Starbucks (SBUX) Enterprise Value (2009 - 2026)
Starbucks (SBUX) posted Enterprise Value of $108.15 billion for fiscal Q4 2026 (quarter ended Sep 27, 2026), up 18.4% from $91.35 billion a year earlier but down 6.5% from the prior quarter.
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Analysis
Starbucks (SBUX) Enterprise Value (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Starbucks' Enterprise Value came in at $107.85 billion, up 18.1% from FY2025.
- Annual Enterprise Value shows a five-year compound annual growth rate of -3.2% (FY2021 to FY2026).
- In prior fiscal years, Starbucks' Enterprise Value was $91.35 billion in FY2025 (-14.5%), $106.82 billion in FY2024 (+6.5%), $100.34 billion in FY2023 (+7.3%) and $93.55 billion in FY2022 (-26.1%).
- Quarterly Enterprise Value has run from a low of $84.84 billion in fiscal Q3 2024 to a high of $130.5 billion in fiscal Q1 2022 over five years.
- On a year-over-year basis, Enterprise Value increased in four of the last eight quarters, with growth averaging 2.9%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q3 2023, with growth of 25.3%; 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 $115.64 billion (Q3 2026), $97.24 billion (Q2 2026) and $93.34 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn |
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();