The revenue of Supreme with headquarters in the United Kingdom amounted to 221.25 million British pounds in 2023. The reported fiscal year ends on ********.Compared to the earliest depicted value from 2019 this is a total increase by approximately 128.92 million British pounds. The trend from 2019 to 2023 shows ,furthermore, that this increase happened continuously.

The gross profit of The Supreme Industries Limited with headquarters in India amounted to ***** billion Indian rupees in 2023. The reported fiscal year ends on March 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately **** billion Indian rupees. The trend from 2020 to 2023 shows, furthermore, that this increase happened continuously.

The online revenue of supreme.com amounted to US$108.6m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

UAB "Supreme supply" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

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.

Supreme Streetwear (SUP) - Ready to Take Off?

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 online revenue of supremenewyork.com amounted to US$91.5m in 2022. Discover eCommerce insights, including sales development, shopping cart size, and many more.

Global Supreme 10Ht market size 2025 was XX Million. Supreme 10Ht Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

Global Supreme 3Htnd 2Gt market size 2025 was XX Million. Supreme 3Htnd 2Gt Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

The revenue of Supreme Petrochem Limited with headquarters in India amounted to ***** billion Indian rupees in 2023. The reported fiscal year ends on March 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately ***** billion Indian rupees. The trend from 2020 to 2023 shows, however, that this increase did not happen continuously.

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.

Supreme (SUP) Stock: A Streetwear Star or a Fashion Flop?

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

Superior Plus reported CAD702.3M in Sales Revenues for its fiscal quarter ending in December of 2024. Data for Superior Plus | SPB - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last August in 2025.

The gross profit of Superior Industries with headquarters in the United States amounted to ****** million U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately **** million U.S. dollars. The trend from 2020 to 2024 shows, however, that this increase did not happen continuously.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Superior, WI, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 14,464, while the mean income for the highest quintile (20% of households with the highest income) is 182,040. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 280,477, which is 154.07% higher compared to the highest quintile, and 1939.14% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Superior median household income. You can refer the same here

According to Cognitive Market Research, the global Aquaculture Market size will be XX million by 2030, whereas its compound annual growth rate (CAGR) will be XX% from 2024 to 2031.

Asia Pacific held the largest share of the global Aquaculture market around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
Europe accounted for a share of over XX% of the global market size of USD XX million.
North America held a market share of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
The Latin American market is around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
Middle East and Africa held the major market of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.

Market Dynamics of the Aquaculture Market

Key Drivers of the Aquaculture Market

The market is being driven by an increase in demand for seafood products

The growing market for seafood products is being delved into by the business. While other wild fisheries are becoming depleted, this can be sustained by dietary choices that cannot be satisfied by the overfished conventional fisheries.

• For Instance: On Feb 28, 2024 - According to a research titled "Fish Consumption in India: Patterns and Trends," which was published by WorldFish, the Ministry of Agriculture and Farmers' Welfare, the Indian Council of Agricultural Research, the Government of India, and other organizations, 967 million people, or 72.1% of the country's population, ate fish.

https://worldfishcenter.org/press-release/tripura-reigns-supreme-indias-fish-consumption-league-new-study-shows#:~:text=The%20study%2C%20%22Fish%20Consumption%20in,to%20966.9%20million%20individuals%2C%20incorporate

Primary data for the study were gathered from several government sources, including reports from the National Family Health Survey, which spanned around 15 years.

On the other hand, aquaculture is a capable and sustainable producer that can provide a large number of highly desired aquatic species. Because of the nutritious benefits of fish, people are also including it in their meals on a factual basis. In addition, a lot of people are switching to seafood because of its omega-3 fatty acids and low-fat content. Furthermore, the rapidly expanding global middle class which is primarily found in emerging markets is earning more money and is now able to afford seafood. As a result, this is driving up the price of aquaculture. Consequently, this is improving the prognosis for the aquaculture sector even more.

The market is growing as a result of international export and geographic expansion

By venturing into new regions, businesses can increase the size of their clientele and revenue streams. By diversifying their operations, businesses can become less dependent on any one market and become more resilient to local or regional economic downturns and disturbances. New clients bring in new markets, and vice versa. Revenue growth may result from target markets having a high demand for the products or services offered.

Reaching global expansion can reduce the cost per unit of manufacturing and distribution by realizing economies of scale. This is particularly beneficial for industries with high fixed costs. Advances in supply chain management, communication, and transportation have made international expansion more feasible and economical. Companies can communicate with distant partners and clients more readily. Businesses may gain a competitive edge by entering new markets, particularly if they offer cutting-edge goods or services that are hard to come by in those areas.

• For Instance: According to the Food and Agriculture Organization (FAO) of the United Nations, in recent decades there has been a notable expansion in the international trade of aquatic products across many continents and regions. Globalization-related economic growth as well as advances in culture and technology have played a major role in this spread.

https://openknowle...

This dataset tracks annual total revenue from 1990 to 2021 for Superior School District

Introduction

Amazon vs eBay Statistics: Amazon and eBay are among the most influential e-commerce platforms worldwide. In 2024, both enjoyed a massive consumer base and billions in revenues. Amazon reigned supreme in raw sales and U.S. share of marketing, with eBay successfully holding the niche as well as the global active users' corner.

This article offers thorough Amazon vs eBay statistics —revenue, user activity, market presence, and profitability—and paints a clear picture of their comparison in 2025.

Guangdong: Zhongshan: Govt Revenue: Transfer Revenue: Subsidy from Superior: Special Transfers data was reported at 1,490.000 RMB mn in 2023. This records an increase from the previous number of 1,180.000 RMB mn for 2022. Guangdong: Zhongshan: Govt Revenue: Transfer Revenue: Subsidy from Superior: Special Transfers data is updated yearly, averaging 1,180.000 RMB mn from Dec 2016 (Median) to 2023, with 5 observations. The data reached an all-time high of 1,786.570 RMB mn in 2016 and a record low of 689.630 RMB mn in 2020. Guangdong: Zhongshan: Govt Revenue: Transfer Revenue: Subsidy from Superior: Special Transfers data remains active status in CEIC and is reported by Zhongshan Municipal Finance Bureau. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FC: General Public Budget Revenue & Expenditure: Guangdong.

Fujian: Quanzhou: Govt Revenue: Transfer Revenue: Subsidy from Superior: General Transfers data was reported at 19,737.650 RMB mn in 2023. This records an increase from the previous number of 17,490.950 RMB mn for 2022. Fujian: Quanzhou: Govt Revenue: Transfer Revenue: Subsidy from Superior: General Transfers data is updated yearly, averaging 12,799.870 RMB mn from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 19,737.650 RMB mn in 2023 and a record low of 6,289.520 RMB mn in 2016. Fujian: Quanzhou: Govt Revenue: Transfer Revenue: Subsidy from Superior: General Transfers data remains active status in CEIC and is reported by Quanzhou Municipal Finance Bureau. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FC: General Public Budget Revenue & Expenditure: Fujian.

Guangdong: Zhuhai: Govt Revenue: Transfer Revenue: Subsidy from Superior: Special Transfers data was reported at 1,580.680 RMB mn in 2023. This records a decrease from the previous number of 1,939.030 RMB mn for 2022. Guangdong: Zhuhai: Govt Revenue: Transfer Revenue: Subsidy from Superior: Special Transfers data is updated yearly, averaging 1,939.030 RMB mn from Dec 2016 (Median) to 2023, with 7 observations. The data reached an all-time high of 3,862.750 RMB mn in 2017 and a record low of 1,516.160 RMB mn in 2021. Guangdong: Zhuhai: Govt Revenue: Transfer Revenue: Subsidy from Superior: Special Transfers data remains active status in CEIC and is reported by Zhuhai Finance Bureau. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FC: General Public Budget Revenue & Expenditure: Guangdong.

MOF Forecast: Union Budget: Expenditure: MLJ: Supreme Court of India: Revenue data was reported at 2,694.600 INR mn in 2020. This records an increase from the previous number of 2,585.300 INR mn for 2019. MOF Forecast: Union Budget: Expenditure: MLJ: Supreme Court of India: Revenue data is updated yearly, averaging 636.300 INR mn from Mar 1997 (Median) to 2020, with 24 observations. The data reached an all-time high of 2,694.600 INR mn in 2020 and a record low of 159.300 INR mn in 1997. MOF Forecast: Union Budget: Expenditure: MLJ: Supreme Court of India: Revenue data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under India Premium Database’s Government and Public Finance – Table IN.FB006: Union Budget: Expenditure: by Ministry. 2019 – Budget estimate 2018 – Revised estimate