Starbucks (SBUX) Accumulated Expenses (2009 - 2026)
Starbucks (SBUX) recorded Accumulated Expenses of $2.69 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 19.7% from $2.25 billion a year earlier and up 24.0% from the prior quarter.
Powered by 
Analysis
Starbucks (SBUX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Starbucks reported Accumulated Expenses of $2.36 billion, up 7.5% from FY2024.
- Annual Accumulated Expenses has increased for three straight fiscal years, with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $2.19 billion in FY2024 (+2.3%), $2.15 billion in FY2023 (+0.4%), $2.14 billion in FY2022 (-7.9%) and $2.32 billion in FY2021 (+100.0%).
- The fiscal Q3 2026 figure is the highest quarterly Accumulated Expenses since fiscal Q3 2019.
- On a year-over-year basis, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 100.0% in fiscal Q4 2021, against a decline of 14.5% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.17 billion (Q2 2026), $2.33 billion (Q1 2026) and $2.36 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 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 | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.69 Bn |
| Mar 29, 2026 | 2.17 Bn |
| Dec 28, 2025 | 2.33 Bn |
| Sep 28, 2025 | 2.36 Bn |
| Jun 29, 2025 | 2.25 Bn |
| Mar 30, 2025 | 2.04 Bn |
| Dec 29, 2024 | 2.21 Bn |
| Sep 29, 2024 | 2.19 Bn |
| Jun 30, 2024 | 2.08 Bn |
| Mar 31, 2024 | 2.02 Bn |
| Dec 31, 2023 | 2.33 Bn |
| Oct 1, 2023 | 2.15 Bn |
| Jul 2, 2023 | 2.06 Bn |
| Apr 2, 2023 | 1.97 Bn |
| Jan 1, 2023 | 2.09 Bn |
| Oct 2, 2022 | 2.14 Bn |
| Jul 3, 2022 | 2.07 Bn |
| Apr 3, 2022 | 2.09 Bn |
| Jan 2, 2022 | 2.44 Bn |
| Oct 3, 2021 | 2.32 Bn |
API Access
Starbucks Accumulated 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=accumulated-expenses&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();