Starbucks (SBUX) Gains from Sales and Divestitures (2014 - 2023)
Starbucks' Gains from Sales and Divestitures was $91.3 million in FY2023 (year ended Oct 1, 2023).
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Analysis
Starbucks (SBUX) Gains from Sales and Divestitures (2014 - 2023) Analysis & Trends
From FY2017 onward, Starbucks has reported Gains from Sales and Divestitures for 5 fiscal years.
- Gains from Sales and Divestitures shows a five-year compound annual growth rate of -28.8% (FY2018 to FY2023).
- The FY2023 figure marks the highest annual Gains from Sales and Divestitures since FY2019.
- Per Business Quant data, Gains from Sales and Divestitures in earlier fiscal years was -$864.5 million in FY2021 and $622.8 million in FY2019 (+24.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 172.13 Bn | 166.95 Bn | 6.42 Bn |
| 2 | Starbucks | 109.42 Bn | 97.05 Bn | - |
| 3 | Yum Brands | 41.37 Bn | 38.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.34 Bn | 35.32 Bn | - |
| 5 | Restaurant Brands International | 25.76 Bn | 21.31 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.60 Bn | 9.26 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.23 Bn | 10.57 Bn | - |
| 10 | Luckin Coffee | 10.65 Bn | 9.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 2, 2023 | 91.30 Mn |
| Jan 2, 2022 | 50.70 Mn |
| Oct 3, 2021 | -1.07 Bn |
| Jun 27, 2021 | 29.30 Mn |
| Mar 28, 2021 | 42.80 Mn |
| Dec 27, 2020 | 132.60 Mn |
| Sep 27, 2020 | -124.60 Mn |
| Dec 29, 2019 | 12.70 Mn |
| Jun 30, 2019 | 601.80 Mn |
| Mar 31, 2019 | 21.00 Mn |
| Oct 2, 2016 | -24.60 Mn |
| Jun 26, 2016 | 30.10 Mn |
| Dec 27, 2015 | 600,000.00 |
| Sep 27, 2015 | 3.70 Mn |
| Dec 28, 2014 | 390.60 Mn |
API Access
Starbucks Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();