Uranium rose to 71.75 USD/Lbs on July 11, 2025, up 0.35% from the previous day. Over the past month, Uranium's price has risen 2.87%, but it is still 16.72% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Uranium - values, historical data, forecasts and news - updated on July of 2025.

In December 2024, the global average price per pound of uranium stood at roughly 60.22 U.S. dollars. Uranium prices peaked in June 2007, when it reached 136.22 U.S. dollars per pound. The average annual price of uranium in 2023 was 48.99 U.S. dollars per pound. Global uranium production Uranium is a heavy metal, and it is most commonly used as a nuclear fuel. Nevertheless, due to its high density, it is also used in the manufacturing of yacht keels and as a material for radiation shielding. Over the past 50 years, Kazakhstan and Uzbekistan together dominated uranium production worldwide. Uranium in the future Since uranium is used in the nuclear energy sector, demand has been constantly growing within the last years. Furthermore, the global recoverable resources of uranium increased between 2015 and 2021. Even though this may appear as sufficient to fulfill the increasing need for uranium, it was forecast that by 2035 the uranium demand will largely outpace the supply of this important metal.

The global ion exchange resins for uranium recovery market is estimated to reach USD XX million by 2033, growing at a CAGR of XX% during the forecast period (2025-2033). The increasing demand for uranium in the nuclear energy industry is the primary driver of the market's growth. Uranium is a key component in nuclear reactors, and its recovery from uranium-bearing materials is essential for nuclear power generation. Ion exchange resins provide a cost-effective and efficient method for uranium recovery, making them a preferred choice in the nuclear industry. The growth of the market is also supported by the rising awareness of uranium добыча, particularly in countries with growing nuclear power programs. The development of new ion exchange resins with improved selectivity and efficiency further supports the market's expansion. Gel-type and macroporous-type resins are the two main types of ion exchange resins used in uranium recovery. Gel-type resins have a uniform pore structure, while macroporous resins have a larger pore size and surface area. Both types of resins have their advantages and disadvantages, and the choice of resin depends on the specific application and uranium recovery requirements.

Graph and download economic data for Global price of Uranium (PURANUSDM) from Jan 1990 to Apr 2025 about uranium, World, and price.

The global ion exchange resins for uranium recovery market is estimated to be valued at USD XX million in 2025 and is projected to grow at a CAGR of XX% from 2025 to 2033. The market is driven by the increasing demand for uranium for nuclear power generation and the need for efficient and cost-effective methods for uranium recovery from various sources, such as mine waters, industrial wastewater, and nuclear waste. The rising environmental concerns associated with traditional uranium mining and processing methods have also encouraged the adoption of ion exchange resins for uranium recovery. The key trends in the ion exchange resins for uranium recovery market include the development of advanced resins with higher selectivity, capacity, and durability, the optimization of ion exchange processes to improve efficiency and reduce costs, and the integration of ion exchange with other technologies, such as membrane filtration and solvent extraction, to enhance uranium recovery rates. The market is dominated by a few major players, including DuPont, Purolite, and Zhejiang Zhengguang Industrial, who offer a range of ion exchange resins tailored to the specific requirements of uranium recovery applications. Regional variations in uranium production and demand are also expected to influence the market growth in different regions.

Report of Ion Exchange Resins for Uranium Recovery is covering the summarized study of several factors encouraging the growth of the market such as market size, market type, major regions and end user applications. By using the report customer can recognize the several drivers that impact and govern the market. The report is describing the several types of Ion Exchange Resins for Uranium Recovery Industry. Factors that are playing the major role for growth of specific type of product category and factors that are motivating the status of the market.

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.

Uranium Energy (YCA): The Sun's Yellow Cake, or Just a Fool's Gold Investment?

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

If I were to boil the thesis down to a few bullets, I’d say: Uranium is an essential input for nuclear reactors with no substitute. Following the Fukushima disaster, there was a massive supply glut as reactors were taken offline due to safety concerns Now a supply crunch is looming, with a current market deficit of ~40m lbs Nuclear power plants usually contract uranium supplies several years out before their inventory gets run down. Due to the oversupply coming out of the previous cycle, however, they have been purchasing additional supply needs in the spot market instead of contracting years in advance. 13f filings indicate that the power plants’ coverage rates (contracted lbs of uranium supply / lbs of uranium required) are beginning to trend below 100%, indicating utilities have less locked-in supply than they need to keep running their reactors, at a time when market supply is tightening (note utilities typically look to maintain coverage ratios well above 100% to ensure no unforeseen shortfalls) Global demand for uranium is increasing, with ~56 new reactors under construction an a further 99 in planning currently. Nuclear power currently generates ~10% of the world’s electricity but with the closure of coal and fossil fuel power plants due to ESG considerations, nuclear energy is increasingly being seen as the only viable way to make up up the lost energy capacity. Putting all of this together, a fundamental supply/demand imbalance for an essential commodity with price insensitive buyers and ESG tailwinds makes the bull case extremely compelling. But a picture is worth a thousand words, so some historic charts probably best provide a sense of the future upside expected in the next cycle. Using the data of form 8k, at the peak of the previous uranium bull market in 2007 (when there was no supply deficit) the uranium spot price reached ~$136/lb after a run up from ~$15/share at the start of 2004 (~9x increase). Today the current price is ~$42/lb with the view that the price will reach new highs in this coming cycle: Many uranium investors, based on the majority of form 10q, focus on the miners rather than the commodity as being the way to play the new uranium bull market, as these are more levered to price increases in the underlying commodity. The share price for Canadian-based Cameco Corporation (CCO / CCJ, the second largest uranium producer in the world) increased from USD $3/share to $55/share ( ~18x bagger) during the previous bull market from ~2004 – 2007: While Cameco’s performance was impressive, it was not the biggest winner during the previous uranium bull market. Australian miner Paladin Energy ($PALAF) went from AUD $0.01 to AUD $10.70 (~1000x! ) between late 2003 and the market peak in Q1 2007, according to their stock price in Google Sheets: Similar multibagger returns for uranium stocks will be seen again if a new bull market in uranium materializes in the coming 2-3 years when utilities’ uranium supply falls to inoperable levels & they begin contracting again for new supplies. Based on SEC form 4, Paladin in particular is expected to be big winner in any new bull market, as it operates one of the lowest cost uranium mines in the world, the Langer Heinrich mine in Namibia, which was a fully producing mine before being idled in the last bear market. As such, it is a ready-to-go miner rather than a speculative prospect, and so is in a position to immediately capitalise on an uptick in uranium prices and a new contracting cycle with utilities. Given the extent of the structural supply/demand imbalance (which again wasn’t present during the previous bull market) combined with utilities likely becoming forced purchasers of uranium at almost any price, market commentators are forecasting the uranium spot price to reach highs of up to $150/lb, thus enabling the producers to contract at price levels 3x+ the current spot price, driving a massive increase in profitability and cash flows. With some very interesting dynamics and the sprott uranium trust acting as a catalyst, I think the uranium market has the potential to offer a really unique and asymmetric return over the next 2 years. To reproduce this analysis, use this guide on how to get stock price in Excel. You will also need high-quality stock data, I recommend you check out Finnhub Stock Api Cheers!

Uranium Hexafluoride is a chemical compound used in manufacturing nuclear fuel for commercial power plants. It is formed by combining two naturally occurring elements - uranium and fluorine - to form uranium hexafluoride. The unique physical and chemical properties of UF6 allow natural uranium to be processed into fuel for nuclear rectors. UF6 is routinely and safely transported across the United States and around the world.

At the commencement of investigations into the chemical extraction of uranium from Radium Rill concentrates, the accented procedure for the elution and precipitation of the uranium after the ion exchange adsorption cycle involved the use of either... At the commencement of investigations into the chemical extraction of uranium from Radium Rill concentrates, the accented procedure for the elution and precipitation of the uranium after the ion exchange adsorption cycle involved the use of either ammonium chloride or nitrate solution and ammonia. Eluent was prepared either as a solution of ammonium chloride in hydrochloric acid or ammonium nitrate in nitric acid, and the resulting eluate neutralized with ammonia to produce 'so-called' ammonium uranate. These reagents are relatively expensive in Australia. Investigation of a more economic procedure was therefore undertaken. A considerable amount of work was done in studying the elution with the result that the standard eluent adopted for the process was 1 Molar sodium chloride, 0.05 Molar sulphuric acid. This report presents the results of some' investigations into the precipitation of the-product from the resulting eluate. The precipitation study cannot be entirely divorced from the elution in that changes of the one are reflected in the other. This fact should be appreciated before applying any results to a particular set of conditions. At the time this work was undertaken, little reported information was available on the use of various precipitants for this specific duty. A number of reports had appeared, however, on the precipitation of uranium from various acid liquors (1, 2, 3, 4, 5, 6, 7), and one (6) was found particularly useful in outlining some of the fundamental processes involved in precipitating uranium from sulphate solutions.

Measurements of uranium concentration and the 234U/238 U activity ratio in oceanic basalts which have undergone low-temperature seafloor alteration indicate that uranium uptake is a pervasive occurrence but that the various phases involved behave differently with respect to this process. Palagonite exhibits uranium contents 8-20 times higher than unaltered glass coupled with low 234U/238U, suggesting ongoing preferential leaching of 234U. Altered crystalline interiors of several old basalts have 234U/238U > 1, indicative of recent uranium exchange with seawater. The data also provide evidence for uranium sources with 234U/238U higher than the seawater value of 1.14. Manganese crusts on basalts of a variety of ages have isotopic ratios indicating that they either are recent deposits or also have experienced continuing uranium exchange with seawater.

Uranium Resources return on tangible equity from 2010 to 2025. Return on tangible equity can be defined as the amount of net income returned as a percentage of shareholders equity, after subtracting intangible assets, goodwill and preferred equity.

This data upload includes a compilation of experiments for quantifying uranium adsorption onto quartz. The provided .csv file has been compiled from the literature in a findable, accessible, interoperable, reusable (FAIR) data format. This was accomplished using the Lawrence Livermore National Laboratory Surface Complexation Database Converter (SCDC) code written in the R programming language (free licensing available at https://ipo.llnl.gov/technologies/software/llnl-surface-complexation-database-converter-scdc). This constitutes all current data compiled on uranium-quartz interactions in the L-SCIE (LLNL Surface Complexation/Ion Exchange) database (as of 02/28/2022). This data was used to develop surface complexation models that fit the global community dataset (https://doi.org/10.1021/acs.est.1c07109). The FAIR-formatted dataset also enables the implementation of alternative machine-learning approaches that can be explored in the future.

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.

Uranium Royalty Corp. (UROY): Will the King of Nuclear Energy Power its Way to Success?

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 elimination of uranium from radioactive wastewater is crucial for the safe management and operation of environmental remediation. Here, we present a layered vanadate with high acid/base stability, [Me2NH2]V3O7, as an excellent ion exchanger capturing uranyl from highly complex aqueous solutions. The material possesses an indirect band gap, ferromagnetic characteristic and a flower-like morphology comprising parallel nanosheets. The layered structure of [Me2NH2]V3O7 is predominantly upheld by the H-bond interaction between anionic framework [V3O7]nn– and intercalated [Me2NH2]+. The [Me2NH2]+ within [Me2NH2]V3O7 can be readily exchanged with UO22+. [Me2NH2]V3O7 exhibits high exchange capacity (qm = 176.19 mg/g), fast kinetics (within 15 min), high removal efficiencies (>99%), and good selectivity against an excess of interfering ions. It also displays activity for UO22+ ion exchange over a wide pH range (2.00–7.12). More importantly, [Me2NH2]V3O7 has the capability to effectively remove low-concentration uranium, yielding a residual U concentration of 13 ppb, which falls below the EPA-defined acceptable limit of 30 ppb in typical drinking water. [Me2NH2]V3O7 can also efficiently separate UO22+ from Cs+ or Sr2+ achieving the highest separation factors (SFU/Cs of 589 and SFU/Sr of 227) to date. The BOMD and DFT calculations reveal that the driving force of ion exchange is dominated by the interaction between UO22+ and [V3O7]nn–, whereas the ion exchange rate is influenced by the mobility of UO22+ and [Me2NH2]+. Our experimental findings indicate that [Me2NH2]V3O7 can be considered as a promising uranium scavenger for environmental remediation. Additionally, the simulation results provide valuable mechanistic interpretations for ion exchange and serve as a reference for designing novel ion exchangers.

The U. S. Department of Energy has an ongoing interest in all aspects of energy: its uses, sources, costs, and availability, Continuing depletion of higher grade U.S. reserves of uranium to supply escalating energy requirements has provided the motivation to examine more closely other possible sources of uranium. One of these is the long-known Chattanooga Shale resource of large tonnage but low grade in the east-central United States.

A direct fluorimetric method is applied to effluent sulphate leach liquors to detect break-through of uranium during adsorption on ion exchange columns. Method is simple and rapid. A direct fluorimetric method is applied to effluent sulphate leach liquors to detect break-through of uranium during adsorption on ion exchange columns. Method is simple and rapid.

Yellow Cake predicted to experience steady growth with moderate risk. Favorable market conditions, increasing demand for uranium, and a strong track record of dividend payments support positive predictions. However, fluctuations in the uranium market and macroeconomic factors pose potential risks to investors.

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Uranium Resources roe - return on equity from 2010 to 2025. Roe - return on equity can be defined as the amount of net income returned as a percentage of shareholders equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.