and Aluminum, Including Nickel and Zinc - last updated from the United States Federal Reserve on June of 2025.

United States - Producer Price Index by Commodity: Metals and Metal Products: Other Nonferrous Scrap (Including Lead, Zinc and Precious Metals) was 193.66100 Index Jun 2006=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Metals and Metal Products: Other Nonferrous Scrap (Including Lead, Zinc and Precious Metals) reached a record high of 317.60000 in May of 2021 and a record low of 63.50000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Metals and Metal Products: Other Nonferrous Scrap (Including Lead, Zinc and Precious Metals) - last updated from the United States Federal Reserve on July of 2025.

In Q1 2025, zinc oxide prices in the North American region recorded a quarter-on-quarter decline of 2.7% compared to Q4 2024. At the start of the quarter, prices trended downward as feedstock zinc ingot costs fell, easing production expenses. Supply chains remained stable, aided by the resolution of port strike threats, ensuring smooth logistics. However, demand was sluggish across key sectors, particularly automotive and industrial, where procurement slowed amid inflation concerns and trade policy uncertainties under the new U.S. administration.

Graph and download economic data for Producer Price Index by Commodity: Metals and Metal Products: Lead and Zinc Ores (WPU10210601) from Jun 2014 to Aug 2015 about zinc, lead, ore, metals, commodities, PPI, inflation, price index, indexes, price, and USA.