Starbucks (SBUX) Net of Acquisitions & Divestments (2009 - 2024)
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Analysis
Starbucks (SBUX) Net of Acquisitions & Divestments (2009 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.79 Bn | 166.61 Bn | 6.42 Bn | - |
| 2 | Starbucks | 109.56 Bn | 97.18 Bn | - | - |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.19 Bn | 35.17 Bn | - | - |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.34 Bn | 23.44 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.20 Bn | 10.54 Bn | - | - |
| 10 | Luckin Coffee | 10.70 Bn | 9.79 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2024 | -177.10 Mn |
| Sep 29, 2019 | 100,000.00 |
| Jun 30, 2019 | 635.70 Mn |
| Mar 31, 2019 | 48.50 Mn |
| Apr 1, 2018 | -1.23 Bn |
| Dec 31, 2017 | 526.60 Mn |
| Oct 1, 2017 | 85.40 Mn |
| Jun 26, 2016 | 39.40 Mn |
| Dec 27, 2015 | 30.20 Mn |
| Sep 27, 2015 | 8.90 Mn |
| Dec 28, 2014 | -284.30 Mn |
| Sep 28, 2014 | 103.90 Mn |
| Sep 29, 2013 | -29.10 Mn |
| Jun 30, 2013 | -8.10 Mn |
| Mar 31, 2013 | -518.50 Mn |
| Sep 30, 2012 | -99.40 Mn |
| Jan 1, 2012 | -29.70 Mn |
| Oct 2, 2011 | -55.80 Mn |
| Oct 3, 2010 | -1.40 Mn |
| Dec 27, 2009 | -10.60 Mn |
API Access
Starbucks Net of Acquisitions & Divestments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "SBUX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();