Lithium traded flat at 73,550 CNY/T on September 30, 2025. Over the past month, Lithium's price has fallen 7.67%, and is down 3.86% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lithium - values, historical data, forecasts and news - updated on October of 2025.

In 2022, the average price of battery-grade lithium carbonate stood at ****** U.S. dollars per metric ton. This figure is by far the highest price for battery-grade lithium carbonate recorded in the period of consideration. For 2024, lithium carbonate price was estimated at ****** U.S. dollars per metric ton. Lithium is a highly reactive soft and silvery-white alkali metal. As the third element in the periodic table, it cannot be found in its pure form in nature. Lithium is the least dense of solid elements and the lightest out of all metals. Lithium and batteries One of lithium’s most well-known end uses is in lithium-ion batteries. Lithium-ion batteries are rechargeable and mostly used in portable electronics and electronic vehicles. In lithium-ion batteries, the lithium ions move from the negative electrode to positive electrode while in use, and the process is reversed while charging. These batteries are highly flammable but are also low-maintenance. They have a high energy density and a low self-discharge. Some drawbacks include the fact that they are expensive to manufacture, and that they require protection circuits to maintain the voltage safely. Lithium-ion batteries are also the single-largest end use of lithium, amounting to an ** percent share of global lithium consumption in 2024. Lithium demand forecasts Looking to the future, lithium demand is forecast to stand at *** million tons by 2025. This growth will be mainly driven by lithium-ion battery demand for electric vehicles. Demand is expected to remain the highest in China, which will consistently account for half of global lithium-ion battery demand.

Why did the Lithium Carbonate Price Change in July 2025? The Lithium Carbonate Price Index in the U.S. averaged USD 9,357/MT DDP USGC in Q2 2025, continuing a downward trajectory from earlier in the year as battery producers curtailed spot purchases.

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.

Lithium Americas (LAC): Are batteries igniting growth?

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

Why did the Lithium Metal Price Change in July 2025? The Lithium Metal Price Index in the U.S. declined by 6.8% quarter-over-quarter in Q2 2025, reflecting a volatile and bifurcated market. While April and May were dominated by bearish sentiment tied to global oversupply and soft EV demand

The lithium-ion battery pack price dropped to *** U.S. dollars per kilowatt-hour in 2024, down from over *** dollars per kilowatt-hour a year earlier. Lithium-ion batteries are one of the most efficient energy storage devices worldwide. Over recent years, high-scale production and capital investment into the battery production process have made lithium-ion battery packs cheaper and more efficient. This demonstrates a staggering demand for energy storage worldwide and could be attributed to the fact that the world is moving towards a renewable energy-based economy where electric vehicles play an increasingly large role. Electric vehicle sales Individuals, organizations, and governments aim to reduce their environmental footprint as awareness about the consequences of climate change becomes more widespread. To contribute to a greener society, they promote the growth of the electric vehicle market to make transportation more sustainable and less polluting. When it comes to the sales volume of electric vehicles, the trend is staggeringly positive. For instance, global plug-in electric light vehicle (PEV) sales have progressively increased since 2015, surpassing **** million units sold in 2023. Environmental impact Incorrect disposal of Li-ion batteries can have a devastating environmental impact on the environment, sparking the need for recycling. The global market for lithium-ion battery recycling is expected to reach **** billion U.S. dollars by 2030. This figure compares to around *** billion U.S. dollars in 2023.

Index Time Series for Global X Battery Tech & Lithium ETF. The frequency of the observation is daily. Moving average series are also typically included. NA

China PPI: MoM: Mfg: Lithium lon Battery data was reported at 99.400 Prev Mth=100 in Jan 2025. This records a decrease from the previous number of 99.700 Prev Mth=100 for Dec 2024. China PPI: MoM: Mfg: Lithium lon Battery data is updated monthly, averaging 99.400 Prev Mth=100 from Jul 2023 (Median) to Jan 2025, with 14 observations. The data reached an all-time high of 100.300 Prev Mth=100 in Jul 2023 and a record low of 97.400 Prev Mth=100 in Jan 2024. China PPI: MoM: Mfg: Lithium lon Battery data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IE: Producer Price Index: Previous Month=100.

Graph and download economic data for Nasdaq Sprott Lithium Miners Index (NASDAQNSLITP) from 2022-12-19 to 2025-09-19 about NASDAQ, mining, indexes, and USA.

Graph and download economic data for Producer Price Index by Industry: Primary Battery Manufacturing: Primary Batteries (PCU3359123359120) from Jun 2003 to Dec 2022 about primary, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

Graph and download economic data for Producer Price Index by Industry: Storage Battery Manufacturing (PCU3359133591) from Dec 2003 to Aug 2025 about manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

Japan EPI: W: EEP: EME: Oth: Lithium Ion Batteries data was reported at 6.700 Per 1000 in Apr 2022. This stayed constant from the previous number of 6.700 Per 1000 for Mar 2022. Japan EPI: W: EEP: EME: Oth: Lithium Ion Batteries data is updated monthly, averaging 6.700 Per 1000 from Jan 2010 (Median) to Apr 2022, with 148 observations. The data reached an all-time high of 6.700 Per 1000 in Apr 2022 and a record low of 6.700 Per 1000 in Apr 2022. Japan EPI: W: EEP: EME: Oth: Lithium Ion Batteries data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I143: Export Price Index: 2015=100: Weight.

Compared to 2020, global lithium demand is forecast to grow significantly by 2040 under the Sustainable Development Scenario, by nearly 42 times the demand volume in 2020. Demand for graphite is also expected to grow considerably in that timeframe under the Sustainable Development Scenario, at about 25 times the demand volume of 2020.

Why did the Lithium Metal Price Change in May 2025? The Lithium Metal Price Index in North American market ended Q1 2025 settling at USD 163,210/MT FOB Boston, demonstrating a moderate increase from Q4 2024.

China PPI: Mfg: Lithium lon Battery data was reported at 88.400 Prev Year=100 in Nov 2023. China PPI: Mfg: Lithium lon Battery data is updated monthly, averaging 88.400 Prev Year=100 from Nov 2023 (Median) to Nov 2023, with 1 observations. The data reached an all-time high of 88.400 Prev Year=100 in Nov 2023 and a record low of 88.400 Prev Year=100 in Nov 2023. China PPI: Mfg: Lithium lon Battery data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IE: Producer Price Index: Same Month PY=100.

Graph and download economic data for Nasdaq Sprott Lithium Miners Net Total Return Index (NASDAQNSLITPN) from 2022-12-19 to 2025-09-22 about return, NASDAQ, mining, Net, indexes, 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.

Atlantic Lithium: Lithium Surge Ahead? (ALLI)

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

Why did the Lithium Hydroxide Price Change in July 2025? The Lithium Hydroxide Spot Price Index in the U.S. dropped by 3.2% in Q2 2025, with prices declining to USD 8,600/MT by the end of June.

The global lithium medication market is experiencing steady growth, projected to maintain a Compound Annual Growth Rate (CAGR) of 5% from 2025 to 2033. While the precise market size for 2025 isn't provided, considering the presence of major pharmaceutical players like Bristol-Myers Squibb, Pfizer, and Eli Lilly, and a projected CAGR, a reasonable estimate for the 2025 market size would be in the range of $2.5 billion to $3 billion. This signifies substantial market value and underscores the importance of lithium in treating specific mental health conditions. The market's growth is driven by factors such as the increasing prevalence of bipolar disorder and other mood disorders, coupled with growing awareness and improved diagnosis rates. Furthermore, ongoing research into the efficacy and safety of lithium, including exploring novel delivery methods to mitigate side effects, is expected to contribute to market expansion. However, challenges such as the narrow therapeutic index of lithium, necessitating close monitoring of blood levels, and potential side effects like kidney problems, act as restraints. The market segmentation likely reflects various formulations (e.g., extended-release), administration routes, and geographic regions. The involvement of numerous pharmaceutical companies suggests a competitive landscape characterized by innovation in drug delivery and development of more targeted therapies. The historical period (2019-2024) likely saw a market size somewhat smaller than the 2025 estimate, with growth reflecting market maturation and increased adoption. Future growth will likely depend on advancements in treatment strategies, increased accessibility, and effective management of potential side effects. The forecast period (2025-2033) offers opportunities for companies to capitalize on market expansion through strategic partnerships, investments in research and development, and the development of innovative, patient-centric solutions.

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.

Zinnwald Lithium (ZNWD): Lithium's Future Electrical?

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