Starbucks (SBUX) Enterprise Value (2009 - 2026)
Starbucks (SBUX) posted Enterprise Value of $115.64 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 15.4% from $100.2 billion a year earlier and up 18.9% from the prior quarter.
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Analysis
Starbucks (SBUX) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Enterprise Value at Starbucks was $106.88 billion, up 19.2% year-over-year; for FY2025 (ended Sep 28, 2025), it was $91.35 billion, down 14.5% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In prior fiscal years, Starbucks' Enterprise Value was $106.82 billion in FY2024 (+6.5%), $100.34 billion in FY2023 (+7.3%), $93.55 billion in FY2022 (-26.1%) and $126.63 billion in FY2021 (+34.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Enterprise Value since fiscal Q2 2023.
- On a year-over-year basis, Enterprise Value increased in four of the last eight quarters, with growth averaging 1.4%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q4 2021, with growth of 34.3%; the weakest was fiscal Q3 2022, with a decline of 31.7%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $97.24 billion (Q2 2026), $93.34 billion (Q1 2026) and $91.35 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 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 | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 115.64 Bn |
| Mar 29, 2026 | 97.24 Bn |
| Dec 28, 2025 | 93.34 Bn |
| Sep 28, 2025 | 91.35 Bn |
| Jun 29, 2025 | 100.20 Bn |
| Mar 30, 2025 | 108.06 Bn |
| Dec 29, 2024 | 100.84 Bn |
| Sep 29, 2024 | 106.82 Bn |
| Jun 30, 2024 | 84.84 Bn |
| Mar 31, 2024 | 100.40 Bn |
| Dec 31, 2023 | 105.33 Bn |
| Oct 1, 2023 | 100.34 Bn |
| Jul 2, 2023 | 109.85 Bn |
| Apr 2, 2023 | 115.93 Bn |
| Jan 1, 2023 | 110.71 Bn |
| Oct 2, 2022 | 93.55 Bn |
| Jul 3, 2022 | 87.70 Bn |
| Apr 3, 2022 | 100.94 Bn |
| Jan 2, 2022 | 130.50 Bn |
| Oct 3, 2021 | 126.63 Bn |
API Access
Starbucks Enterprise Value 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=enterprise-value&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();