80 datasets found
  1. b

    Airbnb Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Aug 25, 2020
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    Business of Apps (2020). Airbnb Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/airbnb-statistics/
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    Dataset updated
    Aug 25, 2020
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    In 2007, a cash-strapped Brian Chesky came up with a shrewd way to pay his $1,200 San Francisco apartment rent. He would offer “Air bed and breakfast”, which consisted of three airbeds,...

  2. Airbnb revenue 2017-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Airbnb revenue 2017-2024 [Dataset]. https://www.statista.com/statistics/1193134/airbnb-revenue-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The total revenue of Airbnb reached **** billion U.S. dollars in 2024. This was an increase over the previous year's total of **** billion. The decrease in revenue in 2020 can be attributed to the coronavirus (COVID-19) pandemic, which caused travel disruption across the globe. When breaking down Airbnb revenue by region, ***************************************, brought in the most revenue in 2024. Where are Airbnb’s biggest markets? Airbnb is a home sharing economy platform that operates in many countries around the world. The company’s biggest market is in ************* where Airbnb’s gross booking value amounted to **** billion U.S. dollars. Meanwhile, Latin American travelers stayed more nights with Airbnb on average than those in the Asia Pacific region. How did COVID-19 impact Airbnb? The COVID-19 pandemic impacted the travel and tourism industry worldwide, with many countries initiating stay at home orders or travel bans to prevent the spread of the virus. In addition to a decrease in revenue in 2020, the company also experienced a reduction in the number of nights and experiences booked with Airbnb. Bookings fell to under *** million in 2020 due to these travel restrictions. In 2024, Airbnb reported over *** million booked nights and experiences, a significant increase over the previous year.

  3. Airbnb revenue 2019-2024, by region

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Airbnb revenue 2019-2024, by region [Dataset]. https://www.statista.com/statistics/1193565/airbnb-revenue-by-region-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    ************* was the region that brought in the highest amount of Airbnb’s worldwide revenue in 2024, at ************ U.S. dollars. As the company is based in the United States, this is not surprising. However, the Europe, Middle East, and Africa (EMEA) region was not too far behind with *********** U.S. dollars in revenue.************** also reported the highest average number of nights booked by region with Airbnb in 2024.

  4. s

    Airbnb Gross Revenue By Country

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Gross Revenue By Country [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

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

    Description

    These are the Airbnb statistics on gross revenue by country.

  5. s

    Airbnb Commission Revenue By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Commission Revenue By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

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

    Description

    This is the complete breakdown of how much revenue Airbnb makes in commission from listings in each region.

  6. Airbnb revenue 2020 to 2024

    • statista.com
    Updated May 6, 2025
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    Statista (2025). Airbnb revenue 2020 to 2024 [Dataset]. https://www.statista.com/statistics/1508753/airbnb-revenue/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The revenue of Airbnb with headquarters in the United States amounted to 11.1 billion 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 7.72 billion U.S. dollars. The trend from 2020 to 2024 shows, furthermore, that this increase happened continuously.

  7. Average annual revenue of Airbnbs Australia 2024, by select city or region

    • statista.com
    Updated May 20, 2025
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    Statista (2025). Average annual revenue of Airbnbs Australia 2024, by select city or region [Dataset]. https://www.statista.com/statistics/1376763/australia-average-annual-revenue-of-airbnbs-by-select-city-or-region/
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    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    In 2024, Airbnbs in Noosa Heads in Queensland, Australia, had the highest average annual revenue across the cities and regions represented, with a revenue of over 103,500 Australian dollars. Byron Bay was also a highly profitable Airbnb location for hosts that year.

  8. M

    Airbnb Net Income/Loss 2018-2025 | ABNB

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Airbnb Net Income/Loss 2018-2025 | ABNB [Dataset]. https://www.macrotrends.net/stocks/charts/ABNB/airbnb/net-income-loss
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Airbnb net income/loss for the twelve months ending March 31, 2025 was $5.808B, a 47.03% decline year-over-year. Airbnb annual net income/loss for 2024 was $2.648B, a 44.74% decline from 2023. Airbnb annual net income/loss for 2023 was $4.792B, a 153.14% increase from 2022. Airbnb annual net income/loss for 2022 was $1.893B, a 637.78% decline from 2021.

  9. s

    Airbnb Average Prices By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Average Prices By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

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

    Description

    The current average price per night globally on Airbnb is $137 per night.

  10. Revenue of Airbnb India FY 2018-2020

    • statista.com
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    Statista, Revenue of Airbnb India FY 2018-2020 [Dataset]. https://www.statista.com/statistics/1229487/airbnb-india-revenue/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In financial year 2020, the revenue of accommodation platform Airbnb India stood at *** million Indian rupees. This was a significant increase compared to the previous two years. The financial year 2020 was already impacted by the coronavirus (COVID-19) pandemic. In late March 2020, the Indian government imposed a countrywide lockdown as well as travel restrictions.

  11. s

    Airbnb Corporate Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Corporate Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

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

    Description

    Airbnb has a total of 6,132 employees that work for the company. 52.5% of Airbnb workers are male and 47.5% are female.

  12. s

    Airbnb Listings Per Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Listings Per Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

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

    Description

    Listings per region on Airbnb declined from 2020 to 2021. Globally in 2021, there were a total of 12.7 million listings.

  13. s

    Airbnb Guest Demographic Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Guest Demographic Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

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

    Description

    The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.

  14. Airbnb Inc Analysis Report Financial Insight Strategic Review

    • quaintel.com
    Updated Aug 9, 2023
    + more versions
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    Quaintel Research Solutions (2023). Airbnb Inc Analysis Report Financial Insight Strategic Review [Dataset]. https://quaintel.com/store/report/airbnb-inc-company-profile-swot-pestle-value-chain-analysis
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    Dataset updated
    Aug 9, 2023
    Dataset provided by
    Quaintel Research
    Authors
    Quaintel Research Solutions
    License

    https://quaintel.com/privacy-policyhttps://quaintel.com/privacy-policy

    Area covered
    Global
    Description

    Airbnb Inc report offers Analysis review with SWOT PESTLE Value Chain Financial Insight and ESG strategies covering trends and risks for strong business growth.: “ Read More

  15. Number of Airbnb listings in selected Italian cities 2025

    • ai-chatbox.pro
    • statista.com
    Updated May 31, 2025
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    Statista Research Department (2025). Number of Airbnb listings in selected Italian cities 2025 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F46635%2Ftourism-in-italian-cities%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 31, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Italy
    Description

    According to a March 2025 analysis, Rome reported the highest number of Airbnb listings among the selected Italian cities. As of that month, there were over 34,000 establishments listed on Airbnb in the Italian capital. Milan and Florence followed behind, with over 16,000 and 12,000 listings on Airbnb. What are the leading brands for accommodation bookings in Italy? According to the Statista Consumer Insights Global survey, Airbnb was the second most popular brand for hotel and private accommodation online bookings in Italy in 2024, with over a quarter of respondents having booked accommodation via that website. That year, Booking.com topped the ranking, with almost three-quarters of the sample reporting using that provider. Booking Holdings vs. Airbnb Booking Holdings, which operates the Booking.com brand, and Airbnb are among the biggest companies in the online travel market. In 2025, Booking Holdings had the highest market cap of the leading online travel companies worldwide, while Airbnb ranked second. Both companies experienced an annual increase in earnings in 2024. That year, Booking Holdings' revenue peaked at almost 24 billion U.S. dollars. Meanwhile, Airbnb's revenue also reached an all-time high for the company in 2024.

  16. k

    Airbnb (ABNB) Stock: A Travel Revolution in the Making (Forecast)

    • kappasignal.com
    Updated Jul 28, 2024
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    KappaSignal (2024). Airbnb (ABNB) Stock: A Travel Revolution in the Making (Forecast) [Dataset]. https://www.kappasignal.com/2024/07/airbnb-abnb-stock-travel-revolution-in.html
    Explore at:
    Dataset updated
    Jul 28, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Airbnb (ABNB) Stock: A Travel Revolution in the Making

    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

  17. Airbnb operating profit 2020 to 2024

    • statista.com
    Updated May 6, 2025
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    Statista (2025). Airbnb operating profit 2020 to 2024 [Dataset]. https://www.statista.com/statistics/1508771/airbnb-operating-profit/
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The operating profit of Airbnb with headquarters in the United States amounted to 2.6 billion 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 6.1 billion U.S. dollars. The trend from 2020 to 2024 shows, however, that this increase did not happen continuously.

  18. Airbnb Stock: Is It a Buy, Sell, or Hold for the Next 3 Months? (Forecast)

    • kappasignal.com
    Updated Jun 5, 2023
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    KappaSignal (2023). Airbnb Stock: Is It a Buy, Sell, or Hold for the Next 3 Months? (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/airbnb-stock-is-it-buy-sell-or-hold-for.html
    Explore at:
    Dataset updated
    Jun 5, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Airbnb Stock: Is It a Buy, Sell, or Hold for the Next 3 Months?

    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

  19. Airbnb Stock: A Hold for the Next 6 Months (Forecast)

    • kappasignal.com
    Updated Jun 5, 2023
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    KappaSignal (2023). Airbnb Stock: A Hold for the Next 6 Months (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/airbnb-stock-hold-for-next-6-months.html
    Explore at:
    Dataset updated
    Jun 5, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Airbnb Stock: A Hold for the Next 6 Months

    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

  20. V

    Vacation Rental Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Mar 14, 2025
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    Market Report Analytics (2025). Vacation Rental Market Report [Dataset]. https://www.marketreportanalytics.com/reports/vacation-rental-market-4083
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Europe
    Variables measured
    Market Size
    Description

    The vacation rental market, valued at $86.12 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 25.79% from 2025 to 2033. This surge is driven by several factors. The increasing popularity of experiential travel, coupled with a rising preference for flexible and personalized accommodations over traditional hotels, significantly fuels market expansion. Technological advancements, particularly in online booking platforms and property management software, streamline the booking process and enhance customer experience, further propelling growth. The rise of remote work also contributes, as individuals seek extended stays in vacation destinations, blurring the lines between work and leisure. Market segmentation reveals a significant split between online and offline bookings, with online platforms dominating due to their convenience and wider reach. Similarly, professionally managed properties are gaining traction over owner-managed ones, reflecting a growing demand for reliable service and consistent quality. Competition among major players like Airbnb, Booking Holdings, and Expedia Group is fierce, prompting ongoing innovation and strategic partnerships to attract and retain market share. However, certain restraints impact market growth. Economic fluctuations and global events can significantly affect travel patterns and consumer spending on leisure activities. Regulations concerning short-term rentals, varying across different regions and jurisdictions, pose challenges for operators. Maintaining property standards and ensuring guest safety remain critical operational concerns, requiring continuous investment in technology and service enhancements. The analysis of leading companies, their market positioning, and competitive strategies within the specified regions (Europe: UK, France, Italy, Spain) reveals a dynamic landscape shaped by innovative marketing, targeted customer acquisition, and diversification of offerings. Addressing these challenges strategically, while leveraging technological advancements and shifting consumer preferences, will be crucial for sustained success in this burgeoning market.

Share
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Click to copy link
Link copied
Close
Cite
Business of Apps (2020). Airbnb Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/airbnb-statistics/

Airbnb Revenue and Usage Statistics (2025)

Explore at:
38 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 25, 2020
Dataset authored and provided by
Business of Apps
License

Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically

Description

In 2007, a cash-strapped Brian Chesky came up with a shrewd way to pay his $1,200 San Francisco apartment rent. He would offer “Air bed and breakfast”, which consisted of three airbeds,...

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