Starbucks (SBUX) Other Operating Expenses (2009 - 2026)
Starbucks (SBUX) reported Other Operating Expenses of $6.9 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 6.7% from $7.39 billion a year earlier and down 10.6% from the prior quarter.
Powered by 
Analysis
Starbucks (SBUX) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Starbucks' Other Operating Expenses came in at $29.32 billion, up 3.3% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $28.47 billion, up 5.8% from FY2024.
- Other Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- By fiscal year, Other Operating Expenses came in at $26.91 billion in FY2024 (+1.3%), $26.57 billion in FY2023 (+9.6%), $24.25 billion in FY2022 (+19.3%) and $20.33 billion in FY2021 (+10.3%).
- Five-year quarterly Other Operating Expenses spans a low of $5.75 billion in fiscal Q4 2021 and a high of $7.85 billion in fiscal Q1 2026.
- Year over year, Other Operating Expenses gained in six of the last eight quarters, with growth averaging 4.4%.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q4 2021 (growth of 33.6%); the low point was fiscal Q3 2026 (a decline of 6.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $7.72 billion (Q2 2026), $7.85 billion (Q1 2026) and $6.86 billion (Q4 2025).
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 | 131.90 Mn |
| Mar 29, 2026 | 130.50 Mn |
| Dec 28, 2025 | 131.20 Mn |
| Sep 28, 2025 | 141.80 Mn |
| Jun 29, 2025 | 151.60 Mn |
| Mar 30, 2025 | 138.70 Mn |
| Dec 29, 2024 | 152.50 Mn |
| Sep 29, 2024 | 138.50 Mn |
| Jun 30, 2024 | 143.90 Mn |
| Mar 31, 2024 | 132.80 Mn |
| Dec 31, 2023 | 150.40 Mn |
| Oct 1, 2023 | 145.30 Mn |
| Jul 2, 2023 | 138.70 Mn |
| Apr 2, 2023 | 126.20 Mn |
| Jan 1, 2023 | 129.30 Mn |
| Oct 2, 2022 | 123.10 Mn |
| Jul 3, 2022 | 135.10 Mn |
| Apr 3, 2022 | 101.70 Mn |
| Jan 2, 2022 | 101.70 Mn |
| Oct 3, 2021 | 108.70 Mn |
API Access
Starbucks Other 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=other-operating-expenses&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();