Starbucks (SBUX) Operating Income (2009 - 2026)
Starbucks' Operating Income came in at $991.8 million for fiscal Q4 2026 (quarter ended Sep 27, 2026), up 256.5% from $278.2 million a year earlier and up 1.2% from the prior quarter.
Powered by 
Analysis
Starbucks (SBUX) Operating Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Starbucks' Operating Income was $3.69 billion, up 25.7% from FY2025.
- Operating Income carries a five-year compound annual growth rate of -5.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Income was $2.94 billion in FY2025 (-45.7%), $5.41 billion in FY2024 (-7.9%), $5.87 billion in FY2023 (+27.1%) and $4.62 billion in FY2022 (-5.2%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Income since fiscal Q1 2025.
- Year-over-year, Operating Income has increased for three consecutive quarters, with growth averaging 11.5% over the last eight quarters.
- The fastest year-over-year change in Operating Income over five years came in fiscal Q4 2026 (growth of 256.5%), and the weakest in fiscal Q4 2025 (a decline of 78.7%).
- Business Quant data shows SBUX's Operating Income at $980.4 million (Q3 2026), $828.1 million (Q2 2026) and $890.8 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 980.40 Mn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 655.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 451.96 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 696.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 319.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 696.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 142.79 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 241.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 980.40 Mn |
| Mar 29, 2026 | 828.10 Mn |
| Dec 28, 2025 | 890.80 Mn |
| Sep 28, 2025 | 278.20 Mn |
| Jun 29, 2025 | 935.60 Mn |
| Mar 30, 2025 | 601.00 Mn |
| Dec 29, 2024 | 1.12 Bn |
| Sep 29, 2024 | 1.31 Bn |
| Jun 30, 2024 | 1.52 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.49 Bn |
| Oct 1, 2023 | 1.71 Bn |
| Jul 2, 2023 | 1.58 Bn |
| Apr 2, 2023 | 1.33 Bn |
| Jan 1, 2023 | 1.25 Bn |
| Oct 2, 2022 | 1.20 Bn |
| Jul 3, 2022 | 1.30 Bn |
| Apr 3, 2022 | 948.90 Mn |
| Jan 2, 2022 | 1.18 Bn |
| Oct 3, 2021 | 1.48 Bn |
API Access
Starbucks Operating Income 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-income&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();