Starbucks (SBUX) Other Operating Expenses (2009 - 2026)
Starbucks (SBUX) recorded Other Operating Expenses of $131.9 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 13.0% from $151.6 million a year earlier but up 1.1% from the prior quarter.
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Analysis
Starbucks (SBUX) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Starbucks' Other Operating Expenses came in at $535.4 million as of Jun 28, 2026, down 7.9% year-over-year; for FY2025 (ended Sep 28, 2025), it was $584.6 million, up 3.4% from FY2024.
- Annual Other Operating Expenses has increased for four straight fiscal years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $565.6 million in FY2024 (+4.9%), $539.4 million in FY2023 (+16.9%), $461.5 million in FY2022 (+28.4%) and $359.5 million in FY2021 (-16.5%).
- Quarterly Other Operating Expenses has ranged from $101.7 million in fiscal Q1 2022 to $152.5 million in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for three consecutive quarters, with an average decline of 3.0% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 89.2% in fiscal Q3 2022, against a decline of 14.0% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $130.5 million (Q2 2026), $131.2 million (Q1 2026) and $141.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 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 | 10.72 Bn | 9.80 Bn | - |
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();