8 datasets found
  1. ☕Starbucks Store Location 2023:Coffee Giant Growth

    • kaggle.com
    Updated May 23, 2023
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    Omar Sobhy (2023). ☕Starbucks Store Location 2023:Coffee Giant Growth [Dataset]. https://www.kaggle.com/datasets/omarsobhy14/starbucks-store-location-2023
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 23, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Omar Sobhy
    License

    https://www.reddit.com/wiki/apihttps://www.reddit.com/wiki/api

    Description

    The Starbucks Store Location Dataset was created by Starbucks in order to provide a comprehensive and up-to-date list of all of their store locations around the world. The dataset includes information such as the store's name, address, phone number, and hours of operation. It is available to the public for free on the Starbucks website.

    The dataset was created in order to help customers find Starbucks stores near them. It can also be used by businesses and researchers to learn more about Starbucks' global reach. The dataset is updated regularly to ensure that it is always accurate.

    The Starbucks Store Location Dataset is a valuable resource for anyone who wants to learn more about Starbucks or find a Starbucks store near them. It is a great example of how data can be used to improve the customer experience and make businesses more efficient.

    Here are some of the specific details about the context and inspiration behind the Starbucks Store Location Dataset:

    1. Context: Starbucks is a global coffeehouse company with over 30,000 stores in 80 countries. The company has been expanding rapidly in recent years, and it is important for them to have a comprehensive and up-to-date list of all of their store locations.
    2. Inspiration: The inspiration for the Starbucks Store Location Dataset came from the company's desire to make it easier for customers to find Starbucks stores near them. The dataset is also used by businesses and researchers to learn more about Starbucks' global reach.
    3. Benefits: The Starbucks Store Location Dataset provides a number of benefits for both Starbucks and its customers. For Starbucks, the dataset helps them to improve the customer experience by making it easier for customers to find stores. For customers, the dataset makes it easier to find Starbucks stores near them, which can save them time and money.
  2. m

    Starbucks Corporation - Total-Stockholder-Equity

    • macro-rankings.com
    csv, excel
    Updated Aug 11, 2024
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    macro-rankings (2024). Starbucks Corporation - Total-Stockholder-Equity [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=SBUX.US&Item=Total-Stockholder-Equity
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 11, 2024
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Total-Stockholder-Equity Time Series for Starbucks Corporation. Starbucks Corporation, together with its subsidiaries, operates as a roaster, marketer, and retailer of coffee worldwide. The company operates through three segments: North America, International, and Channel Development. Its stores offer coffee, tea, and other beverages, roasted whole beans and ground coffees, single serve products, and ready-to-drink beverages; and various food products, such as pastries, breakfast sandwiches, and lunch items. The company also licenses its trademarks through licensed stores, and grocery and foodservice accounts. The company offers its products under the Starbucks Coffee, Teavana, Seattle's Best Coffee, Ethos, and Starbucks Reserve brands. It partners with Global Food Banking Network support food security and reduce food waste. Starbucks Corporation was founded in 1971 and is based in Seattle, Washington.

  3. Starbucks Locations Worldwide 2021 version

    • kaggle.com
    Updated Jan 3, 2022
    + more versions
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    kukuroo3 (2022). Starbucks Locations Worldwide 2021 version [Dataset]. https://www.kaggle.com/kukuroo3/starbucks-locations-worldwide-2021-version/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 3, 2022
    Dataset provided by
    Kaggle
    Authors
    kukuroo3
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Starbucks started as a roaster and retailer of whole bean and ground coffee, tea and spices with a single store in Seattle’s Pike Place Market in 1971. The company now operates more than 28,289 retail stores in 49 countries.

    Content

    This dataset includes a record for every Starbucks or subsidiary store location currently in operation as of Nov 2021

    Acknowledgements

    This data was scraped from the Starbucks store locator webpage (https://www.starbucks.com/store-locator/store/)

    and it's updated data of https://www.kaggle.com/starbucks/store-locations

    Inspiration

    What city or country has the highest number of Starbucks stores per capita? What two Starbucks locations are the closest in proximity to one another? What location on Earth is farthest from a Starbucks? How has Starbucks expanded overseas?

  4. m

    Starbucks Corporation - Cash-Conversion-Cycle

    • macro-rankings.com
    csv, excel
    Updated Jul 10, 2024
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    macro-rankings (2024). Starbucks Corporation - Cash-Conversion-Cycle [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=SBUX.US&Item=Cash-Conversion-Cycle
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Jul 10, 2024
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Cash-Conversion-Cycle Time Series for Starbucks Corporation. Starbucks Corporation, together with its subsidiaries, operates as a roaster, marketer, and retailer of coffee worldwide. The company operates through three segments: North America, International, and Channel Development. Its stores offer coffee, tea, and other beverages, roasted whole beans and ground coffees, single serve products, and ready-to-drink beverages; and various food products, such as pastries, breakfast sandwiches, and lunch items. The company also licenses its trademarks through licensed stores, and grocery and foodservice accounts. The company offers its products under the Starbucks Coffee, Teavana, Seattle's Best Coffee, Ethos, and Starbucks Reserve brands. It partners with Global Food Banking Network support food security and reduce food waste. Starbucks Corporation was founded in 1971 and is based in Seattle, Washington.

  5. Starbucks revenue 2003-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Starbucks revenue 2003-2024 [Dataset]. https://www.statista.com/statistics/266466/net-revenue-of-the-starbucks-corporation-worldwide/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Starbucks’ net revenue reached ***** billion U.S. dollars in 2024. This shows an increase over the previous year's total of ***** billion U.S. dollars. The global coffeehouse chain has seen a year-over-year increase in revenue over the past decade, except for the decline in 2020 which could be attributed to stay-at-home measures implemented due to the coronavirus (COVID-19) pandemic. How many Starbucks stores are there? In recent years, Starbucks has expanded exponentially, more than doubling its units over the past 10 years. The number of Starbucks stores worldwide exceeded ** thousand in 2024. This figure also included other segments owned by the coffee-chain such as Siren Retail and Teavana. In that year, Starbucks had the most stores ***************************. Countries the company has expanded to include Turkey, Taiwan, and Indonesia. Starbucks units have grown almost every year over the past decade. The only drop was in 2009, most likely due to the global financial crisis. What Starbucks products are the most popular? While Starbucks is primarily a coffeehouse chain it also offers consumers a variety of other products. These include beverages such as teas, hot chocolates, smoothies and iced drinks, and a selection of food products. Perhaps unsurprisingly, the Starbucks revenue breakdown showed that the sale of beverages has been the number one source of revenue for the chain over the last decade. Meanwhile, food sales have also been a large contributor to Starbucks’ revenue in recent years.

  6. m

    Starbucks Corporation - Operating-Expenses

    • macro-rankings.com
    csv, excel
    Updated Aug 23, 2025
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    macro-rankings (2025). Starbucks Corporation - Operating-Expenses [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=SBUX.US&Item=Operating-Expenses
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 23, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Operating-Expenses Time Series for Starbucks Corporation. Starbucks Corporation, together with its subsidiaries, operates as a roaster, marketer, and retailer of coffee worldwide. The company operates through three segments: North America, International, and Channel Development. Its stores offer coffee, tea, and other beverages, roasted whole beans and ground coffees, single serve products, and ready-to-drink beverages; and various food products, such as pastries, breakfast sandwiches, and lunch items. The company also licenses its trademarks through licensed stores, and grocery and foodservice accounts. The company offers its products under the Starbucks Coffee, Teavana, Seattle's Best Coffee, Ethos, and Starbucks Reserve brands. It partners with Global Food Banking Network support food security and reduce food waste. Starbucks Corporation was founded in 1971 and is based in Seattle, Washington.

  7. Revenue distribution of Starbucks 2009-2024, by product type

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Revenue distribution of Starbucks 2009-2024, by product type [Dataset]. https://www.statista.com/statistics/219513/starbucks-revenue-by-product-type/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    During the 2024 financial year, Starbucks generated a majority of its global revenue from ***************** which amounted to ***** billion U.S. dollars. In comparison, the revenue from its ************* amounted to **** billion U.S. dollars. The drop in revenue from 2019 to 2020 can be at least partly attributed to the coronavirus (COVID-19) pandemic. What are Starbucks’ total assets? With over *********** Starbucks stores worldwide in 2024, the company has established itself as one of the world’s leading coffeehouse chains. During that same year, Starbucks’ total assets amounted to approximately ***** billion U.S. dollars. This figure represents an increase of nearly ****billion U.S. dollars when compared to the previous year’s total of ***** billion in 2023. How much does Starbucks spend on advertising? Starbucks was valued at over ** billion U.S. dollars worldwide in 2024, making it the ******************** quick service restaurant brand in the world. In its fiscal year ending September 2023, Starbucks’ advertising costs totaled roughly *** million U.S. dollars. This figure represents an increase in global advertising investments compared to the previous year, in which the coffeehouse chain spent ***** million U.S. dollars promoting its products and services.

  8. Coffee-commodity price and 5 company stocks

    • kaggle.com
    Updated May 10, 2024
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    Wei Hutchinson (2024). Coffee-commodity price and 5 company stocks [Dataset]. https://www.kaggle.com/datasets/weihutchinson/coffee-commodity-price-and-5-company-stocks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 10, 2024
    Dataset provided by
    Kaggle
    Authors
    Wei Hutchinson
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Overview This comprehensive dataset offers an in-depth look at the financial performance of five major entities within the coffee industry from 2014 to 2024 (up to May 8, 2024). Included are stock prices of Keurig Dr Pepper, Starbucks, J.M. Smucker, Luckin Coffee, and Nestlé, paired with the corresponding periodical commodity prices for coffee. This data facilitates robust analyses including time series analysis, correlation studies, volatility analysis, and Vector Autoregression (VAR) analysis.

    Key Companies Profiled Keurig Dr Pepper (KDP) and J.M. Smucker: These companies are leaders in the North American coffee market, known for their extensive portfolios of coffee products. Their data can provide insights into market strategies and financial health in response to fluctuating coffee prices. Starbucks: As a global leader in coffee retail, Starbucks' data reflects trends in consumer coffee consumption worldwide, offering a unique view of the retail sector's dynamics. Luckin Coffee: Representing a rapidly growing market, Luckin Coffee's data highlights the expansion and consumer trends within the Chinese coffee market. Nestlé: This global giant provides a broader perspective on how multinational food and beverage companies adapt to global commodity price changes, with a particular focus on coffee.

    Applications of the Dataset This dataset is ideal for researchers, economists, and data scientists interested in: Market Trend Analysis: Understand how global events and market forces influence coffee prices and, in turn, affect company stocks. Consumer Behaviour Studies: Analyse consumption patterns across different regions, especially with a focus on the burgeoning Asian markets. Risk Management and Forecasting: Develop models to predict future trends and prepare risk management strategies for companies within the food and beverage sector. Sustainability Studies: Explore how price volatility relates to environmental factors and sustainability initiatives.

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Omar Sobhy (2023). ☕Starbucks Store Location 2023:Coffee Giant Growth [Dataset]. https://www.kaggle.com/datasets/omarsobhy14/starbucks-store-location-2023
Organization logo

☕Starbucks Store Location 2023:Coffee Giant Growth

A Look at the Coffee Giant's Global Expansion: Future of Coffee Retail

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 23, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Omar Sobhy
License

https://www.reddit.com/wiki/apihttps://www.reddit.com/wiki/api

Description

The Starbucks Store Location Dataset was created by Starbucks in order to provide a comprehensive and up-to-date list of all of their store locations around the world. The dataset includes information such as the store's name, address, phone number, and hours of operation. It is available to the public for free on the Starbucks website.

The dataset was created in order to help customers find Starbucks stores near them. It can also be used by businesses and researchers to learn more about Starbucks' global reach. The dataset is updated regularly to ensure that it is always accurate.

The Starbucks Store Location Dataset is a valuable resource for anyone who wants to learn more about Starbucks or find a Starbucks store near them. It is a great example of how data can be used to improve the customer experience and make businesses more efficient.

Here are some of the specific details about the context and inspiration behind the Starbucks Store Location Dataset:

  1. Context: Starbucks is a global coffeehouse company with over 30,000 stores in 80 countries. The company has been expanding rapidly in recent years, and it is important for them to have a comprehensive and up-to-date list of all of their store locations.
  2. Inspiration: The inspiration for the Starbucks Store Location Dataset came from the company's desire to make it easier for customers to find Starbucks stores near them. The dataset is also used by businesses and researchers to learn more about Starbucks' global reach.
  3. Benefits: The Starbucks Store Location Dataset provides a number of benefits for both Starbucks and its customers. For Starbucks, the dataset helps them to improve the customer experience by making it easier for customers to find stores. For customers, the dataset makes it easier to find Starbucks stores near them, which can save them time and money.
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