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.

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).

China Warehouse Stock: Shanghai Future Exchange: Zinc data was reported at 1,600.000 Ton in 13 May 2025. This records a decrease from the previous number of 1,903.000 Ton for 12 May 2025. China Warehouse Stock: Shanghai Future Exchange: Zinc data is updated daily, averaging 48,982.000 Ton from Oct 2008 (Median) to 13 May 2025, with 4034 observations. The data reached an all-time high of 363,267.000 Ton in 08 Aug 2011 and a record low of 25.000 Ton in 13 Dec 2022. China Warehouse Stock: Shanghai Future Exchange: Zinc 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: Stock.

Graph and download economic data for Slab Zinc Stocks at Refineries for United States (M0558CUSM601NNBR) from Dec 1942 to Aug 1956 about zinc, inventories, metals, 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.

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

China Lead & Zinc Smelting: Product Inventory data was reported at 14.143 RMB bn in Oct 2015. This records an increase from the previous number of 13.886 RMB bn for Sep 2015. China Lead & Zinc Smelting: Product Inventory data is updated monthly, averaging 13.629 RMB bn from Dec 2001 (Median) to Oct 2015, with 99 observations. The data reached an all-time high of 17.796 RMB bn in Aug 2012 and a record low of 1.431 RMB bn in Dec 2002. China Lead & Zinc Smelting: Product Inventory data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHU: Common Non Ferrous Metal Smelting: Lead and Zinc Smelting.

Explore the dynamics of LME zinc stocks and their impact on global market pricing, influenced by geopolitical tensions, industrial demand shifts, recycling efforts, and technological advancements in mining and smelting. Understand how these factors affect inventory levels in LME warehouses and what it means for market participants.

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.

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

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.

Japan Zinc: Inventory Quantity data was reported at 35,589.000 Ton in Jun 2020. This records a decrease from the previous number of 35,828.000 Ton for May 2020. Japan Zinc: Inventory Quantity data is updated monthly, averaging 27,934.000 Ton from Jan 2014 (Median) to Jun 2020, with 78 observations. The data reached an all-time high of 43,391.000 Ton in Jun 2015 and a record low of 16,355.000 Ton in Oct 2018. Japan Zinc: Inventory Quantity data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.C083: Non-Ferrous Metals: Sales and Inventory.

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

Forecast: Producer and Consumer Reported Stocks of Refined Zinc in the US 2024 - 2028 Discover more data with ReportLinker!

In 2021, the Toxic Release Inventory (TRI) program recorded the disposal or release of approximately *** million pounds of zinc fume or dust and around ***** million pounds of zinc compounds by facilities in the in the United States. Among these figures, *** thousand pounds of zinc was transferred off-site for disposal or other releases, utilizing methods such as mixing the waste with soil, piling it up, spilling or leaking it, or storing it in uncovered holding areas.

Zinc and zinc compounds are included in the Toxic Release Inventory (TRI) program as elevated exposure to zinc poses significant human-health risks such as respiratory problems, gastrointestinal issues, and potential environmental harm.

Zinc Coated Steel Coil: Social Inventory: Jiangxi: Nanchang data was reported at 0.470 Ton tt in 02 May 2025. This records a decrease from the previous number of 0.530 Ton tt for 25 Apr 2025. Zinc Coated Steel Coil: Social Inventory: Jiangxi: Nanchang data is updated daily, averaging 0.620 Ton tt from Sep 2016 (Median) to 02 May 2025, with 445 observations. The data reached an all-time high of 0.950 Ton tt in 03 May 2024 and a record low of 0.000 Ton tt in 07 Jul 2017. Zinc Coated Steel Coil: Social Inventory: Jiangxi: Nanchang data remains active status in CEIC and is reported by Shandong Longzhong Information Technology Co., Ltd.. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAT: Coating.

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.

Toho Zinc reported JPY36.7B in Stock for its fiscal quarter ending in September of 2024. Data for Toho Zinc | 5707 - Stock including historical, tables and charts were last updated by Trading Economics this last July in 2025.

This dataset is about stocks. It has 2 rows and is filtered where the company is Toho Zinc. It features 8 columns including stock name, company, exchange, and exchange symbol.

Toho Zinc reported JPY9.98B in Cash and Equivalent for its fiscal quarter ending in December of 2024. Data for Toho Zinc | 5707 - Cash And Equivalent including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Zinc Coated Steel Coil: Social Inventory: Shandong: Jinan data was reported at 0.350 Ton tt in 02 May 2025. This records a decrease from the previous number of 0.380 Ton tt for 25 Apr 2025. Zinc Coated Steel Coil: Social Inventory: Shandong: Jinan data is updated daily, averaging 0.520 Ton tt from Sep 2016 (Median) to 02 May 2025, with 447 observations. The data reached an all-time high of 1.500 Ton tt in 28 Feb 2020 and a record low of 0.200 Ton tt in 04 Nov 2016. Zinc Coated Steel Coil: Social Inventory: Shandong: Jinan data remains active status in CEIC and is reported by Shandong Longzhong Information Technology Co., Ltd.. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAT: Coating.