Zinc fell to 2,860.40 USD/T on July 24, 2025, down 0.15% from the previous day. Over the past month, Zinc's price has risen 5.58%, and is up 6.69% 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 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).

Graph and download economic data for Global price of Zinc (PZINCUSDQ) from Q1 1990 to Q2 2025 about zinc, World, metals, and price.

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 price of zinc is forecast to increase to **** U.S. dollars per pound by 2028, from an estimated price of **** U.S. dollars per pound in 2020. Zinc is a base metal with many uses, including used to galvanise other metals. Zinc oxide is used in the manufacturing of products such as batteries, paint, inks, soaps, pharmaceuticals, and more.

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 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 price of zinc in North America stood at around 1.44 U.S. dollars per pound in 2024. Zinc metal is a base metal which – among other things – is used as a material in the manufacture of smartphones.

This statistic depicts the average monthly prices for zinc worldwide from January 2014 through June 2025. In June 2025, the average monthly price for zinc worldwide stood at ******** nominal U.S. dollars per metric ton.

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.

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.

Why did the Zinc Ingot Price Change in May 2025? The Zinc Ingot Price Index in North American market settled in Q1 2025 at USD 3,448/MT CFR Illinois Port, demonstrating a 1.5% increase quarter-on-quarter in comparison to Q4 2024.

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.

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.

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 ---

In the third quarter (Q3) of 2024, the global price of zinc amounted to nearly 2,800 U.S. dollars per metric ton. That was a slight decrease from the previous quarter. Furthermore, it is expected that over the next decade, the global zinc demand for renewable energy technologies will increase.

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

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