Starbucks (SBUX) EBITDA (2009 - 2026)
Starbucks' EBITDA was $1.37 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 1.0% from $1.38 billion a year earlier but up 12.6% from the prior quarter.
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Analysis
Starbucks (SBUX) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Starbucks' EBITDA was $4.64 billion through Jun 28, 2026, down 18.3% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $4.71 billion, down 32.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $7 billion in FY2024 (-4.4%), $7.32 billion in FY2023 (+19.1%), $6.15 billion in FY2022 (-3.9%) and $6.4 billion in FY2021 (+108.7%).
- Quarterly EBITDA has moved between $734.2 million (fiscal Q4 2025) and $2.08 billion (fiscal Q4 2023) over five years.
- Compared with a year earlier, EBITDA was higher in 1 of the last eight quarters, with an average decline of 18.7%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2021 (growth of 98.4%); the worst was fiscal Q4 2025 (a decline of 57.0%).
- Per Business Quant data, SBUX's EBITDA in the three fiscal quarters before Q3 2026 was $1.22 billion (Q2 2026), $1.32 billion (Q1 2026) and $734.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.79 Bn | 166.61 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 109.56 Bn | 97.18 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.19 Bn | 35.17 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.34 Bn | 23.44 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.20 Bn | 10.54 Bn | - | 201.13 Mn |
| 10 | Luckin Coffee | 10.70 Bn | 9.79 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.37 Bn |
| Mar 29, 2026 | 1.22 Bn |
| Dec 28, 2025 | 1.32 Bn |
| Sep 28, 2025 | 734.20 Mn |
| Jun 29, 2025 | 1.38 Bn |
| Mar 30, 2025 | 1.04 Bn |
| Dec 29, 2024 | 1.55 Bn |
| Sep 29, 2024 | 1.71 Bn |
| Jun 30, 2024 | 1.92 Bn |
| Mar 31, 2024 | 1.50 Bn |
| Dec 31, 2023 | 1.87 Bn |
| Oct 1, 2023 | 2.08 Bn |
| Jul 2, 2023 | 1.95 Bn |
| Apr 2, 2023 | 1.69 Bn |
| Jan 1, 2023 | 1.60 Bn |
| Oct 2, 2022 | 1.56 Bn |
| Jul 3, 2022 | 1.69 Bn |
| Apr 3, 2022 | 1.34 Bn |
| Jan 2, 2022 | 1.56 Bn |
| Oct 3, 2021 | 1.86 Bn |
API Access
Starbucks EBITDA 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=ebitda&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();