Starbucks (SBUX) Operating Expenses (2009 - 2026)
Starbucks (SBUX) recorded Operating Expenses of $8.42 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 1.8% from $8.58 billion a year earlier and down 3.8% from the prior quarter.
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Analysis
Starbucks (SBUX) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Starbucks' Operating Expenses came in at $35.64 billion as of Jun 28, 2026, up 8.0% year-over-year; for FY2025 (ended Sep 28, 2025), it was $34.5 billion, up 11.0% from FY2024.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $31.07 billion in FY2024 (+1.9%), $30.49 billion in FY2023 (+9.4%), $27.87 billion in FY2022 (+13.4%) and $24.57 billion in FY2021 (+10.3%).
- The fiscal Q3 2026 figure is the lowest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 7.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 19.1% in fiscal Q4 2025, against a decline of 1.8% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.75 billion (Q2 2026), $9.08 billion (Q1 2026) and $9.38 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.54 Bn |
| 10 | Dominos Pizza | 9.67 Bn | 9.01 Bn | 478.23 Mn | 115.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 8.42 Bn |
| Mar 29, 2026 | 8.75 Bn |
| Dec 28, 2025 | 9.08 Bn |
| Sep 28, 2025 | 9.38 Bn |
| Jun 29, 2025 | 8.58 Bn |
| Mar 30, 2025 | 8.22 Bn |
| Dec 29, 2024 | 8.32 Bn |
| Sep 29, 2024 | 7.87 Bn |
| Jun 30, 2024 | 7.67 Bn |
| Mar 31, 2024 | 7.53 Bn |
| Dec 31, 2023 | 8.00 Bn |
| Oct 1, 2023 | 7.79 Bn |
| Jul 2, 2023 | 7.65 Bn |
| Apr 2, 2023 | 7.54 Bn |
| Jan 1, 2023 | 7.52 Bn |
| Oct 2, 2022 | 7.31 Bn |
| Jul 3, 2022 | 6.91 Bn |
| Apr 3, 2022 | 6.74 Bn |
| Jan 2, 2022 | 6.91 Bn |
| Oct 3, 2021 | 6.78 Bn |
API Access
Starbucks Operating Expenses 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=operating-expenses&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();