Starbucks (SBUX) Operating Expenses (2009 - 2026)
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Analysis
Starbucks (SBUX) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | 2.84 Bn |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | 1.83 Bn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 1.83 Bn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | 1.54 Bn |
| 10 | Luckin Coffee | 11.15 Bn | 10.23 Bn | - | - |
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();