95 datasets found
  1. Average gross profit per employee by sector U.S. 2018

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Average gross profit per employee by sector U.S. 2018 [Dataset]. https://www.statista.com/statistics/1079021/average-gross-profit-employee-sector-us/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    United States
    Description

    According to a report by Casaleggio Associati, the energy sector had the highest average gross profit per employee in the United States in 2018. That year, the energy sector's average gross profit was *** million U.S. dollars per employee.

  2. Revenue per employee of professional services organizations worldwide...

    • statista.com
    Updated May 24, 2024
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    Statista (2024). Revenue per employee of professional services organizations worldwide 2013-2023 [Dataset]. https://www.statista.com/statistics/934306/professional-services-worldwide-revenue-per-employee/
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    Dataset updated
    May 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The average annual revenue per employee of professional services organizations worldwide fluctuated considerably between 2013 and 2023. In the 2023 survey, respondents reported an average revenue per employee of 170,000 U.S. dollars.

  3. Revenue per employee of leading tech companies 2024

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Revenue per employee of leading tech companies 2024 [Dataset]. https://www.statista.com/statistics/217489/revenue-per-employee-of-selected-tech-companies/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, Apple generated the highest revenue per employee amongst the leading tech companies (by market capitalization) with **** million U.S. dollars. Meta and NVIDIA were the only other companies with revenues per employee exceeding *** million U.S. dollars.

  4. Revenue per employee of software professional services firms worldwide...

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Revenue per employee of software professional services firms worldwide 2015-2022 [Dataset]. https://www.statista.com/statistics/936887/software-professional-services-worldwide-revenue-per-employee/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2022, the average revenue per employee of professional services within software companies was approximately 160,000 U.S. dollars per year. The average annual revenue per employee of professional services within software companies worldwide decreased between 2015 and 2022. Within this period, 2015 was the year where employees made the most revenue.

  5. U.S. chemical industry revenue per employee 2002-2022

    • statista.com
    • ai-chatbox.pro
    Updated May 22, 2024
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    Statista (2024). U.S. chemical industry revenue per employee 2002-2022 [Dataset]. https://www.statista.com/statistics/302013/us-chemical-industry-revenue-per-employee/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The revenue per employee in the U.S. chemical industry showed a remarkable increase in 2022. It rose to around 1.22 million U.S. dollars for each worker, compared to the 1.07 million U.S. dollars that was reported in the year before.

  6. w

    Distribution of revenues per employee type where industry equals Diversified...

    • workwithdata.com
    Updated May 6, 2025
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    Work With Data (2025). Distribution of revenues per employee type where industry equals Diversified REITs [Dataset]. https://www.workwithdata.com/charts/companies?agg=sum&chart=bar&f=1&fcol0=industry&fop0=%3D&fval0=Diversified+REITs&x=employee_type&y=revenues
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This bar chart displays revenues ($) by employee type using the aggregation sum. The data is filtered where the industry is Diversified REITs. The data is about companies.

  7. w

    Distribution of employees per revenue type where sector equals Information...

    • workwithdata.com
    Updated May 6, 2025
    + more versions
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    Work With Data (2025). Distribution of employees per revenue type where sector equals Information Technology [Dataset]. https://www.workwithdata.com/charts/companies?agg=sum&chart=bar&f=1&fcol0=sector&fop0=%3D&fval0=Information+Technology&x=revenue_type&y=employees
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This bar chart displays employees (people) by revenue type using the aggregation sum. The data is filtered where the sector is Information Technology. The data is about companies.

  8. w

    Distribution of revenues per employee type where sector equals Consumer...

    • workwithdata.com
    Updated May 6, 2025
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    Work With Data (2025). Distribution of revenues per employee type where sector equals Consumer Staples [Dataset]. https://www.workwithdata.com/charts/companies?agg=sum&chart=bar&f=1&fcol0=sector&fop0=%3D&fval0=Consumer+Staples&x=employee_type&y=revenues
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This bar chart displays revenues ($) by employee type using the aggregation sum. The data is filtered where the sector is Consumer Staples. The data is about companies.

  9. Revenue per employee of SaaS professional services organizations worldwide...

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Revenue per employee of SaaS professional services organizations worldwide 2015-2023 [Dataset]. https://www.statista.com/statistics/936949/saas-professional-services-worldwide-revenue-per-employee/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, the average annual revenue per employee of professional services within software as a service was roughly 175,000 U.S. dollars. The average annual revenue per employee of professional services within software as a service (SaaS) companies worldwide fluctuated considerably between 2015 and 2023. In 2023, employees generated approximately 50,000 U.S. dollars more than in 2015.

  10. Revenue per employee for IFB Industries FY 2014-2023

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Revenue per employee for IFB Industries FY 2014-2023 [Dataset]. https://www.statista.com/statistics/936235/india-ifb-industries-revenue-per-employee/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The revenue per employee for IFB Industries Limited was **** million Indian rupees in fiscal year 2023. It was a significant increase in comparison to the previous year. Originally called Indian Fine Banks Limited, the company is a white appliances manufacturer with engineering divisions in Kolkata and Bengaluru.

  11. w

    Distribution of employees per revenue type where industry equals Software

    • workwithdata.com
    Updated May 6, 2025
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    Work With Data (2025). Distribution of employees per revenue type where industry equals Software [Dataset]. https://www.workwithdata.com/charts/companies?agg=sum&chart=bar&f=1&fcol0=industry&fop0=%3D&fval0=Software&x=revenue_type&y=employees
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This bar chart displays employees (people) by revenue type using the aggregation sum. The data is filtered where the industry is Software. The data is about companies.

  12. d

    Number of Active Employees by Industry

    • catalog.data.gov
    • data.ct.gov
    • +2more
    Updated Jul 19, 2025
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    data.ct.gov (2025). Number of Active Employees by Industry [Dataset]. https://catalog.data.gov/dataset/number-of-active-employees-by-industry
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    Dataset updated
    Jul 19, 2025
    Dataset provided by
    data.ct.gov
    Description

    Number of active employees, aggregating information from multiple data providers. This series is based on firm-level payroll data from Paychex and Intuit, worker-level data on employment and earnings from Earnin, and firm-level timesheet data from Kronos. This data is compiled by Opportunity Insights. Data notes from Opportunity Insights: Data Source: Paychex, Intuit, Earnin, Kronos Update Frequency: Weekly Date Range: January 15th 2020 until the most recent date available. The most recent date available for the full series depends on the combination of Paychex, Intuit and Earnin data. We extend the national trend of aggregate employment and employment by income quartile by using Kronos timecard data and Paychex data for workers paid on a weekly paycycle to forecast beyond the end of the Paychex, Intuit and Earnin data. Data Frequency: Daily, presented as a 7-day moving average Indexing Period: January 4th - January 31st Indexing Type: Change relative to the January 2020 index period, not seasonally adjusted. More detailed documentation on Opportunity Insights data can be found here: https://github.com/OpportunityInsights/EconomicTracker/blob/main/docs/oi_tracker_data_documentation.pdf

  13. w

    Distribution of employees per revenue type where industry equals Broadline...

    • workwithdata.com
    Updated May 6, 2025
    + more versions
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    Work With Data (2025). Distribution of employees per revenue type where industry equals Broadline Retail [Dataset]. https://www.workwithdata.com/charts/companies?agg=sum&chart=bar&f=1&fcol0=industry&fop0=%3D&fval0=Broadline+Retail&x=revenue_type&y=employees
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This bar chart displays employees (people) by revenue type using the aggregation sum. The data is filtered where the industry is Broadline Retail. The data is about companies.

  14. Median revenue per number of employees of EU service sector companies in...

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Median revenue per number of employees of EU service sector companies in 2019 [Dataset]. https://www.statista.com/statistics/1172799/revenue-per-employee-in-the-eu-service-sector/
    Explore at:
    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    European Union
    Description

    In 2019, a Statista study on the European service sector showed that in 2019 domestic companies in the distribution services sector made a median revenue of approximately 350 thousand US dollars per employee.

  15. India South Indian Bank: Profit per Employee

    • ceicdata.com
    Updated Jun 12, 2017
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    CEICdata.com (2017). India South Indian Bank: Profit per Employee [Dataset]. https://www.ceicdata.com/en/india/private-sector-banks-selected-financial-ratios-south-indian-bank/south-indian-bank-profit-per-employee
    Explore at:
    Dataset updated
    Jun 12, 2017
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2007 - Mar 1, 2018
    Area covered
    India
    Variables measured
    Performance Indicators
    Description

    South Indian Bank: Profit per Employee data was reported at 0.400 % in 2018. This records a decrease from the previous number of 0.500 % for 2017. South Indian Bank: Profit per Employee data is updated yearly, averaging 0.380 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 0.800 % in 2013 and a record low of 0.015 % in 1999. South Indian Bank: Profit per Employee data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBN019: Private Sector Banks: Selected Financial Ratios: South Indian Bank.

  16. c

    Census of Service Industries, 1982: Geographic Area Series

    • archive.ciser.cornell.edu
    Updated Jan 19, 2020
    + more versions
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    Bureau of the Census (2020). Census of Service Industries, 1982: Geographic Area Series [Dataset]. http://doi.org/10.6077/q79v-pn61
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    Dataset updated
    Jan 19, 2020
    Dataset authored and provided by
    Bureau of the Census
    Variables measured
    GeographicUnit
    Description

    This data collection contains summary statistics for selected service industry establishments. The data are cross-tabulated by kind-of-business categories (based on the Standard Industrial Classification, or SIC, system) and include for establishments with payroll: the number of establishments for 1982, receipts or revenue for 1982, receipts or expenses for 1977, percent change in receipts or expenses for 1977-1982, payroll for the year for 1977 and 1982, the percent change in payroll 1977-1982, the payroll for the first quarter 1982, the number of paid employees for the week of March 12, 1982, receipts or revenue or expenses per establishment for 1982, receipts or revenue or expenses per employee for 1982, the number of employees per establishment for 1982, and the annual payroll per employee for 1982. Also included are 1977 non-employer data for number of establishments and receipts.

  17. d

    Company Data | 6.7MM+ Total Companies | Company Name, Industry, Employees,...

    • datarade.ai
    .json, .csv, .xls
    Updated Jun 8, 2023
    + more versions
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    Salutary Data (2023). Company Data | 6.7MM+ Total Companies | Company Name, Industry, Employees, Revenue, Website, Addresses + More [Dataset]. https://datarade.ai/data-products/salutary-data-company-data-4m-total-companies-company-salutary-data
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset authored and provided by
    Salutary Data
    Area covered
    United States of America
    Description

    Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

    We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

    What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

    Products: API Suite Web UI Full and Custom Data Feeds

    Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

  18. Human Resources & Benefits Administration in the US - Market Research Report...

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Human Resources & Benefits Administration in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/human-resources-benefits-administration-industry/
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    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Human resources and benefits administration companies have experienced significant turbulence recently due to shifting economic conditions. COVID-19 initially caused a dramatic slowdown in many sectors, which forced numerous companies to cut back on discretionary spending systems, including HR services, as organizations downscaled operations and pivoted to internal HR solutions. In 2020, this resulted in a slight revenue decline, though federal interventions like the Paycheck Protection Program (PPP) partially mitigated potential financial stressors. Afterward, as the economic recovery commenced and unemployment figures dwindled to more consistent levels, corporations slowly began reintegrating HR and benefits services into their business models, supporting a notable revenue rebound in 2022. Beginning in 2022, higher interest rates and increasing fears of an economic recession dampened corporate enthusiasm for external HR expenditure, resulting in falling revenue in 2023 and 2024. Despite these hindrances, the past five years also saw rapid technological advancements and increased adoption of AI and machine learning solutions, enabling service providers to innovate their offerings and gain a competitive edge in a saturated market. Concurrently, market share concentration has declined as more companies have entered the industry in expectation of rising revenue streams in the near future. This has bolstered internal competition, putting downward pressure on profit. Overall, revenue for human resources and benefits administration companies has inched upward at a CAGR of 1.0% over the past five years, reaching $88.9 billion in 2025. This includes a 0.5% decline in revenue in that year. Looking ahead, providers anticipate a more optimistic trajectory. As GDP growth maintains a steady pace, generating more employment opportunities, demand for comprehensive HR services will likely see an upturn. Economic uncertainty remains due to tariffs being recently implemented, which may affect GDP growth and corporations' performance. While substitute competition becomes more prevalent due to the increased attractiveness of internal HR services, cloud-based solutions will become essential. Demand for wellness and diversity, equity and inclusion (DEI) initiatives will also swell, requiring providers to adapt to these trends for competitive advantage. Overall, revenue for human resources and benefits administration businesses is forecast to mount at a CAGR of 2.3% over the next five years, reaching $99.8 billion in 2030.

  19. O

    Odate City's Annual sales of commercial goods (per employee)(1981 to 2015)

    • en.graphtochart.com
    csv
    Updated Apr 9, 2021
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    LBB Limited Liability Company (2021). Odate City's Annual sales of commercial goods (per employee)(1981 to 2015) [Dataset]. https://en.graphtochart.com/japan/odate-shi-annual-sales-of-commercial-goods-per-employee.php
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 9, 2021
    Dataset authored and provided by
    LBB Limited Liability Company
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1981 - 2015
    Area covered
    Description

    Odate City(Odate Shi)'s Annual sales of commercial goods (per employee) is 3,376[10 thousand yen] which is the 376th highest in Japan (by City). It also ranks 3rd in Akita Prefecture. Transition Graphs and Comparison chart between Odate City and Yoshikawa City(Saitama) and Musashimurayama City(Tokyo)(Closest City in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

  20. India ICICI Bank: Profit per Employee

    • ceicdata.com
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    CEICdata.com, India ICICI Bank: Profit per Employee [Dataset]. https://www.ceicdata.com/en/india/private-sector-banks-selected-financial-ratios-icici-bank/icici-bank-profit-per-employee
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2007 - Mar 1, 2018
    Area covered
    India
    Variables measured
    Performance Indicators
    Description

    India ICICI Bank: Profit per Employee data was reported at 0.800 % in 2018. This records a decrease from the previous number of 1.200 % for 2017. India ICICI Bank: Profit per Employee data is updated yearly, averaging 1.073 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 1.600 % in 2015 and a record low of 0.533 % in 2002. India ICICI Bank: Profit per Employee data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBN009: Private Sector Banks: Selected Financial Ratios: ICICI Bank.

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Statista (2025). Average gross profit per employee by sector U.S. 2018 [Dataset]. https://www.statista.com/statistics/1079021/average-gross-profit-employee-sector-us/
Organization logo

Average gross profit per employee by sector U.S. 2018

Explore at:
Dataset updated
Jul 18, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2018
Area covered
United States
Description

According to a report by Casaleggio Associati, the energy sector had the highest average gross profit per employee in the United States in 2018. That year, the energy sector's average gross profit was *** million U.S. dollars per employee.

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